HKSI Paper 10: 70 Key Concepts and Study Guide
Welcome to your revision outline for HKSI Paper 10: Credit Rating Services. This guide is built directly on the official syllabus effective from 4 September 2025 and follows its eight topics in the official order, from the foundations of credit as a financial discipline through to sovereign ratings. The exam itself is 40 multiple-choice questions in 60 minutes, with a pass mark of 70%, so steady, accurate coverage of the whole syllabus matters more than cramming any single area.
Work through 70 key concepts covering credit fundamentals, rating agencies, corporate and financial-institution credit, public-sector and sovereign ratings, structured finance, and the rating process. Use the explanations, original scenarios and self-checks to find what needs more practice. The official Paper 10 eStudy Guide is currently version 3.1; this article is an independent revision companion to its public syllabus.
Exam format: HKSI examination overview . Latest published pass rate: 0.00% (Jun 2026) . A pass rate is a past result for a group of candidates, not your required score.
How to use these 70 concepts
- Work through the topics in the official order given here, because later topics build on earlier ones: you cannot understand bank or sovereign ratings without first grasping credit risk and the rating process. Read each concept title, then study that idea in your study materials until you could explain it aloud in your own words.
- Treat the 70 concept titles as a checklist. After each study session, go down the list and mark each concept as confident, shaky or not yet covered. Revisit the shaky ones within a few days; spaced repetition of the concepts you half-know is where most of your retention gains come from.
- Adapt the four-stage study plan to your own timetable. If you already work in credit or fixed income, you can move quickly through Topics 1 and 2 and spend the saved time on the more technical areas such as structured finance and sovereign methodologies. If the material is new to you, allow extra time in the early stages.
The practice examples are original and hypothetical unless explicitly identified as a published case. The concept count is a revision structure; it does not represent official question frequency or topic weighting.
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Topic 1: Overview of Credit as a Financial Discipline
The foundations: what credit means legally, economically and socially, how debt differs from equity, and how credit risk, default and financial statement analysis underpin everything that follows in the syllabus.
1. Credit from legal, economic and social perspectives
Legally, credit is a contractual promise to repay, giving the lender enforceable rights. Economically, it transfers purchasing power from savers to borrowers, funding investment and consumption. Socially, access to credit and trust between parties shape participation in the economy.
Example. A company borrows HK$1 million from a bank: the loan contract creates legal repayment rights, the bank's surplus funds finance a new factory, and the community gains jobs.
Watch out. Treating credit as only a legal contract and ignoring its economic role of reallocating funds between savers and borrowers.
Self-check: An enforceable loan agreement best illustrates which dimension of credit?
Answer: The legal perspective.
2. Debt versus equity as a financial investment
Debt is a contractual claim: the investor lends money, expects scheduled interest and principal repayment, and ranks ahead of owners if the issuer fails. Equity is ownership with no guaranteed return; shareholders receive dividends at the company's discretion and rank last in liquidation.
Example. Invest HK$100,000 in a 5% bond: expected interest is 100,000 × 5% = HK$5,000 yearly, plus HK$100,000 principal at maturity, regardless of the issuer's profits.
Watch out. Assuming bondholders share in company growth. Debt returns are capped at contractual interest and principal; only equity enjoys upside.
Self-check: Which ranks ahead in a liquidation — bondholder or shareholder?
Answer: The bondholder's debt claim; shareholders rank last.
3. Basic credit products and their relevance to ratings
Credit products range from bilateral bank loans and overdrafts to tradable debt securities such as bonds, notes and commercial paper. Ratings matter most for tradable securities, where many dispersed investors need an independent opinion on default risk.
Example. A company uses a bank term loan for a factory, then issues HK$500 million of three-year bonds to institutions; the widely held bonds are natural candidates for a rating.
Watch out. Assuming ratings cover retail loans and deposits; they focus on debt securities and capital-markets issuers.
Self-check: Which is more likely to carry a rating — a bilateral loan or a public bond?
Answer: The public bond.
4. Default and its relationship with credit risk
Credit risk is the possibility a borrower fails to meet contractual payments. Default is the realised event — a missed interest or principal payment, or failure as defined in rating criteria. Risk exists before the event; default is the event.
Example. Assume a 1% chance an issuer misses next year's coupon. That 1% is the credit risk borne today; if the coupon is actually missed, default has occurred.
Watch out. Using the terms interchangeably. Agencies define default precisely in their criteria; credit risk is the prior probability, not the outcome.
Self-check: A missed interest payment illustrates credit risk or default?
Answer: Default — the realised payment failure.
5. Credit risk versus market risk: similarities and differences
Credit risk is loss from a borrower's failure or perceived failure to pay; market risk is loss from price movements such as interest rates or exchange rates. A bondholder faces both, but the drivers differ: issuer condition versus economy-wide prices.
Example. Assume you hold a five-year bond. Rates rise one percentage point and its price falls — market risk. The issuer's finances collapse — credit risk. Same bond, distinct sources.
Watch out. Calling them identical because both cut bond prices. Exams test the source: issuer-specific payment failure versus general market movements.
Self-check: General interest rates rise, lowering your bond's price. Which risk is this?
Answer: Market risk.
6. Stages of credit deterioration and the transition matrix
Credit quality typically deteriorates in stages: healthy, weakening, downgraded, speculative grade, distressed (trading at deep discounts with default likely), then default and recovery. A transition matrix summarises historical probabilities of moving between rating categories — including default — over a period, usually a year.
Example. Assume a matrix shows 90% of single-A issuers unchanged after a year, 9% migrated, 1% defaulted — inputs for estimating expected losses.
Watch out. Reading the matrix as a guarantee. It is a historical average; actual migration can differ, especially in stress periods.
Self-check: What does a transition matrix primarily show?
Answer: Historical probabilities of rating migration between categories, including default, over a period.
7. Assessing credit quality from financial statements: leverage, profitability and cash flow
Analysts assess credit quality through leverage (debt relative to equity or earnings), profitability (returns available to service debt) and cash flow (actual cash to pay). Profit can be positive while cash dries up, so cash flow is often decisive.
Example. Assume debt HK$400m, equity HK$200m: debt-to-equity = 400 ÷ 200 = 2×. With EBITDA HK$100m, debt/EBITDA = 4×. Falling cash flow despite stable profits flags rising risk.
Watch out. Relying on profit alone. Default is paid in cash, not accounting profit; strong earnings with weak cash conversion can precede default.
Self-check: Debt HK$600 million, EBITDA HK$150 million — what is debt/EBITDA?
Answer: 600 ÷ 150 = 4×.
8. Capital structure variations and financial stability
Capital structure is a firm's mix of debt and equity. More debt adds fixed interest obligations, so downturns strain payment capacity faster. A larger equity cushion absorbs losses and supports credit quality, though it may dilute returns.
Example. Two identical firms earn HK$50m operating profit. Firm A pays HK$10m interest, Firm B HK$40m. Profit falls 20% to HK$40m: A retains HK$30m cover, B retains HK$0m.
Watch out. Assuming leverage always helps by lifting equity returns; it also magnifies losses and default risk in downturns.
Self-check: Does substituting debt for equity, all else equal, raise or lower financial stability?
Answer: Lower it — fixed obligations thin the loss-absorbing cushion.
9. Bond pricing, yield spreads and risk premiums in debt capital markets
A bond's price moves inversely with its yield: a higher required yield lowers the present value of fixed cash flows. Investors demand a spread over the risk-free rate as a credit risk premium; weaker credit means wider spreads and lower prices.
Example. Assume risk-free 3%, spread 2%: required yield = 3% + 2% = 5%. After a downgrade the spread widens to 4%, so required yield is 7%; the fixed-coupon bond's price must fall to deliver that yield.
Watch out. Thinking a downgrade lifts price. A wider spread raises the required yield, lowering existing fixed-coupon bond prices.
Self-check: Risk-free 2%, spread 3% — required yield?
Answer: 2% + 3% = 5%.
Topic 2: The Credit Rating Industry
What credit ratings measure and what they do not, the key rating distinctions you must be able to differentiate, who the rating agencies and analytics providers are, and the regulatory and market forces shaping the industry.
10. Credit ratings as relative measures of default risk
A credit rating is a forward-looking opinion about the relative likelihood that a borrower will fail to pay as promised. It ranks issuers and issues against each other on an ordinal scale; a higher grade means lower expected default risk compared with lower grades, not a promise of repayment.
Example. Hypothetically, a historical study records one default among 1,000 AA issuers and 30 among 1,000 BB issuers over the same year. The observed BB default rate is 30 times the AA rate in that assumed sample. That describes group history, not the exact future default probability of either individual issuer.
Watch out. Treating a high rating as an absolute guarantee of repayment or of zero loss. Ratings compare default risk; they do not eliminate it.
Self-check: What does a credit rating fundamentally measure?
Answer: The relative likelihood of default: it ranks credit risk across issuers and issues rather than guaranteeing repayment.
11. Limitations in the use of credit ratings
Ratings are opinions on default risk, not investment advice, recommendations to buy or sell, or statements about price. They can lag market information, may rely on issuer-provided data, and do not measure liquidity, interest-rate or market-price risk. Users must combine ratings with their own analysis.
Example. A pension fund buys a bond rated AAA and assumes it can sell at par at any time. Rising rates then cut the bond's market price by 15% even though default risk is unchanged: the rating did not cover price risk, so the fund's assumption, not the rating, was the error.
