Fixed Income Securities: Valuation, Risk, and Risk Management
By Pietro Veronesi · Wiley · 2010
Study guide: Exam CP-351
A textbook on the forces that affect the valuation, risk and return of fixed income securities and their derivatives, published by Wiley in January 2010. Its publisher describes it as a thorough discussion of these complex securities, the forces affecting their prices, their risks and the appropriate risk management practices, and as providing a methodology rather than a shopping list: examples and methodologies that can be applied quite universally once the basic concepts are understood.
On the syllabus
- Exam CP-351 — Chapter 5, Interest Rate Derivatives: Forwards and Swaps, and Chapter 6, Interest Rate Derivatives: Futures and Options; outcome 3f.
Preface
Acknowledgments
Part I Basics
1 An Introduction to Fixed Income Markets
- 1.1 Introduction
- 1.1.1 The Complexity of Fixed Income Markets
- 1.1.2 No Arbitrage and the Law of One Price
- 1.2 The Government Debt Markets
- 1.2.1 Zero Coupon Bonds
- 1.2.2 Floating Rate Coupon Bonds
- 1.2.3 The Municipal Debt Market
- 1.3 The Money Market
- 1.3.1 Federal Funds Rate
- 1.3.2 Eurodollar Rate
- 1.3.3 LIBOR
- 1.4 The Repo Market
- 1.4.1 General Collateral Rate and Special Repos
- 1.4.2 What if the T-bond Is Not Delivered?
- 1.5 The Mortgage Backed Securities Market and Asset-Backed Securities Market
- 1.6 The Derivatives Market
- 1.6.1 Swaps
- 1.6.2 Futures and Forwards
- 1.6.3 Options
- 1.7 Roadmap of Future Chapters
- 1.8 Summary
2 Basics of Fixed Income Securities
- 2.1 Discount Factors
- 2.1.1 Discount Factors across Maturities
- 2.1.2 Discount Factors over Time
- 2.2 Interest Rates
- 2.2.1 Discount Factors, Interest Rates, and Compounding Frequencies
- 2.2.2 The Relation between Discounts Factors and Interest Rates
- 2.3 The Term Structure of Interest Rates
- 2.3.1 The Term Structure of Interest Rates over Time
- 2.4 Coupon Bonds
- 2.4.1 From Zero Coupon Bonds to Coupon Bonds
- 2.4.2 From Coupon Bonds to Zero Coupon Bonds
- 2.4.3 Expected Return and the Yield to Maturity
- 2.4.4 Quoting Conventions
- 2.5 Floating Rate Bonds
- 2.5.1 The Pricing of Floating Rate Bonds
- 2.5.2 Complications
- 2.6 Summary
- 2.7 Exercises
- 2.8 Case Study: Orange County Inverse Floaters
- 2.8.1 Decomposing Inverse Floaters into a Portfolio of Basic Securities
- 2.8.2 Calculating the Term Structure of Interest Rates from Coupon Bonds
- 2.8.3 Calculating the Price of the Inverse Floater
- 2.8.4 Leveraged Inverse Floaters
- 2.9 Appendix: Extracting the Discount Factors Z(0, T) from Coupon Bonds
- 2.9.1 Bootstrap Again
- 2.9.2 Regressions
- 2.9.3 Curve Fitting
- 2.9.4 Curve Fitting with Splines
3 Basics of Interest Rate Risk Management
- 3.1 The Variation in Interest Rates
- 3.1.1 The Savings and Loan Debacle
- 3.1.2 The Bankruptcy of Orange County
- 3.2 Duration
- 3.2.1 Duration of a Zero Coupon Bond
- 3.2.2 Duration of a Portfolio
- 3.2.3 Duration of a Coupon Bond
- 3.2.4 Duration and Average Time of Cash Flow Payments
- 3.2.5 Properties of Duration
- 3.2.6 Traditional Definitions of Duration
- 3.2.7 The Duration of Zero Investment Portfolios: Dollar Duration
- 3.2.8 Duration and Value-at-Risk
- 3.2.9 Duration and Expected Shortfall
- 3.3 Interest Rate Risk Management
- 3.3.1 Cash Flow Matching and Immunization
- 3.3.2 Immunization versus Simpler Investment Strategies
- 3.3.3 Why Does the Immunization Strategy Work?
