Actuarial Notes

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