Watch out. Using a rating as a substitute for your own due diligence, or blaming it for losses caused by interest-rate or liquidity movements it never measured.
Self-check: A rated bond falls sharply in market price with no credit event. Did the rating fail?
Answer: Not necessarily: ratings address default risk, not price or liquidity risk, so users must analyse market risk themselves.
12. Ordinal versus cardinal ratings and their applications
Most letter ratings are ordinal: they order credit quality, so AAA is better than AA, but the scale does not itself state probabilities. Cardinal approaches attach numbers, such as estimated default probabilities, to grades. Internal risk models and some credit scores are cardinal in spirit.
Example. Assume an agency publishes that grade BBB issuers defaulted at 0.3% and grade BB issuers at 2.1% over one year. The letter scale is ordinal, but these default studies let a bank translate grades into cardinal inputs: assume a 10 million portfolio, 60% BBB and 40% BB, so expected default loss is 10,000,000 x (0.6 x 0.003 + 0.4 x 0.021) = 10,000,000 x 0.0102 = 102,000.
Watch out. Assuming the gap between any two adjacent notches means the same difference in default probability everywhere on the scale; ordinal grades alone do not fix probabilities.
Self-check: Your model needs default probabilities, but you only have letter ratings. What do you need?
Answer: A cardinal layer, such as published historical default rates by grade, to convert ordinal ratings into probability estimates.
13. Issuer ratings versus issue ratings
An issuer rating assesses an entity's overall capacity and willingness to meet its financial obligations in general. An issue rating applies to one specific debt instrument and reflects its structure: seniority, security, covenants and recovery prospects. Issue ratings of the same issuer can differ from each other.
Example. Company C has an issuer rating of BBB. Its senior secured bond, ranking first with collateral, is rated BBB+ (assume +1 notch for security), while its subordinated bond ranks last and is rated BBB- (assume -1 notch). Three ratings, one issuer, because each instrument's claims differ.
Watch out. Assuming every bond of a given issuer carries the same rating. Seniority and security can move individual issue ratings above or below the issuer rating.
Self-check: Why can one company's subordinated bond be rated lower than its senior bond?
Answer: Issue ratings reflect instrument-specific seniority, security and recovery; the issuer rating covers overall creditworthiness only.
14. Credit rating agencies as neutral providers of credit opinion
A CRA's value lies in independent, neutral credit opinion: analysis must not be swayed by whoever pays or by investor pressure. Because many CRAs are paid by issuers, independence is protected through governance walls, disclosed methodologies and surveillance duties, concepts developed further in Topic 3.
Example. Assume an issuer threatens to move its rating business to another agency unless its BBB- grade is lifted. A properly governed CRA re-examines the analysis, reaches the same conclusion, and records the review; the commercial threat does not drive the credit opinion.
Watch out. Viewing the agency as the issuer's advocate or marketing agent. Its product is credibility with investors, which collapses if opinions appear bought.
Self-check: Why is analytical neutrality central to a CRA's business model?
Answer: Investors rely on the rating only if they believe it is independent of the issuer's wishes; neutrality is the product being sold.
15. Regulation pertaining to credit rating agencies
CRAs are regulated in major jurisdictions because ratings are embedded in markets. In Hong Kong, persons carrying on Type 10 regulated activity (providing credit rating services) must be licensed by, or registered with, the SFC, and must follow the SFC's Code of Conduct for Persons Providing Credit Rating Services, which covers quality and integrity of the rating process, independence and avoidance of conflicts of interest, responsibilities to the investing public and rated entities, and disclosure of the code of conduct. The US and EU run their own registration regimes, such as NRSRO and ESMA regimes respectively.
Example. Hypothetically, a new Hong Kong rating company plans to carry on Type 10 regulated activity. It obtains the appropriate corporate licence and implements the Code's requirements before starting that business. Assess the actual activity and any statutory exclusions instead of assuming every published credit comment is regulated.
Watch out. Assuming CRAs are unregulated private opinion-writers, or conversely that every rating worldwide falls under one single regulator; regimes are jurisdiction-specific.
Self-check: Which body registers credit rating agencies serving the Hong Kong market?
Answer: The SFC, under a registration regime with a CRA-specific Code of Conduct addressing independence and conflicts.
16. The Big Three and their rating scales
Moody's, S&P and Fitch dominate the global rating industry and use parallel but distinct letter scales. Moody's runs Aaa down to C with numeric modifiers 1, 2, 3; S&P and Fitch run AAA down to D with plus and minus modifiers. Equivalent grades sit across the scales, for example Moody's Baa3 broadly matches S&P's and Fitch's BBB- at the investment-grade boundary.
Example. A portfolio report lists Moody's Aa2, S&P AA and Fitch AA-. Assume the modifier conventions hold: Aa2 is the second-highest of Moody's three Aa notches (Aa1 highest, Aa3 lowest), broadly comparable to S&P's AA, while AA- is one notch below AA. On a common ordinal scale the order is roughly Aa2 at the AA level, with AA- one notch lower, so the Fitch exposure is the weakest of the three.
Watch out. Mixing scales mechanically: Moody's numeric modifiers and S&P/Fitch plus-minus modifiers denote notches within a grade, so Aa2 is not read as 'AA with a 2-point penalty'.
Self-check: Which grade is broadly equivalent across Moody's, S&P and Fitch scales at the investment-grade floor?
Answer: Moody's Baa3 corresponds broadly to S&P's BBB- and Fitch's BBB-, the lowest investment-grade notches.
17. Other credit rating agencies and credit analytics providers
Beyond the Big Three, regional and specialist agencies serve local markets and niches, sometimes with sharper local knowledge. Separately, credit analytics providers sell data, models, scores and expected-loss estimates rather than formal ratings. Their outputs may be cardinal, model-driven and continuously updated, which differs from a published rating opinion.
Example. Assume a lender screens a mid-cap borrower. A regional agency holds a public rating of BB, while an analytics vendor's model outputs a one-year default probability of 1.8%. The two tools are complementary: the rating is an ordinal opinion; the vendor's figure is a model estimate feeding the lender's own pricing.
Watch out. Treating an analytics score or market-implied measure as if it were an agency rating; different products carry different meanings, validation and regulatory treatment.
Self-check: How do credit analytics providers differ from credit rating agencies?
Answer: They supply data, models and default-probability estimates rather than formal, published rating opinions on a letter scale.
18. Key developments that drive rating processes and products
Rating processes and products evolved with market forces: the growth of bond and structured finance markets, regulatory use of ratings in capital and investment rules, and lessons from crises that exposed weaknesses, especially in structured products. These forces pushed agencies to refine methodologies, add product-specific scales, strengthen surveillance and disclose rating limitations.
Example. Assume a regulator restricts funds to investment-grade assets after a crisis. Demand for ratings rises, so agencies expand product lines; but because structured securities behaved worse than identically lettered corporate bonds, agencies then introduced separate structured finance scales so that the same letter no longer implied equal default risk across asset types.
Watch out. Assuming rating scales and methodologies are static or that identical letters always mean identical risk across corporate and structured products; history shows they were deliberately separated.
Self-check: Why did structured finance ratings come to use scales separate from corporate ratings?
Answer: Crisis experience showed same-letter structured and corporate ratings did not share default performance, so scales were split for comparability.
19. Challenges facing credit rating agencies today
CRAs face overlapping pressures: managing issuer-pays conflicts of interest, rebuilding trust after past failures, meeting heavier regulatory obligations, competitive and fee pressure, and adapting methodologies to new asset classes and fast-moving information. Their challenge is to keep opinions independent and timely while running a commercially viable business.
Example. Assume an agency wins a large new mandate but must also upgrade models for a novel lending product and document everything for its regulator. Assume compliance costs add 10% to the product's budget of 2 million, that is 200,000, while fee competition caps revenue at 2.1 million; profitability shrinks even as business grows.
Watch out. Naming only one challenge, such as conflicts, and ignoring how trust, regulation, competition and methodology change interact to constrain agencies simultaneously.
Self-check: State two distinct challenges CRAs must manage at the same time.
Answer: Conflicts of interest inherent in issuer-pays models and rising regulatory and compliance obligations, alongside competition and methodology adaptation.
Topic 3: The Credit Rating Process
How a rating is actually produced: agency governance and the separation of commercial from analytical work, the stages of the rating process, quality controls, surveillance and backtesting, methodology changes, and communication with users.
20. CRA governance: separating commercial and analytical activities
A credit rating agency must structure itself so that the people who earn fee revenue from rated issuers cannot influence the credit opinion itself. This is typically done through organisational separation: analytical departments decide ratings independently, while sales and client-relationship teams sit in a separate business line. Governance bodies such as rating committees and compliance functions reinforce this wall.
Example. Assume a CRA's sales director learns that a major issuer, paying an assumed annual fee of HK$2 million, may withdraw business if downgraded. Under a properly separated structure, the sales director has no vote in the rating committee and cannot attend its deliberations; the committee's analysts decide the rating on credit merits alone, and any contact is logged by compliance.
Watch out. Do not assume separation means analysts never speak to issuers. Analysts routinely meet management to gather information; the separation concerns commercial influence over the rating decision, not all issuer contact.
Self-check: A CRA's sales team is paid partly on fees from a rated issuer. Who should determine that issuer's rating?