- 3.4 Asset-Liability Management
- 3.5 Summary
- 3.6 Exercises
- 3.7 Case Study: The 1994 Bankruptcy of Orange County
- 3.7.1 Benchmark: What if Orange County was Invested in Zero Coupon Bonds Only?
- 3.7.2 The Risk in Leverage
- 3.7.3 The Risk in Inverse Floaters
- 3.7.4 The Risk in Leveraged Inverse Floaters
- 3.7.5 What Can We Infer about the Orange County Portfolio?
- 3.7.6 Conclusion
- 3.8 Case Analysis: The Ex-Ante Risk in Orange County’s Portfolio
- 3.8.1 The Importance of the Sampling Period
- 3.8.2 Conclusion
- 3.9 Appendix: Expected Shortfall under the Normal Distribution
4 Basic Refinements in Interest Rate Risk Management
- 4.1 Convexity
- 4.1.1 The Convexity of Zero Coupon Bonds
- 4.1.2 The Convexity of a Portfolio of Securities
- 4.1.3 The Convexity of a Coupon Bond
- 4.1.4 Positive Convexity: Good News for Average Returns
- 4.1.5 A Common Pitfall
- 4.1.6 Convexity and Risk Management
- 4.1.7 Convexity Trading and the Passage of Time
- 4.2 Slope and Curvature
- 4.2.1 Implications for Risk Management
- 4.2.2 Factor Models and Factor Neutrality
- 4.2.3 Factor Duration
- 4.2.4 Factor Neutrality
- 4.2.5 Estimation of the Factor Model
- 4.3 Summary
- 4.4 Exercises
- 4.5 Case Study: Factor Structure in Orange County’s Portfolio
- 4.5.1 Factor Estimation
- 4.5.2 Factor Duration of the Orange County Portfolio
- 4.5.3 The Value-at-Risk of the Orange County Portfolio with Multiple Factors
- 4.6 Appendix: Principal Component Analysis
- 4.6.1 Benefits from PCA
- 4.6.2 The Implementation of PCA
5 Interest Rate Derivatives: Forwards and Swaps
- 5.1 Forward Rates and Forward Discount Factors
- 5.1.1 Forward Rates by No Arbitrage
- 5.1.2 The Forward Curve
- 5.1.3 Extracting the Spot Rate Curve from Forward Rates
- 5.2 Forward Rate Agreements
- 5.2.1 The Value of a Forward Rate Agreement
- 5.3 Forward Contracts
- 5.3.1 A No Arbitrage Argument
- 5.3.2 Forward Contracts on Treasury Bonds
- 5.3.3 The Value of a Forward Contract
- 5.4 Interest Rate Swaps
- 5.4.1 The Value of a Swap
- 5.4.2 The Swap Rate
- 5.4.3 The Swap Curve
- 5.4.4 The LIBOR Yield Curve and the Swap Spread
- 5.4.5 The Forward Swap Contract and the Forward Swap Rate
- 5.4.6 Payment Frequency and Day Count Conventions
- 5.5 Interest Rate Risk Management using Derivative Securities
- 5.6 Summary
- 5.7 Exercises
- 5.8 Case Study: PiVe Capital Swap Spread Trades
- 5.8.1 Setting Up the Trade
- 5.8.2 The Quarterly Cash Flow
- 5.8.3 Unwinding the Position?
- 5.8.4 Conclusion
6 Interest Rate Derivatives: Futures and Options
- 6.1 Interest Rate Futures
- 6.1.1 Standardization
- 6.1.2 Margins and Mark-to-Market
- 6.1.3 The Convergence Property of Futures Prices
- 6.1.4 Futures versus Forwards
- 6.1.5 Hedging with Futures or Forwards?
- 6.2 Options
- 6.2.1 Options as Insurance Contracts
- 6.2.2 Option Strategies
- 6.2.3 Put-Call Parity
- 6.2.4 Hedging with Futures or with Options?
- 6.3 Summary
- 6.4 Exercises
- 6.5 Appendix: Liquidity and the LIBOR Curve
7 Inflation, Monetary Policy, and the Federal Funds Rate
- 7.1 The Federal Reserve
- 7.1.1 Monetary Policy, Economic Growth, and Inflation
- 7.1.2 The Tools of Monetary Policy
- 7.1.3 The Federal Funds Rate
- 7.2 Predicting the Future Fed Funds Rate
- 7.2.1 Fed Funds Rate, Inflation and Employment Growth
- 7.2.2 Long-Term Fed Funds Rate Forecasts
- 7.2.3 Fed Funds Rate Predictions Using Fed Funds Futures
- 7.3 Understanding the Term Structure of Interest Rates
- 7.3.1 Why Does the Term Structure Slope up in Average?