Answer: The independent analytical function, through the rating committee, decides the rating on credit merits. Sales staff may manage the client relationship but must have no role or influence in the rating decision.
21. Segmentation of analytical functions within a CRA
Within the analytical side, CRAs segment analysts by sector and instrument type, such as corporate, financial institutions, public sector, structured finance and sovereign teams. Each segment develops its own criteria and expertise because credit risks differ fundamentally across issuer types. Segmentation also supports quality control, since peer review occurs among specialists who understand the same sector.
Example. Suppose a conglomerate issues both plain corporate bonds and a securitisation of its receivables. A CRA would assign the corporate bond to its corporate finance team and the securitised notes to its structured finance team, because the structured team must model collateral cash flows and structural features that corporate analysts do not normally apply.
Watch out. Do not treat segmentation as merely administrative convenience. The syllabus expects you to connect segmentation to differing methodologies and to the integrity of peer review within each specialist area.
Self-check: Why does a CRA assign a securitisation rating to a structured finance team rather than the corporate team covering the originator?
Answer: Because analytical functions are segmented by instrument type: structured finance requires distinct criteria, cash-flow modelling and expertise, and specialist peer review within that segment upholds rating quality.
22. Key stages of the credit rating process and their objectives
A typical rating process runs: engagement or mandate, information gathering (including management meetings and financial analysis), preparation of a rating committee presentation, committee deliberation and decision, notification to the issuer, and publication, followed by ongoing surveillance. Each stage has an objective: gathering complete information, applying published criteria consistently, ensuring the decision is collegial rather than individual, and keeping the rating current.
Example. Assume an issuer requests a first-time rating on 1 March. The CRA collects audited statements and meets management in March, analysts draft the committee report in April, the committee votes and assigns a rating in early May, the issuer is notified and may appeal before publication. Surveillance then monitors the credit until withdrawal.
Watch out. Do not think the rating is finalised by a single analyst. The committee stage is central: ratings are collective decisions, and the issuer typically has a chance to correct factual errors or appeal before publication.
Self-check: At which stage of the rating process does the collegial decision on the rating level formally occur, and what happens before publication?
Answer: At the rating committee deliberation and vote. Before publication, the issuer is notified, may point out factual errors, and may appeal the decision through the CRA's appeals process.
23. Analytical independence and the importance of timeliness
Independence means the rating reflects only the analyst committee's credit judgement, free from issuer pressure, commercial considerations and conflicts of interest. Timeliness means ratings and rating actions must be published promptly when credit conditions change, because investors rely on ratings being current. A rating that is independent but stale, or timely but influenced, both fail the market.
Example. Assume a rated issuer suffers a sudden event, such as its parent withdrawing a support commitment, on 10 June. A timely CRA publishes a CreditWatch or review announcement within days, stating the rating is under review for possible downgrade, rather than waiting until the next annual review to reflect the changed credit.
Watch out. Do not equate independence with ignoring the issuer entirely. The CRA seeks issuer input and corrects factual errors, but the final judgement must not be swayed by the issuer's commercial leverage or preferences.
Self-check: A major adverse credit event affects a rated issuer mid-year. Why must the CRA act quickly, and what constraint applies to its action?
Answer: Timeliness: investors depend on ratings reflecting current credit risk, so the CRA should promptly place the rating under review or take a rating action, while ensuring the decision remains analytically independent of issuer or commercial pressure.
24. Internal sources of quality control
Internal quality controls are mechanisms inside the CRA that protect rating integrity: the rating committee system, published methodologies applied consistently, criteria and analytical peer review, compliance and conflicts-of-interest functions, appeals processes, and internal audit of the rating process. Together they ensure a rating is not one person's opinion but the product of a controlled, documented procedure.
Example. Assume an analyst recommends upgrading an issuer. Before publication, a second senior analyst reviews the report against the published criteria, the rating committee debates and votes, and the compliance function confirms no analyst holds a conflict, such as shares in the issuer. Only then is the upgrade released, with the file retained for record-keeping.
Watch out. Do not confuse internal controls with external ones. Committee review, peer review and compliance checks are internal; regulatory examination and investor feedback are external sources, covered separately.
Self-check: Name three internal quality-control mechanisms a CRA uses before publishing a rating action.
Answer: For example: rating committee deliberation and vote, analytical peer review against published criteria, and compliance checks for conflicts of interest, with documentation and record-keeping supporting the whole process.
25. External sources of quality control
External quality control comes from outside the CRA: regulators who register and examine rating agencies, investors and market participants who compare rating outcomes against actual defaults, issuers who challenge factual errors, and market discipline such as reputational damage when ratings perform poorly. External scrutiny complements, but does not replace, the CRA's own controls.
Example. Assume a CRA's default study shows that bonds it rated in a given category defaulted far more often than its historical default rates for that category imply. Investors and regulators question the calibration, and the CRA responds by reviewing its criteria and publishing revised performance data, illustrating market and regulatory pressure improving quality.
Watch out. Do not claim external control means regulators approve individual ratings. Regulators oversee the CRA's processes, governance and compliance; the credit judgement itself remains the CRA's independent opinion.
Self-check: Give two external sources of quality control on a credit rating agency and explain how each operates.
Answer: Regulatory oversight: a regulator registers the CRA and examines its processes and compliance. Market discipline: investors track rating performance against defaults, so poor accuracy damages the CRA's reputation and pressures it to improve criteria.
26. Integrity, transparency, responsibility and good governance in action
These principles turn independence from a slogan into practice. Integrity means honest analysis free of conflicts; transparency means publishing methodologies, criteria and rating performance so users can see how ratings are made; responsibility means being accountable for rating actions and correcting errors; good governance means board-level oversight, codes of conduct and enforcement of the analytical-commercial separation.
Example. Assume a CRA discovers its analysts used an outdated loss-given-default assumption in a published rating. Acting responsibly, it reviews the affected ratings, publishes a correction explaining which ratings change and why, and its governance committee examines why the error persisted, updating its internal review checklist to prevent recurrence.
Watch out. Do not treat these as four vague words to memorise. The syllabus asks how they operate in practice, so link each principle to a concrete mechanism: conflicts policies, published criteria, error correction and board oversight.
Self-check: A CRA publishes its rating methodologies and historical default studies publicly. Which principle does this chiefly demonstrate, and why does it matter?
Answer: Transparency. It lets users understand how ratings are derived and verify performance against actual defaults, supporting accountability and trust in the rating process.
27. Surveillance, backtesting, reporting and record-keeping
A rating is not a one-off event. Surveillance means monitoring rated credits continuously and acting when conditions change. Backtesting compares past ratings with actual default and migration outcomes to test whether the scale performs as defined. Reporting and record-keeping mean documenting analyses, committee decisions and disclosures so the process can be reviewed by management and regulators.
Example. Assume a CRA rated 100 speculative-grade issuers and its records show that, over an assumed five-year horizon, 12 defaulted. Backtesting compares this with its published expectation for that category; if the published expectation was around 10 to 15 defaults, the scale is performing consistently, and the study is reported publicly.
Watch out. Do not mix up surveillance and backtesting. Surveillance is forward-looking monitoring of individual credits; backtesting is retrospective validation of whether the rating scale as a whole predicted default outcomes accurately.
Self-check: Distinguish surveillance from backtesting in a CRA's ongoing quality controls.
Answer: Surveillance continuously monitors each rated issuer and triggers rating actions when credit changes. Backtesting retrospectively compares historical ratings with realised defaults and migrations to validate that the rating scale performs as defined.
28. Through-the-cycle versus point-in-time rating approaches
A through-the-cycle rating aims to stay stable across the economic cycle, reflecting average conditions over a downturn, so ratings change infrequently. A point-in-time rating reflects current conditions and default risk as they stand now, so it moves more with the economic cycle. The choice affects how ratings behave: stability versus sensitivity.
Example. Assume a borrower's cash flow weakens in a recession. A through-the-cycle CRA might hold its rating, judging the weakness temporary against through-cycle expectations, while a point-in-time assessment would show deterioration immediately. Over the cycle, the through-the-cycle rating migrates less, but its current reading is a less up-to-date default predictor.
Watch out. Do not say one approach is simply 'better'. Through-the-cycle ratings are more stable and less procyclical; point-in-time ratings are more responsive. They suit different uses, and effectiveness must be judged against the purpose.
Self-check: In a downturn, how do through-the-cycle and point-in-time ratings typically behave differently, and what is the trade-off?
Answer: Through-the-cycle ratings change little, absorbing temporary weakness against cycle-average expectations; point-in-time ratings deteriorate quickly with current conditions. The trade-off is stability and lower migration versus timeliness as a current default indicator.
29. Making and changing rating methodologies and criteria
CRAs publish methodologies so users understand how ratings are derived, and they change criteria when markets, instruments, regulation or observed rating performance show the existing approach is inadequate. Changes follow a controlled process: internal development, often public consultation, publication of the new criteria, and mapping or review of existing ratings against the new framework, with transition disclosed.
Example. Assume a CRA's default study shows its criteria systematically assign higher ratings to a new instrument type than realised defaults justify. It drafts revised criteria, consults users publicly for an assumed 60-day comment period, publishes the final criteria, then reviews all affected ratings and announces how many may change as a result.
Watch out. Do not think criteria change to suit commercial wishes or to keep issuers happy. The legitimate motivations are analytical improvement, new market developments and observed performance problems, applied through a transparent, consistent process.