- 7.3.2 The Expectation Hypothesis
- 7.3.3 Predicting Excess Returns
- 7.3.4 Conclusion
- 7.4 Coping with Inflation Risk: Treasury Inflation-Protected Securities
- 7.4.1 TIPS Mechanics
- 7.4.2 Real Bonds and the Real Term Structure of Interest Rates
- 7.4.3 Real Bonds and TIPS
- 7.4.4 Fitting the Real Yield Curve
- 7.4.5 The Relation between Nominal and Real Rates
- 7.5 Summary
- 7.6 Exercises
- 7.7 Case Study: Monetary Policy during the Subprime Crisis of 2007 - 2008
- 7.7.1 Problems on the Horizon
- 7.7.2 August 17, 2007: Fed Lowers the Discount Rate
- 7.7.3 September - December 2007: The Fed Decreases Rates and Starts TAF
- 7.7.4 January 2008: The Fed Cuts the Fed Funds Target and Discount Rates
- 7.7.5 March 2008: Bearn Stearns Collapses and the Fed Bolsters Liquidity Support to Primary Dealers
- 7.7.6 September – October 2008: Fannie Mae, Freddie Mac, Lehman Brothers, and AIG Collapse
- 7.8 Appendix: Derivation of Expected Return Relation
8 Basics of Residential Mortgage Backed Securities
- 8.1 Securitization
- 8.1.1 The Main Players in the RMBS Market
- 8.1.2 Private Labels and the 2007 - 2009 Credit Crisis
- 8.1.3 Default Risk and Prepayment in Agency RMBSs
- 8.2 Mortgages and the Prepayment Option
- 8.2.1 The Risk in the Prepayment Option
- 8.2.2 Mortgage Prepayment
- 8.3 Mortgage Backed Securities
- 8.3.1 Measures of Prepayment Speed
- 8.3.2 Pass-Through Securities
- 8.3.3 The Effective Duration of Pass-Through Securities
- 8.3.4 The Negative Effective Convexity of Pass-Through Securities 302 8.3.5 The TBA Market
- 8.4 Collateralized Mortgage Obligations
- 8.4.1 CMO Sequential Structure
- 8.4.2 CMO Planned Amortization Class (PAC)
- 8.4.3 Interest Only and Principal Only Strips.
- 8.5 Summary
- 8.6 Exercises
- 8.7 Case Study. PiVe Investment Group and the Hedging of Pass-Through Securities
- 8.7.1 Three Measures of Duration and Convexity
- 8.7.2 PSA-Adjusted Effective Duration and Convexity
- 8.7.3 Empirical Estimate of Duration and Convexity
- 8.7.4 The Hedge Ratio
- 8.8 Appendix: Effective Convexity
Part II Term Structure Models: Trees
9 One Step Binomial Trees
- 9.1 A one-step interest rate binomial tree
- 9.1.1 Continuous Compounding
- 9.1.2 The Binomial Tree for a Two-Period Zero Coupon Bond
- 9.2 No Arbitrage on a Binomial Tree
- 9.2.1 The Replicating Portfolio Via No Arbitrage
- 9.2.2 Where Is the Probability p?
- 9.3 Derivative Pricing as Present Discounted Values of Future Cash Flows
- 9.3.1 Risk Premia in Interest Rate Securities
- 9.3.2 The Market Price of Interest Rate Risk
- 9.3.3 An Interest Rate Security Pricing Formula
- 9.3.4 What If We Do Not Know p?
- 9.4 Risk Neutral Pricing
- 9.4.1 Risk Neutral Probability
- 9.4.2 The Price of Interest Rate Securities
- 9.4.3 Risk Neutral Pricing and Dynamic Replication
- 9.4.4 Risk Neutral Expectation of Future Interest Rates
- 9.5 Summary
- 9.6 Exercises
10 Multi-Step Binomial Trees
- 10.1 A Two-Step Binomial Tree
- 10.2 Risk Neutral Pricing
- 10.2.1 Risk Neutral Pricing by Backward Induction
- 10.2.2 Dynamic Replication
- 10.3 Matching the Term Structure
- 10.4 Multi-step Trees
- 10.4.1 Building a Binomial Tree from Expected Future Rates
- 10.4.2 Risk Neutral Pricing
- 10.5 Pricing and Risk Assessment: The Spot Rate Duration
- 10.6 Summary
- 10.7 Exercises
11 Risk Neutral Trees and Derivative Pricing
- 11.1 Risk Neutral Trees
- 11.1.1 The Ho-Lee Model
- 11.1.2 The Simple Black, Derman, and Toy (BDT) Model
- 11.1.3 Comparison of the Two Models
- 11.1.4 Risk Neutral Trees and Future Interest Rates
- 11.2 Using Risk Neutral Trees
- 11.2.1 Intermediate Cash Flows
- 11.2.2 Caps and Floors
- 11.2.3 Swaps
- 11.2.4 Swaptions
- 11.3 Implied Volatilities and the Black, Derman, and Toy Model
- 11.3.1 Flat and Forward Implied Volatility
- 11.3.2 Forward Volatility and the Black, Derman, and Toy Model
- 11.4 Risk Neutral Trees for Futures Prices
- 11.4.1 Eurodollar Futures
- 11.4.2 T-Note and T-Bond Futures
- 11.5 Implied Trees: Final Remarks
- 11.6 Summary
- 11.7 Exercises
12 American Options
- 12.1 Callable Bonds
- 12.1.1 An Application to U.S. Treasury Bonds
- 12.1.2 The Negative Convexity in Callable Bonds
- 12.1.3 The Option Adjusted Spread
- 12.1.4 Dynamic Replication of Callable Bonds
- 12.2 American Swaptions
- 12.3 Mortgages and Residential Mortgage Backed Securities
- 12.3.1 Mortgages and the Prepayment Option
- 12.3.2 The Pricing of Residential Mortgage Backed Securities
- 12.3.3 The Spot Rate Duration of MBS
- 12.4 Summary
- 12.5 Exercises
13 Monte Carlo Simulations on Trees
- 13.1 Monte Carlo Simulations on a One-step Binomial Tree
- 13.2 Monte Carlo Simulations on a Two-step Binomial Tree
- 13.2.1 Example: Non-Recombining Trees in Asian Interest Rate Options
- 13.2.2 Monte Carlo Simulations for Asian Interest Rate Options
- 13.3 Monte Carlo Simulations on Multi-step Binomial Trees
- 13.3.1 Does This Procedure Work?
- 13.3.2 Illustrative Example: Long-Term Interest Rate Options
- 13.3.3 How Many Simulations are Enough?
- 13.4 Pricing Path Dependent Options
- 13.4.1 Illustrative Example: Long-Term Asian Options
- 13.4.2 Case Study: Banc One AIRS
- 13.5 Spot Rate Duration by Monte Carlo Simulations
- 13.6 Pricing Residential Mortgage Backed Securities
- 13.6.1 Simulating the Prepayment Decision
- 13.6.2 Additional Factors Affecting the Prepayment Decision
- 13.6.3 Residential Mortgage Backed Securities
- 13.6.4 Prepayment Models
- 13.7 Summary
- 13.8 Exercises
Part III Term Structure Models: Continuous Time
14 Interest Rate Models in Continuous Time
- 14.1 Brownian Motions
- 14.1.1 Properties of the Brownian Motion
- 14.1.2 Notation
- 14.2 Differential Equations
- 14.3 Continuous Time Stochastic Processes
- 14.4 Ito’s Lemma
- 14.5 Illustrative Examples
- 14.6 Summary
- 14.7 Exercises
- 14.8 Appendix: Rules of Stochastic Calculus
15 No Arbitrage and the Pricing of Interest Rate Securities
- 15.1 Bond Pricing with Deterministic Interest Rate
- 15.2 Interest Rate Security Pricing in the Vasicek Model
- 15.2.1 The Long / Short Portfolio
- 15.2.2 The Fundamental Pricing Equation
- 15.2.3 The Vasicek Bond Pricing Formula
- 15.2.4 Parameter Estimation
- 15.3 Derivative Security Pricing