Self-check: Why might a CRA revise its published criteria, and what should follow the revision?
Answer: Because of market or product developments, regulatory change, or backtesting showing the criteria no longer perform well. The CRA should publish the new criteria, map existing ratings to them, and disclose the expected rating transitions transparently.
30. Communicating with users: channels, complaints and rating limitations
CRAs serve many constituencies: investors, issuers, regulators and the public. They foster understanding through published rationales, criteria, default studies, briefings and press releases, while restricting inappropriate communications such as previewing undisclosed rating actions or sharing non-public issuer information. They must explain the basis of a rating, state its limitations clearly, and operate a fair process for handling complaints.
Example. Assume an investor complains that a rating rationale did not explain a downgrade. The CRA reviews the complaint, confirms the published rationale omitted a key leverage driver, and issues a clarified rationale. It also notes in its disclosure that ratings address default risk only, not market price or liquidity risk, communicating the rating's limitations.
Watch out. Do not assume all communication is good. Inappropriate communications, such as tipping a selected client about an upcoming rating action before publication, breach integrity and fair-access principles even if the rating itself is sound.
Self-check: An analyst is asked by a favoured client what rating action will be announced next week. How should the CRA handle this, and why?
Answer: The analyst must not disclose the pending action; previewing undisclosed rating actions is inappropriate communication that gives unfair advantage. All users should receive rating actions simultaneously through public channels, with complaints handled through a fair process.
Topic 4: Corporate Credit Ratings
The corporate analysis toolkit: country, sector and company-specific risks, financial statements and ratios, covenants, benchmarking and country ceilings, project finance as an extension of the corporate paradigm, and emerging market issues including China enterprises.
31. Country, sector and company-specific risks in corporate credit quality
Corporate credit analysis works from the outside in: first the country or operating environment (macroeconomic stability, legal system, currency and transfer risk), then the sector (cyclicality, competition, regulation, technology change), and finally company-specific factors (market position, diversification, financial policy). A weakness at any level can cap the credit quality of even a well-run company. Analysts typically build up an assessment layer by layer rather than looking at the company in isolation.
Example. Assume two identical supermarket chains with the same margins and leverage. Chain A operates in a stable economy with reliable courts; Chain B operates where currency controls could block debt service abroad. Chain B's rating would be constrained by country-level risk even though the business risk is identical.
Watch out. Assuming strong company financials automatically override a weak country or sector environment. Country and sector risks can cap a rating regardless of how healthy the individual issuer looks.
Self-check: A profitable, low-leveraged manufacturer operates in a country with severe transfer-and-convertibility risk. Should its rating be based on financials alone?
Answer: No. Country risk can constrain the rating below what the financials alone would suggest, because the issuer may be unable to convert or transfer funds to service foreign-currency debt.
32. Balance sheet analysis and financial strength
Balance sheet analysis examines leverage, capital structure and asset quality to judge financial strength and flexibility. Key questions are how much debt sits against equity, whether the debt profile matches the assets funded, and whether assets are liquid or of good quality. A strong balance sheet gives an issuer room to absorb shocks without defaulting.
Example. Assume Company X has total assets of 1,000 and total liabilities of 600, so debt-to-capital is 600 / 1,000 = 60%. Its peer average is 40%. X is more leveraged than peers, so an analyst would probe whether its cash flows justify the extra debt before concluding its credit quality is weaker.
Watch out. Taking book equity at face value. Book equity can be distorted by accounting choices, intangibles or off-balance-sheet obligations, so reported leverage may understate true indebtedness.
Self-check: An issuer reports total liabilities of 400 against total assets of 1,600. What is its debt-to-capital ratio, and what does it indicate?
Answer: 400 / 1,600 = 25%. This indicates relatively low leverage, suggesting financial strength, though asset quality and debt maturity should also be checked.
33. Cash flow position and profitability measures
Cash flow, not reported profit, services debt, so analysts focus on cash flow from operations and free cash flow after capital expenditure. Profitability measures such as operating margin and returns on capital show how efficiently the business converts sales into earnings. A company can be profitable on paper yet still struggle if cash conversion is poor or capex absorbs everything.
Example. Assume net income is 50, depreciation and amortisation 30, and working capital absorbs 10. Cash flow from operations = 50 + 30 - 10 = 70. If capital expenditure is 60, free cash flow = 70 - 60 = 10. Only 10 remains for debt service, dividends and reserves, so despite healthy profits, debt repayment capacity is thin.
Watch out. Relying on net income as a proxy for debt service capacity. Accrual profits can diverge sharply from cash generation, especially with aggressive working capital growth or heavy capex.
Self-check: An issuer reports rising profits but free cash flow has been negative for three years. Is this credit-positive?
Answer: No. Negative free cash flow means operations plus capex are consuming cash, so debt service depends on refinancing or new borrowing - a credit concern despite reported profitability.
34. Management capacity and other intangible factors
Beyond the numbers, analysts assess management capacity: strategy credibility, track record, risk appetite, financial policy and governance quality. Intangibles such as brand strength, franchise value and competitive position also support credit quality because they sustain cash flows under stress. These factors are judgemental but can shift a rating within the range implied by the financials.
Example. Assume two regional airlines with identical financial ratios. Airline A's management has consistently hedged fuel and avoided aggressive fleet expansion; Airline B's management has levered up for market share. An analyst would likely rate A higher, because financial policy and discipline are intangible but decisive credit factors.
Watch out. Treating intangibles as unimportant because they cannot be precisely measured. Weak governance or aggressive financial policy frequently precedes credit deterioration before it appears in the ratios.
Self-check: Financial ratios of two issuers are identical, but one has a history of shareholder-friendly, debt-funded special dividends. Which is likely the weaker credit and why?
Answer: The dividend-payer. Its financial policy signals willingness to lever up for shareholders, reducing future financial flexibility - an intangible factor that argues for a lower rating.
35. Bond covenants and investor protection
Covenants are contractual promises in bond documentation that restrict issuer behaviour to protect investors. Affirmative covenants require actions (such as reporting), negative covenants restrict actions (such as asset sales or extra debt), and financial covenants set ratio tests. Covenants can support an issue rating by limiting structural erosion of the bondholder's position, but they complement rather than replace fundamental credit strength.
Example. Assume a bond carries a maintenance covenant requiring debt-to-EBITDA of no more than 3.5x. The issuer's ratio is 3.0x, so headroom is 0.5x. If EBITDA falls, the covenant may force early remediation, giving bondholders protection - but if the business itself collapses, the covenant cannot restore credit quality.
Watch out. Assuming covenants make a weak issuer safe, or that all bonds carry the same protection. Covenant packages vary widely, and strong covenants cannot offset a fundamentally deteriorating business.
Self-check: A covenant requires interest coverage (EBIT/interest) of at least 3.0x. EBIT is 140 and interest is 40. Is the issuer compliant?
Answer: Yes: 140 / 40 = 3.5x, which exceeds the 3.0x requirement, so the issuer complies with modest headroom.
36. Key ratios and industry-specific benchmarks
CRAs use core ratios such as debt-to-EBITDA, EBITDA interest coverage and funds from operations to debt to grade corporate credit strength. Because industries differ in capital intensity, margin structure and cyclicality, ratios are benchmarked against industry-specific peer medians rather than a universal standard. A ratio that is weak for a consumer staple may be normal for a utility or a cyclical miner.
Example. Assume a food retailer has debt of 1,000 and EBITDA of 250, so debt/EBITDA = 1,000 / 250 = 4.0x. If the peer median for stable grocery retailers is 2.5x, the issuer is meaningfully more levered than its benchmark group, suggesting weaker relative credit quality within its sector.
Watch out. Comparing a ratio against a generic standard or against companies in different industries. A 4x leverage ratio means different things in different sectors, so cross-industry comparisons mislead.
Self-check: Issuer A (a utility) and Issuer B (a cyclical miner) both show debt/EBITDA of 3.5x. Should they receive the same relative credit assessment?
Answer: Not necessarily. Each should be compared with its own industry benchmark, since acceptable leverage differs with sector stability, capital intensity and cash flow predictability.
37. Major adjustments to financial statements
Reported accounts often need adjustment before ratios are meaningful. Analysts may capitalise operating leases, add pension deficits and off-balance-sheet obligations to debt, treat hybrid instruments appropriately, and strip out non-recurring items. Adjustments make issuers comparable and prevent accounting presentation from masking true leverage.
Example. Assume reported debt is 800 and EBITDA is 250, giving reported leverage of 800 / 250 = 3.2x. If lease liabilities of 200 are added, adjusted debt = 800 + 200 = 1,000, so adjusted leverage = 1,000 / 250 = 4.0x. The adjustment reveals materially higher true leverage than the reported figure suggests.
Watch out. Computing ratios straight from reported figures without adjustment. Unadjusted leverage can understate indebtedness where leases, pensions or contingent obligations sit outside reported debt.
Self-check: An issuer reports debt of 500, a pension deficit of 100 and EBITDA of 150. What is adjusted leverage after adding the pension deficit to debt?
Answer: Adjusted debt = 500 + 100 = 600; adjusted leverage = 600 / 150 = 4.0x, higher than the unadjusted 500 / 150 = 3.3x.
38. Benchmarking credit quality on a group basis and with market data
CRAs benchmark issuers against peer groups and against aggregate evidence, such as historical default rates by rating category, to keep ratings consistent. Market data - bond yield spreads, credit default swap levels and equity market signals - offers a complementary, real-time read on perceived credit risk. Market signals are inputs and cross-checks, not substitutes for the rating analysis itself.
Example. Assume a rated issuer's five-year bond trades at a spread of 300 basis points over government bonds while similarly rated peers trade at 150 basis points. The gap suggests the market perceives more risk than the rating implies, prompting the analyst to re-examine whether fundamentals or a liquidity premium explain the difference.
Watch out. Treating market spreads as pure default risk. Spreads also embed liquidity, supply-demand and technical factors, and they move point-to-point, so they can mislead if used mechanically.
Self-check: An issuer's CDS level jumps well above its rating peer group. What does this indicate and what should an analyst conclude?
Answer: The market perceives elevated risk relative to peers. It is a warning signal worth investigating, but not by itself proof that the rating is wrong, since market prices include non-credit factors.
39. Country ceiling in corporate ratings
A country ceiling caps the ratings that issuers domiciled in a country can generally receive, reflecting the risk that government action - such as transfer and convertibility restrictions - could prevent even creditworthy issuers from servicing foreign-currency debt. The ceiling is usually anchored at or near the sovereign rating. Local-currency ratings may sit differently because they are not exposed to the same transfer risk.
Example. Assume a country's sovereign foreign-currency rating is BB+ and its country ceiling is BB+. A domestic exporter with strong standalone credit would normally be capped at BB+ on its foreign-currency debt, because its fundamental strength cannot remove the government-level risk of blocked transfers.
Watch out. Assuming a very strong company must be rated above its country's ceiling. The ceiling reflects transfer risk outside the issuer's control, so issuer strength alone cannot lift the rating above it.
Self-check: A blue-chip company in a country with a BB+ sovereign ceiling has standalone credit metrics consistent with A. What rating constraint applies?
Answer: Its foreign-currency rating would generally be capped at the country ceiling of BB+, because sovereign-level transfer and convertibility risk overrides the issuer's own strength.
40. Non-recourse project finance and how it differs from corporate analysis
Project finance funds a single project through a special-purpose vehicle whose debt is repaid only from the project's own cash flows, with limited or no recourse to the sponsors. Credit assessment therefore focuses on project-specific risks - completion, operating performance, offtake contracts and input costs - rather than the sponsor's whole balance sheet. Because lenders lack recourse to a diversified parent, projects typically carry higher risk premiums and depend heavily on contractual protections.
Example. Assume a sponsor builds a power plant through an SPV with non-recourse debt and a 20-year fixed-price offtake contract with a strong utility. The analyst would size debt against the contracted cash flows and completion risk, not the sponsor's balance sheet - a listed company might tolerate more leverage because its whole business stands behind the debt.
Watch out. Assuming the sponsor's credit rating backs the project debt. Under non-recourse structures, lenders can generally look only to the project's assets and cash flows, so sponsor strength alone does not support the rating.
Self-check: Why does a non-recourse project typically pay a higher risk premium than debt of a strong corporate sponsor?
Answer: Because lenders have no claim on the sponsor's other assets; repayment depends solely on one project's cash flows, concentrating completion, operating and offtake risks in a single venture.
41. Rating corporates in emerging economies and China enterprises
Emerging-market corporates add layers of risk: weaker disclosure and data reliability, governance concerns, regulatory and policy unpredictability, and country-level transfer risk. For China enterprises, analysts weigh the strength and durability of government or state-owner support, distinctions between onshore and offshore debt structures, and the creditworthiness of any supporting entity. Support is assessed on the likelihood that it would actually be provided and honoured, not assumed automatically.
Example. Assume a mainland Chinese issuer with solid financials issues offshore bonds through an offshore subsidiary, with the onshore parent providing only a keepwell arrangement rather than a guarantee. An analyst would discount the support, because a keepwell is a weaker promise than a guarantee, and offshore recovery depends on funds reaching the offshore entity.
Watch out. Assuming state ownership guarantees full, timely support, or treating a keepwell as equivalent to a guarantee. The legal strength of the support structure and the supporter's own capacity and willingness must be analysed.
Self-check: A China SOE subsidiary has weak standalone financials but a strong state parent. What should the analyst assess before assigning a rating?
Answer: The likelihood and legal enforceability of parent support, the parent's own financial strength, and whether the debt structure allows support to reach the obligor - rather than relying on standalone financials or ownership alone.
Topic 5: Bank and Non-Bank Financial Institution Credit Ratings
How agencies rate banks and NBFIs: standalone strength versus support, country risk, bank failure factors, the different types of banks, and the rating of insurers, securities firms, asset managers and funds.
42. Bank rating scales, definitions and criteria
Banks are rated on issuer-type scales similar to corporates, using the agency's ordinary long-term and short-term grade definitions of default risk. What makes bank ratings distinct is the criteria: agencies use bank-specific frameworks that build up a view of the bank's own strength and then consider external support. A bank rating is therefore a forward-looking opinion on the bank's capacity and willingness to meet its financial commitments on time.
Example. Suppose Bank A is assigned a hypothetical long-term rating of 'A−' while Bank B receives 'BB'. Under the same scale definitions, the opinion is simply that Bank A is less likely to default than Bank B; the letters do not state expected loss amounts or guarantee repayment.
Watch out. Treating bank rating symbols as having completely different definitions from the agency's normal scale. The symbols follow the same ordinal scale; it is the bank-specific criteria and methodology that differ, not the meaning of the grades themselves.
Self-check: When an agency publishes a bank's long-term rating, does the rating symbol itself carry a special bank-only definition of default risk?
Answer: No. The symbols use the agency's standard scale definitions; what differs for banks is the analytical criteria used to arrive at the rating.
43. Bank standalone assessment
Standalone assessment asks how sound the bank would be without outside help. Agencies examine capital adequacy, asset quality, profitability, funding and liquidity, the business and competitive position, and the economic and regulatory environment. This internal strength view forms the base onto which any support uplift is later added, so understanding it first is essential.
Example. Assume Bank C has equity of 100 and risk-weighted assets of 800, giving a capital ratio of 100/800 = 12.5%. If a hypothetical write-off of 20 of equity occurs, the ratio becomes 80/800 = 10%. Weaker capital and asset quality would pull the standalone profile down even if profitability is stable.
Watch out. Judging a bank on profit alone. A highly profitable bank funded by volatile short-term wholesale money, or with deteriorating loans, can have a weak standalone profile despite good earnings.
Self-check: A bank earns strong profits but relies heavily on short-term wholesale funding. Should its standalone strength automatically be rated high?
Answer: No. Standalone strength weighs capital, asset quality, funding and liquidity together; heavy wholesale funding dependence is a weakness that can offset strong profits.
44. Parent and government support for banks
A bank's final rating may exceed its standalone strength if a strong parent group or the government is likely and able to support it in trouble. Agencies assess the supporter's own creditworthiness, its willingness (based on legal obligations, ownership and reputation at stake), and the bank's importance. The support expectation produces an uplift above the standalone profile.
Example. Assume a hypothetical notch system where each support step lifts the rating one letter-grade step. If Bank D's standalone profile is 'bb' and expected parent support is assessed as two notches of uplift, the support-inclusive rating is 'bb' to 'bb+' to 'bbb−', i.e. 'bbb−', subject to the parent itself being rated at least that strong.
Watch out. Assuming support uplift is automatic because a government-owned bank 'must' be rescued. Agencies assess willingness as well as ability, and support assumptions can change with policy shifts.
Self-check: State one reason support uplift could be reduced even though the parent remains financially strong.
Answer: A fall in the parent's demonstrated willingness to support, such as a changed policy stance or reduced strategic importance of the bank, can reduce or remove the uplift.
45. Support and structural analysis in bank ratings
Structural analysis looks at where in the group you are lending and who stands ahead of you. Debt issued by a holding company may be structurally subordinated to debt at the operating bank, because operating-bank creditors have first claim on the bank's assets. Agencies therefore may rate holding-company debt below operating-company debt, even within the same group.
Example. Suppose Group E contains HoldCo, which owns OpBank. HoldCo's only assets are shares in OpBank. If OpBank fails, creditors of OpBank are paid from OpBank's assets before value flows up to HoldCo creditors. A candidate should expect HoldCo debt to carry a weaker rating than OpBank debt in this hypothetical structure.
Watch out. Assuming all debt of a banking group carries the same credit risk because it shares one brand name. Structural subordination means holding-company obligations can rank behind operating-bank obligations.
Self-check: Why might debt issued by a bank's holding company be rated lower than debt issued by the operating bank?
Answer: Because of structural subordination: operating-bank creditors have the first claim on the bank's assets, so holding-company creditors recover value only after those claims are met.
46. Country risk and the country ceiling for bank ratings
A bank cannot reliably pay foreign-currency debt if its government restricts foreign exchange transfers. Country risk therefore caps the ratings banks in a country can receive on foreign-currency scales: the country ceiling sets the maximum. A strong bank in a weak country may be rated at the ceiling rather than at its standalone-plus-support level.
Example. Assume Bank F's standalone profile plus expected support would indicate 'bbb', but its country's hypothetical foreign-currency ceiling is 'bb+'. The bank's foreign-currency rating is capped at 'bb+', because transfer and convertibility risk overrides the bank's own strength on that scale.
Watch out. Confusing country risk with sovereign default risk only. For banks, the binding constraint is often transfer and convertibility risk — the government's ability or willingness to allow foreign payments — not merely its own default.