- 15.3.1 Zero Coupon Bond Options
- 15.3.2 Options on Coupon Bonds
- 15.3.3 The Three Steps to Derivative Pricing
- 15.4 No Arbitrage Pricing in a General Interest Rate Model
- 15.4.1 The Cox, Ingersoll, and Ross Model
- 15.4.2 Bond Prices under the Cox, Ingersoll, and Ross Model
- 15.5 Summary
- 15.6 Exercises
- 15.7 Appendix: Derivations
- 15.7.1 Derivation of the Pricing Formula in Equation 15.4
- 15.7.2 The Derivation of the Vasicek Pricing Formula
- 15.7.3 The CIR Model
16 Dynamic Hedging and Relative Value Trades
- 16.1 The Replicating Portfolio
- 16.2 Rebalancing
- 16.3 Application 1: Relative Value Trades on the Yield Curve
- 16.3.1 Relative Pricing Errors Discovery
- 16.3.2 Setting Up the Arbitrage Trade
- 16.4 Application 2: Hedging Derivative Exposure
- 16.4.1 Hedging and Dynamic Replication
- 16.4.2 Trading on MisPricing and Relative Value Trades
- 16.5 The Theta - Gamma Relation
- 16.6 Summary
- 16.7 Exercises
- 16.8 Case Study: Relative Value Trades on the Yield Curve
- 16.8.1 Finding the Relative Value Trade
- 16.8.2 Setting Up the Trade
- 16.8.3 Does It Work? Simulations
- 16.8.4 Does It Work? Data
- 16.8.5 Conclusion
- 16.9 Appendix: Derivation of Delta for Call Options
17 Risk Neutral Pricing and Monte Carlo Simulations
- 17.1 Risk Neutral Pricing
- 17.2 Feynman-Kac Theorem
- 17.3 Application of Risk Neutral Pricing: Monte Carlo Simulations
- 17.3.1 Simulating a Diffusion Process
- 17.3.2 Simulating the Payoff
- 17.3.3 Standard Errors
- 17.4 Example: Pricing a Range Floater
- 17.5 Hedging with Monte Carlo Simulations
- 17.6 Convexity by Monte Carlo Simulations
- 17.7 Summary
- 17.8 Exercises
- 17.9 Case Study: Procter & Gamble / Bankers Trust Leveraged Swap
- 17.9.1 Parameter Estimates
- 17.9.2 Pricing by Monte Carlo Simulations
18 The Risk and Return of Interest Rate Securities
- 18.1 Expected Return and the Market Price Risk
- 18.1.1 The Market Price of Risk in a General Interest Rate Model
- 18.2 Risk Analysis: Risk Natural Monte Carlo Simulations
- 18.2.1 Delta Approximation Errors
- 18.3 A Macroeconomic Model of the Term Structure
- 18.3.1 Market Participants
- 18.3.2 Equilibrium Nominal Bond Prices
- 18.3.3 Conclusion
- 18.4 Case Analysis: The Risk in the P&G Leveraged Swap
- 18.5 Summary
- 18.6 Exercises
- 18.7 Appendix: Proof of Pricing Formula in Macroeconomic Model
19 No Arbitrage Models and Standard Derivatives
- 19.1 No Arbitrage Models
- 19.2 The Ho-Lee Model Revisited
- 19.2.1 Consistent Derivative Pricing
- 19.2.2 The Term Structure of Volatility in the Ho-Lee Model
- 19.3 The Hull-White Model
- 19.3.1 The Option Price
- 19.4 Standard Derivatives under the “Normal” Model
- 19.4.1 Options on Coupon Bonds
- 19.4.2 Caps and Floors
- 19.4.3 Caps and Floors Implied Volatility
- 19.4.4 European Swaptions
- 19.4.5 Swaptions’ Implied Volatility
- 19.5 The “Lognormal” Model
- 19.5.1 The Black, Derman, and Toy Model
- 19.5.2 The Black and Karasinski Model
- 19.6 Generalized Affine Term Structure Models
- 19.7 Summary
- 19.8 Exercises
- 19.9 Appendix: Proofs
- 19.9.1 Proof of the Ho-Lee Pricing Formula
- 19.9.2 Proof of the Expression in Equation 19.13
- 19.9.3 Proof of the Hull-White Pricing Formula
- 19.9.4 Proof of the Expression in Equation 19.28
- 19.9.5 Proof of the Expressions in Equations 19.41 and 19.42
20 The Market Model for Standard Derivatives
- 20.1 The Black Formula for Caps and Floors Pricing
- 20.1.1 Flat and Forward Volatilities
- 20.1.2 Extracting Forward Volatilities from Flat Volatilities