Self-check: A bank is very strong and likely to receive government support, but its country ceiling is low. What rating can its foreign-currency debt receive?
Answer: At most the country ceiling; the bank's strong fundamentals and support cannot lift its foreign-currency rating above that cap.
47. Bank failure factors
Bank failures typically combine several recurring weaknesses: rapid credit growth into deteriorating assets, concentrations in one sector or borrower group, heavy reliance on short-term wholesale funding, inadequate capital, weak governance and risk controls, and funding or interest-rate mismatches. Understanding these factors explains why agencies stress asset quality, liquidity and governance in bank criteria.
Example. Assume Bank G grows its loan book 40% in one year while peer growth is 8%, funding the increase with short-term wholesale deposits. Rapid growth plus funding fragility signals that loan underwriting may lag, a classic combination of failure factors an analyst would flag well before losses appear.
Watch out. Treating failure as caused by a single bad year of losses. Most failures build from a mix of aggressive growth, funding fragility and weak controls that interact, which is why criteria assess multiple dimensions together.
Self-check: Name three recurring factors associated with bank failures.
Answer: For example: rapid loan growth with weakening asset quality, heavy short-term wholesale funding dependence, and inadequate capital or weak governance and risk controls.
48. Types of banks: commercial, holding companies, policy banks and multilateral development banks
Different bank types need different rating treatments. Commercial banks are judged on business fundamentals plus any support. Bank holding companies add structural subordination concerns. Government and policy banks are assessed largely on their public-policy mandate and expected government support. Multilateral development banks are weighed on shareholders' collective strength, preferred-creditor status and capital backing.
Example. Assume Policy Bank H lends only to nationally prioritised infrastructure and is wholly state-owned, while Commercial Bank I competes in retail lending. For H, the analysis centres on the state's capacity and willingness to support its mandate; for I, the core is competitive position, asset quality and funding.
Watch out. Applying one identical checklist to every bank type. A policy bank rated purely on commercial profitability, or an MDB assessed like a single-country commercial bank, misses the specific factors each type requires.
Self-check: On what basis are multilateral development banks principally assessed for rating purposes?
Answer: Principally on the collective strength and support of their member shareholders, plus their capital base, preferred-creditor position and governance, rather than ordinary commercial banking fundamentals.
49. NBFI rating scales and the rating of insurers, securities firms, asset managers and funds
Non-bank financial institutions receive ratings tailored to what they do. Insurers may receive financial strength ratings focused on policyholder obligations; securities firms and market makers are judged on capitalisation, trading risk and funding; asset managers are assessed on business stability rather than balance-sheet risk because client assets are segregated. Fund ratings address the credit quality of the fund's holdings, not the manager.
Example. Assume Asset Manager J manages 10 billion of client money but holds only modest capital, while its rated fund K holds a portfolio of 'AA' hypothetical-grade bonds. J's rating reflects the durability of its fee income and controls; K's rating reflects the credit quality of K's bond portfolio. The two ratings answer different questions.
Watch out. Assuming a fund's rating measures the asset manager's creditworthiness, or that a strong manager guarantees a highly rated fund. Fund ratings track the fund's own assets; manager ratings track the manager's business.
Self-check: A highly rated fund is managed by a newly established firm. Is this combination necessarily contradictory?
Answer: No. The fund's rating reflects the credit quality of its holdings, which can be high regardless of the manager's own short operating history or credit standing.
Topic 6: Public Sector Enterprise Credit Ratings
What public sector enterprises are, the debt instruments they issue, the general risk factors behind PSE creditworthiness, and default experience including SOEs and LGFVs in Mainland China and US cases.
50. Defining public sector enterprises across contexts and jurisdictions
A public sector enterprise (PSE) is broadly an entity owned or controlled by a government, but there is no single universal definition. Ownership thresholds, the degree of state control, and the entity's function all affect whether an entity counts as a PSE, so the label can differ between jurisdictions and rating contexts.
Example. Assume City A owns 60% of a water utility and City B owns 45% of a similar utility with board control. Under a rule requiring majority ownership, City A's utility is a PSE; City B's may not be, even though the state clearly controls it.
Watch out. Assuming any government-linked company is automatically a PSE. Definitions vary, so check the ownership/control test used in the relevant jurisdiction or criteria.
Self-check: two cities own utilities at 60% and 45% with control. Why might only one qualify as a PSE?
Answer: Because a majority-ownership threshold would capture the 60% utility but exclude the 45% one, showing definitions are context-specific.
51. Examples of public sector enterprise debt instruments
PSE-related debt covers several distinct instruments: bonds issued by local governments themselves, bonds of state-owned enterprises (SOEs), and bonds of local government financing vehicles (LGFVs) in Mainland China. Each has a different obligor, so each carries a different credit profile and should not be treated as one class of government debt.
Example. Assume a mainland city issues a municipal bond directly, its port SOE issues a corporate-style bond, and its LGFV issues a bond funding roads. These are three separate obligors: the government, the SOE, and the LGFV, each rated on its own credit and support.
Watch out. Treating LGFV bonds as direct local government debt. The LGFV is usually a separate legal entity, so its bonds are not automatically obligations of the local government.
Self-check: which of local government bonds, SOE bonds and LGFV bonds is direct government debt?
Answer: Only the local government bond; SOE and LGFV bonds are obligations of separate enterprises.
52. Revenue sources, business profile, governance and management of PSEs
PSE creditworthiness depends on where revenue comes from and how the business is run. Analysts distinguish commercial revenues earned from customers against policy-driven revenues or mandates imposed by government, and assess whether governance and management can operate efficiently and transparently despite state ownership.
Example. Assume PSE X earns 80% of revenue from paying customers at market prices, while PSE Y earns 80% from below-market government-funded services under policy instructions. On business profile alone, X's cash generation is more predictable, supporting stronger standalone credit.
Watch out. Rating a PSE highly purely because it is state-owned, ignoring weak revenue quality or poor governance that undermines its own debt-servicing capacity.
Self-check: which supports stronger standalone credit — market-based customer revenue or policy-constrained subsidised revenue?
Answer: Market-based customer revenue, because it reflects genuine commercial cash flow rather than policy dependence.
53. Government support and the financial strength of supporting governments
Support analysis asks two questions: how likely is the government to help the PSE if needed, and how able is that government to provide help? Ability depends on the government's own finances, such as its revenue, debt burden and fiscal flexibility. Explicit guarantees carry more weight than assumed implicit support.
Example. Assume Province P has revenue of 100 and debt of 40 (debt/revenue = 40/100 = 40%), while Province Q has revenue of 100 and debt of 90 (90%). If both own identical PSEs, P's stronger balance sheet makes its capacity to support its PSE greater.
Watch out. Reading a PSE rating as automatically equal to the government's rating. Uplift from support is not automatic; it depends on demonstrated linkage and the government's own financial strength.
Self-check: a province with revenue 200 and debt 60 — what is its debt/revenue ratio, and what does it suggest?
Answer: 60/200 = 30%, a relatively low burden, suggesting greater capacity to support its PSEs.
54. Rating criteria for selected PSE debt instruments
Rating agencies commonly assess a PSE in two layers: the entity's standalone creditworthiness from its own financial and business profile, then an adjustment reflecting the likelihood and strength of government support. The final instrument rating also reflects the terms of the specific issue, such as guarantees or structural subordination.
Example. Assume a power SOE is assessed standalone at a moderate credit level. If the government has an explicit guarantee of the bond and strong finances, the issue rating may be adjusted upward; without any guarantee linkage, the instrument would stay near the standalone level.
Watch out. Applying corporate criteria to PSEs unchanged. PSE criteria explicitly incorporate government support as a factor, which ordinary corporate analysis does not weigh the same way.
Self-check: name the two layers in a typical PSE rating assessment.
Answer: Standalone creditworthiness of the entity, then adjustment for the likelihood and strength of government support.
55. PSE default history: SOE and LGFV defaults in Mainland China and US cases
Default history shows that state links do not guarantee repayment. In Mainland China, defaults have occurred among both SOEs and LGFVs, challenging assumptions of implicit government backing. In the United States, public sector entities such as municipalities have also defaulted, showing PSE and sub-sovereign credit risk is real.
Example. Assume an investor buys an LGFV bond believing the city will always pay if the vehicle cannot. An actual default would show that implicit-support assumptions can fail, so support must be evidenced, not presumed.
Watch out. Believing PSE debt is risk-free because of government ownership. Default history in Mainland China and the US demonstrates otherwise.
Self-check: what broad lesson do SOE, LGFV and US public sector defaults teach about government-linked debt?
Answer: Government linkage does not eliminate default risk; support must be explicit and credible to rely upon it.
Topic 7: Structured Finance Credit Ratings
The rise of securitisation, the main transaction structures, how rating structured securities differs from rating corporate bonds, methodological differences between agencies and structure types, and the risks to structured deal performance.
56. Key developments behind the rise of structured finance
Structured finance grew as lenders sought new funding sources and investors sought tailored risk-return profiles. Securitisation let originators convert illiquid loans into tradable securities, expanding credit supply beyond bank balance sheets. Growth in mortgage, consumer and corporate loan pools drove increasingly complex structures.
Example. Assume a bank holds HK$1,000m of auto loans paying 6%. By securitising, it raises HK$950m from investors and frees capital to write new loans, while investors receive the loan cash flows through rated notes.
Watch out. Do not assume securitisation only benefits banks; it also serves investors seeking specific maturity, yield and risk profiles unavailable in plain corporate bonds.
Self-check: Why did structured finance expand so rapidly as a funding technique?
Answer: Because it let originators turn illiquid loan pools into tradable rated securities, diversifying funding sources and giving investors tailored credit exposures.
57. Defining structured finance and securitisation
Securitisation pools income-generating assets and issues securities backed by the cash flows of that pool, typically through a bankruptcy-remote special purpose vehicle. Structured finance is the broader activity of engineering securities whose payment profiles are reshaped from the underlying assets. Credit enhancement reallocates losses among tranches.
Example. Assume a pool of HK$500m mortgages is placed in an SPV. The SPV issues a senior tranche of HK$400m and a subordinate tranche of HK$100m; the subordinate tranche absorbs the first HK$100m of pool losses.
Watch out. Do not describe securitised notes as obligations of the original lender; payment depends on the asset pool, not the originator's balance sheet.
Self-check: What makes a securitised security's credit quality different from a corporate bond's?
Answer: It depends on the performance and cash flows of the underlying asset pool held in an SPV, rather than on an operating company's overall creditworthiness.
58. Types of transaction structures
Common structures include pass-throughs, where pool cash flows flow to investors pro rata, and pay-through structures, where cash flows are redirected by seniority. Asset types include residential and commercial mortgages, consumer receivables, and collateralised debt obligations. Tranching, overcollateralisation and subordination are the basic permutations that shape each deal's risk allocation.
Example. Assume a CDO holds HK$300m of bonds and issues three tranches: senior HK$240m, mezzanine HK$45m, equity HK$15m. If pool losses reach HK$50m, the equity tranche (HK$15m) is wiped out and the mezzanine absorbs HK$35m of its HK$45m.
Watch out. Do not treat all structures as pass-throughs; in pay-through deals, principal and losses are allocated by tranche seniority, so identical pools can produce very different tranche risks.
Self-check: In the example above, how much loss does the senior tranche absorb?
Answer: None. Losses of HK$50m are fully absorbed by the HK$15m equity tranche and HK$35m of the mezzanine tranche, leaving the HK$240m senior tranche intact.
59. Rating structured securities versus rating corporate bonds
Corporate ratings rest on an issuer's financial statements, management and industry position, analysed largely judgementally. Structured ratings instead rely on statistical analysis of the asset pool: default probability, loss severity, correlation and cash-flow modelling under stress. The rating addresses the specific tranche's exposure to pool losses, not an issuer's general creditworthiness.
Example. Assume a pool of 10,000 loans with an assumed 3% default rate and 40% loss severity. Expected loss is 10,000 x 3% x 40% = 120 loans' worth, or 1.2% of pool principal; the model tests whether each tranche survives stressed versions of this loss.
Watch out. Do not assume a structured rating reflects the originator's credit standing; a weak originator's deal can contain strong senior tranches if the pool and enhancement are sound.
Self-check: What is the core analytical difference when rating a structured tranche rather than a corporate bond?
Answer: The analyst models the asset pool's default, loss and cash-flow behaviour under stress to size each tranche's expected loss, instead of assessing an operating issuer's overall financial strength.
60. Methodological differences between agencies and across structural types
Agencies differ in default definitions, loss measures, stress assumptions and how they map expected loss to rating symbols, so identical deals can receive different ratings. Structural types also demand different approaches: mortgage deals stress prepayment and house-price paths, while CDOs emphasise asset correlation. Candidates should compare methodologies conceptually, not memorise one agency's model.
Example. Assume Agency A maps a tranche with 0.5% expected loss to a given symbol using through-the-cycle assumptions, while Agency B uses point-in-time assumptions and assigns a different symbol to the same tranche. The deal is unchanged; only the methodology differs.
Watch out. Do not assume identical ratings across agencies mean identical risk views; differing default definitions and stress inputs can produce different symbols for the same expected loss.
Self-check: Why might two agencies assign different ratings to the same structured tranche?
Answer: Because their methodologies differ in default definitions, stress assumptions, correlation treatment and the mapping of expected loss to rating symbols.
61. Rating performance of structured securities
Rating performance is judged by comparing actual defaults and losses of rated tranches with the expectations implied by their rating symbols, often through backtesting and surveillance. Structured ratings are relative, ordinal opinions, so performance must be assessed tranche by tranche and pool by pool. Poor performance usually reflects flawed assumptions rather than the rating concept itself.
Example. Assume a portfolio of 100 rated structured tranches was expected to suffer 2 defaults over five years. If 8 defaulted, realised performance was four times the expectation, prompting review of the default and correlation assumptions used at issuance.
Watch out. Do not evaluate structured rating performance by counting downgrades alone; the proper test is whether realised losses matched the loss expectations embedded in each rating level.
Self-check: In the example, how did realised defaults compare with expectation?
Answer: Eight defaults occurred against two expected, so realised defaults were four times (8 / 2 = 4x) the assumed level, signalling a performance shortfall.
62. Risks to structured transaction performance
Key risks include model risk from wrong default, correlation or prepayment assumptions, deterioration of the underlying asset pool, and structural risks such as servicer failure or legal defects in the SPV. Overestimating credit quality understates risk to investors, while underestimating it raises funding costs unnecessarily. Balanced, conservative assumptions and ongoing surveillance mitigate both errors.
Example. Assume a mortgage deal assumed 10% of borrowers prepay yearly, but actual prepayment is 2%. Cash flows last longer than modelled, extending exposure to defaults; the senior tranche's true risk exceeds what the original rating implied.
Watch out. Do not focus only on borrower defaults; wrong prepayment, correlation or servicer assumptions can impair performance even when borrowers pay as expected.
Self-check: Why must agencies balance overestimation and underestimation of structured credit quality?
Answer: Overestimation misleads investors about risk and can fuel excessive lending; underestimation needlessly raises issuers' funding costs, so assumptions must be calibrated to avoid both errors.
Topic 8: Sovereign Credit Ratings
Sovereign ratings and their related products, how agencies assess a government's likelihood of default, methodological differences between the NRSROs, and the evidence and limitations on whether sovereign ratings actually work.
63. Sovereign risk versus country risk
Sovereign risk is the risk that a national government defaults on its own debt obligations. Country risk is broader: it covers all risks of doing business or holding assets in a country, including transfer and convertibility risk, political risk and risks facing private borrowers, not just the government. A corporate bond can carry country risk even when the sovereign itself is not expected to default.
Example. Assume Meridian Bank in Hong Kong buys a five-year bond issued by a private company in Country K. Even if Country K's government is highly unlikely to default, the bank still faces country risk: the government might impose capital controls preventing the company from repaying foreign investors. Sovereign risk would only bite if the government itself missed its own debt payments.
Watch out. Using the two terms interchangeably. Sovereign risk is a subset of country risk, so a question describing transfer or political risk affecting private issuers is about country risk, not sovereign default risk.
Self-check: a rating that measures the chance a national government defaults on its own bonds measures which risk, sovereign or country risk?
Answer: Sovereign risk. Country risk is the wider set of risks affecting all debtors and investors in that country, including transfer and political risk.
64. Local-currency versus foreign-currency bond ratings
Sovereigns are usually rated separately for bonds denominated in local currency and in foreign currency. A government can always print its own currency, so a local-currency default is typically driven by a policy choice or extreme inflation, whereas foreign-currency debt needs foreign exchange the government cannot create and must earn, borrow or hold in reserves. Foreign-currency ratings are therefore generally at or below local-currency ratings.
Example. Assume Country V has 200 units of foreign reserves and 500 units of foreign-currency debt falling due, while all its local-currency debt can be serviced in currency it issues itself. The shortage applies only to external obligations, so an agency would weight reserve coverage of foreign-currency debt heavily and would likely rate the foreign-currency bonds no higher than the local-currency bonds.
Watch out. Assuming local-currency ratings are always meaningfully higher. The distinction usually exists, but the gap depends on external strength, and a sovereign can still default or inflate away local-currency debt.
Self-check: why does the currency of denomination matter so much in sovereign ratings?
Answer: Because a government can print local currency but cannot print foreign currency; foreign-currency debt depends on reserves and external access, so it generally carries the equal or lower rating.
65. Municipal and sub-sovereign ratings
Municipal or sub-sovereign ratings assess the debt of governments below the national level, such as provinces, states and cities. These entities cannot print currency and typically rely on local tax revenue and transfers, so agencies commonly benchmark their ratings against the sovereign, treating the sovereign as a ceiling in many methodologies. The analysis also weighs the entity's own fiscal discipline and legal autonomy.
Example. Assume City Z in Country Q has strong budget management and large tax revenues, but Country Q is rated at a speculative-grade level and controls City Z's borrowing approvals. Because City Z depends on the national framework and cannot print money, its rating would likely be anchored near the sovereign rating despite its good local finances.
Watch out. Treating a municipal rating as a sovereign rating. A strong city inside a weak sovereign usually cannot be rated far above its sovereign anchor under typical methodologies.
Self-check: a province is rated below the national government partly because it cannot print currency. Which rating category does this describe?
Answer: A sub-sovereign (municipal) rating, which is generally benchmarked against the sovereign rating and reflects the province's own fiscal strength and legal autonomy.