- 20.1.3 The Behavior of the Implied Forward Volatility
- 20.1.4 Forward Volatilities and the Black, Derman, and Toy Model
- 20.2 The Black Formula for Swaption Pricing
- 20.3 Summary
- 20.4 Exercises
21 Forward Risk Neutral Pricing and the LIBOR Market Model
- 21.1 One Difficulty with Risk Neutral Pricing
- 21.2 Change of Numeraire and the Forward Risk Neutral Dynamics
- 21.2.1 Two Important Results
- 21.2.2 Generalizations
- 21.3 The Option Pricing Formula in “Normal” Models
- 21.4 The LIBOR Market Model
- 21.4.1 The Black Formula for Caps and Floors
- 21.4.2 Valuing Fixed Income Securities that Depend on a Single LIBOR rate
- 21.4.3 The LIBOR Market Model for More Complex Securities
- 21.4.4 Extracting the Volatility of Forward Rates from Caplets’ Forward Volatilities
- 21.4.5 Pricing Fixed Income Securities by Monte Carlo Simulations
- 21.5 Forward Risk Neutral Pricing and the Black Formula for Swaptions
- 21.5.1 Remarks: Forward Risk Neutral Pricing and No Arbitrage
- 21.6 The Heath, Jarrow, and Morton Framework
- 21.6.1 Futures and Forwards
- 21.7 Unnatural Lag and Convexity Adjustment
- 21.7.1 Unnatural Lag and Convexity
- 21.7.2 A Convexity Adjustment
- 21.8 Summary
- 21.9 Exercises
- 21.10 Appendix: Derivations
- 21.10.1 Derivation of the Partial Differential Equation in the Forward Risk Neutral Dynamics
- 21.10.2 Derivation of the Call Option Pricing Formula (Equation 21.11)
- 21.10.3 Derivation of the Formula in Equation 21.27 and 21.31
- 21.10.4 Derivation of the Formula in Equation 21.21
- 21.10.5 Derivation of the Formula in Equation 21.37
22 Multifactor Models
- 22.1 Multifactor Ito’s Lemma with Independent Factors
- 22.2 No Arbitrage with Independent Factors
- 22.2.1 A Two-Factor Vasicek Model
- 22.2.2 A Dynamic Model for the Short and Long Yield
- 22.2.3 Long-Term Spot Rate Volatility
- 22.2.4 Options on Zero Coupon Bonds
- 22.3 Correlated Factors
- 22.3.1 The Two-Factor Vasicek Model with Correlated Factors
- 22.3.2 Zero Coupon Bond Options
- 22.3.3 The Two-Factor Hull and White Model
- 22.4 The Feynman-Kac Theorem
- 22.4.1 Application: Yield Curve Steepener
- 22.4.2 Simulating Correlated Brownian Motions
- 22.5 Forward Risk Neutral Pricing
- 22.5.1 Application: Options on Coupon Bonds
- 22.6 The Multifactor LIBOR Market Model
- 22.6.1 Level, Slope and Curvature Factors for Forward Rates
- 22.7 Affine and Quadratic Term Structure Models
- 22.7.1 Affine Models
- 22.7.2 Quadratic Models
- 22.8 Summary
- 22.9 Exercises
- 22.10 Appendix
- 22.10.1 The Coefficients of the Joint Process for Short- and Long- Term Rates
- 22.10.2 The Two-Factor Hull-White Model
References
Index
Sources
- Fixed Income Securities: Valuation, Risk, and Risk Management, 1st Edition (Wiley) — the title, author, January 2010 publication, the hardcover ISBN 978-0-470-10910-6 and the description for the lead
- Fixed Income Securities, front matter and Chapters 1-3 (Wiley excerpt) — the table of contents, with every chapter, section and subsection title and number; the excerpt is a pre-publication proof whose title page reads "Valuation, Risk and Risk Management" and carries a 2011 copyright line, so the chapter titles follow the publisher's own list on its product page, and the printed typographical errors in section titles are kept as printed
- CP 351 Introductory Study Note, Nov 2026/Mar 2027/Jul 2027 (SOA) — the full title as the SOA gives it and the publisher, John Wiley & Sons
- CP 351 Syllabus, Nov 2026/Mar 2027/Jul 2027 (SOA) — the year and the chapters assigned, with their learning outcome