66. General sovereign rating criteria and determinants of sovereign default
Agencies assess sovereign default risk through broad factors: economic strength (income level, growth, diversification), institutional and governance strength (policy credibility, rule of law), fiscal strength (debt burden, deficits) and external strength (reserves, current account, external debt), plus susceptibility to event risk. Sovereign default can reflect unwillingness as well as inability to pay, which distinguishes it from corporate default analysis.
Example. Assume Country W has debt of 1,200 and GDP of 4,000, giving a debt-to-GDP ratio of 1,200 / 4,000 = 30%. A comparable Country X has debt of 2,400 and GDP of 3,000, i.e. 2,400 / 3,000 = 80%. Holding institutions and external position similar, Country X's heavier debt burden implies weaker fiscal strength and a greater assessed default likelihood.
Watch out. Rating sovereigns as if they were companies. Sovereigns rarely face liquidation, defaults are often political choices, and there is no bankruptcy code governing a nation's debt workout.
Self-check: debt of 3,000 against GDP of 6,000 gives what debt-to-GDP ratio, and which sovereign rating factor does it inform?
Answer: 3,000 / 6,000 = 50%. It informs the fiscal strength factor, one determinant of a sovereign's assessed default risk.
67. Balance sheet versus income-based approaches among the NRSROs
The NRSROs do not assess sovereigns identically. A balance-sheet approach views the sovereign like a balance sheet, emphasising stocks: total government and external debt, assets and net worth relative to the economy. An income-based approach emphasises flows: fiscal balances, growth prospects and the debt dynamics they generate over time. This produces genuine methodological divergence between major agencies.
Example. Assume two agencies assess Country R. Agency A (balance-sheet oriented) stresses that R's total debt equals 60% of GDP and its external assets are thin. Agency B (income-oriented) stresses that R is running a primary surplus and growing at an assumed 4% a year, so the debt ratio should fall. Agency B may assign a higher rating because it weights improving flows more heavily.
Watch out. Assuming all major agencies follow one identical sovereign formula. The syllabus highlights that approaches differ, and rating differences between agencies on the same sovereign are a legitimate examinable point.
Self-check: an agency that focuses mainly on the stock of debt relative to national resources is taking which approach?
Answer: A balance-sheet approach. An income-based approach would instead emphasise fiscal flows, growth and how debt dynamics evolve over time.
68. Sovereign solvency, access to foreign exchange and the payment system
Solvency asks whether a government can service its debt in the long run given its resources and debt burden. Separately, ability to pay in foreign currency depends on access to foreign exchange through exports, reserves, capital inflows or official support. A functioning payment and settlement system is also essential: a sovereign default can disrupt clearing and settlement, turning a fiscal event into a systemic one.
Example. Assume Country T has ample domestic tax revenue (solvent in local currency) but only 90 in reserves against 300 of foreign-currency debt due, assuming no new borrowing. Reserve coverage is 90 / 300 = 30%, leaving a 210 funding gap in foreign exchange. Unless T secures external financing, its capacity to pay foreign-currency obligations, and possibly settle cross-border payments, is in doubt despite overall solvency.
Watch out. Concluding that a solvent sovereign can never default. A liquidity squeeze in foreign exchange, or a deliberate refusal to pay, can still produce default even when long-run solvency looks acceptable.
Self-check: reserves of 120 against foreign-currency debt of 400 give what coverage ratio, and what does it assess?
Answer: 120 / 400 = 30%. It assesses external liquidity, i.e. access to foreign exchange to meet foreign-currency obligations, which is distinct from long-run solvency.
69. Local-currency scale ratings for emerging economies and macroeconomic links
For emerging economies, agencies maintain local-currency rating scales because inflation, currency depreciation and local default dynamics differ sharply from developed markets, so one global comparison would mislead investors. Sovereign ratings also show measurable relationships with macroeconomic variables such as GDP per capita, growth, inflation, external debt and reserve adequacy, and different agencies can disagree on the same sovereign because they weight these factors differently.
Example. Assume two emerging economies, P and Q. P grows at an assumed 2% with inflation of 12% and thin reserves; Q grows at 5% with inflation of 3% and comfortable reserves. On the local-currency scale, Q's stronger macroeconomic profile would support a higher local-currency rating. Agency X might nonetheless rate P above Agency Y's rating of P if X weights institutional reform more than current inflation.
Watch out. Reading emerging-market local-currency ratings as if they sat on the same footing as developed-market ratings, or expecting every agency to assign the same rating to the same sovereign.
Self-check: why do agencies publish separate local-currency scales for emerging economies, and what do sovereign ratings correlate with?
Answer: Because emerging-market inflation and default dynamics differ from developed markets, and sovereign ratings correlate with macroeconomic factors such as growth, inflation, external debt and reserves.
70. Do sovereign ratings work? Crisis prediction and forward-looking indicators
Agencies validate sovereign ratings with default studies showing that average default rates rise as ratings decline, which supports ratings as ordinal, forward-looking indicators of relative risk. However, ratings are not crisis predictors: history includes crises that ratings failed to anticipate, and critics argue ratings sometimes validated market optimism before crises. Candidates should know both the evidence for and the limits of sovereign ratings.
Example. Assume a default study shows that over a long period, sovereigns rated in the highest categories experienced materially fewer defaults than those rated in lower categories. That supports ratings as relative risk graders. Now assume a regional crisis erupts and several highly rated sovereigns deteriorate within a year, with no prior downgrades. That illustrates the known limitation that ratings did not predict the crisis.
Watch out. Claiming sovereign ratings predict crises, or conversely that they are worthless. They work as ordinal, forward-looking indicators of relative default risk, but are not reliable crisis alarms.
Self-check: default studies showing ordered default rates by rating category support what use of sovereign ratings, and what limitation remains?
Answer: They support ratings as forward-looking relative measures of default risk; the limitation is that ratings have failed to predict specific crises and may have validated pre-crisis optimism.
Turn your revision into a study plan
Adjust the pace to your starting knowledge and examination date. These are suggested revision stages, not an official preparation timetable.
| Stage | What to do |
|---|---|
| Stage 1: Orient yourself | Read the official Paper 10 syllabus alongside this guide so you can see how the 70 concepts map onto the eight topics and their learning outcomes. Note the exam format (40 multiple-choice questions, 60 minutes, 70% pass mark) and identify which topics are least familiar to you so you can plan extra time for them. |
| Stage 2: Learn topic by topic | Study the concepts in the official topic order, using your study materials for each concept title in turn. After finishing each topic, close your materials and write down, from memory, what each of that topic's concepts means. Anything you cannot reproduce goes on a revisit list for the next session. |
| Stage 3: Consolidate and connect | Once all eight topics are covered, revise the shaky concepts flagged in Stage 2, then practise linking ideas across topics: for example, how the through-the-cycle versus point-in-time distinction (Topic 3) shows up differently in corporate, structured finance and sovereign ratings. Attempt practice questions under timed conditions to build speed for the 60-minute limit. |
| Stage 4: Final review and exam readiness | In the final stretch, run through all 70 concepts as a rapid checklist, spending time only where your recall is weak. Re-read the syllabus learning outcomes and confirm you can address each one. Finish with at least one full timed mock, then rest properly before the exam so you walk in fresh. |
Questions candidates ask
What is the format of the HKSI Paper 10 exam?
Paper 10 consists of 40 multiple-choice questions to be completed in 60 minutes, and the pass mark is 70%. That means you have roughly 90 seconds per question, so practising under timed conditions is well worth building into your plan.
Which version of the study materials should I be revising from?
Always revise from the version of the study guide that the current exam is set on. Paper 10 follows the syllabus effective from 4 September 2025, and the official Paper 10 eStudy Guide is currently version 3.1 (published July 2025). Check the HKSI Institute's 'Updating Your Study Guides' notices before you buy or borrow materials, because an out-of-date guide can cover methodologies or market details that have since changed, and exam questions are set on the latest current version of the official Study Guide.
Do I need a credit or fixed income background to pass Paper 10?
No, but the paper assumes you can pick up the fundamentals. Topic 1 exists precisely to build them: what credit is, how debt differs from equity, and how credit risk is analysed. If you are new to the field, give yourself extra time in Stage 2 of the study plan and make sure you are genuinely comfortable with Topic 1 before moving on, since later topics assume it.
Are some topics more important than others?
The syllabus does not publish question weightings, so the safe approach is to treat every topic as examinable and cover all eight. What you can do is notice breadth: topics with more concepts in this guide, such as the rating process and corporate ratings, cover more distinct learning outcomes, so there is simply more ground to know there. Complete coverage beats guesswork about emphasis.
How should I use the 70 concept titles in the last week before the exam?
Turn them into a rapid self-test. Go through the list and, for each concept, give a one- or two-sentence explanation aloud or on paper without looking at your notes. Mark any concept where you hesitate, then revise only those. Repeat the pass daily; by exam day the list should feel like a map of familiar territory rather than a pile of unread notes.
Official sources and further reading
- HKSI Paper 10 syllabus and learning outcomes (PDF)
- HKSI current study guide versions and effective dates
- HKSI examination format and study resources
- SFC Code of Conduct for Persons Providing Credit Rating Services
- SFC: Types of intermediary and licensed individual
These independent revision notes explain the public syllabus through original examples. They do not reproduce the official study guide or examination questions. Use the official study guide valid for your examination date for the full examinable detail. HKSIDataBase is an independent provider and is not endorsed by the HKSI Institute.