Golub & Tillman: Risk-Management - Approaches for Fixed Income Markets

Escrito por dos analistas senior de las divisiones de gerenciamiento global de dinero y consultoría de riesgo del grupo "BlackRock", este libro utiliza una mezcla intrigante de economía, finanzas, matemáticas para generar técnicas de avanzada en finanzas para gerenciar el riesgo en mercados de activos de rendimiento fijo.  

Nuestra calificación: ****

Dificultad matemática: ***

 

 

Capítulos:

 

 

CHAPTER I: THE ART AND SCIENCE OF RISK MANAGEMENT

 

1.1. The "Brave New World" of Risk Management

1.2 Market Risk Management Process

1.3 Theory, Practice, and Computation: Challenges Specific to

Fixed Income Markets

1.3.1 Price Discovery

1.3.2 Dynamic Portfolio Characteristics

1.3.3 New Securities, New Structures, and the Absence of Historical Information

1.4 Statistical Challenges: Risk Management versus Valuation

1.5 Evolution of Risk Management Ideas

 

CHAPTER 2: PARAMETRIC APPROACHES TO RISK MANAGEMENT

 

2.1 Introduction

2.2 Measuring Interest Rate Exposure: Analytical Approaches

2.2.1 Macaulay and Modified Duration, and Convexity

2.2.3 Dynamic Nature of Local Risk Measures: Duration and Convexity Drift

2.2.4  Scenario Analysis

2.3 Measuring Interest Rate Exposure: Empirical Approaches

2.3.1 Coupon Curve Duration

2.3.2 OAS Curve Duration

2.3.3 Empirical (Implied) Duration

2.4 Measuring Yield Curve Risk

2.4.1 Key Rate Durations

2.4.2 Key Treasury Rate Durations

2.4.3 Yield Curve Reshaping Durations

2.5 Measuring Basis Risks

2.5.1Volatility Duration

2.5.2 Spread Duration

2.6 Measuring Mortgage-Related Risks

2.6.1   Prepayment Duration

2.6.2 MortgagelTreasury Basis Duration

2.7 Measuring Impact of Time

 

CHAPTER 3 MODELING YIELD CURVE DYNAMICS

 

3.1 Probability Distributions of Systematic Risk Factors

3.2 Principal Components Analysis: Theory and Applications

3.2.1 Introduction

3.2.2 Principal Components Analysis

3.2.3 The First Principal Component and the Term Structure of Volatility

3.2.4 Example: Historical Steepeners and Flatteners of the U.S. Treasury Curve

3.3 Probability Distributions of Interest Rate Shocks

3.4 Historical Plausibility of Interest Rate Shocks

3.4.1 Explanatory Power

3.4.2Magnitude Plausibility

3.4.3 Shape Plausibility

3.4.4 Example: An Extreme Market Move During the 1998 Crisis

 

CHAPTER 4 MEASURING INTEREST RATE, BASIS, AND CURRENCY RISKS

 

4.1 Deterministic versus Probabilistic Risk Methodologies

4.1.1Introduction

4.1.2Value-at-Risk

4.2.2 Principal Components Durations, Key Rate Durations, and Value‑at‑Risk

4.2.3 Effective Risk Profile and Other Practical Applications

4.2.4 Application: Managing a Large Number of Portfolios Against Different Benchmarks

4.3 Measuring Nondollar Interest Rate, Basis, and Currency Risks

4.3.1 Global Variance/Covariance Value‑at‑Risk

4.3.2 Non-Dollar Interest Rate Risks

4.3.3 Foreign Currency Risks

4.3.4 Overview of Systematic Basis Risks

4.3.5 Implied Volatility Risks

4.3.6 Mortgage Basis Risks

4.3.7 Credit Spread Risks

4.3.8 Applications of VaR to Portfolio and Risk Management

4.4 Risk Decomposition

4.5 Generic Basis Risks and Their Interest Rate Directionality

4.5.1 Swap Spread Duration

4.5.2 Generalized Duration

 

CHAPTER 5: VALUE-AT-RISK METHODOLOGICAL TRADE-OFFS

5.1 General Formulation of Value-at-Risk

5.2 Traditional VaR Trade-off: Nonlinearity versus

Computational Time

5.3 Additional Trade-off Dimension: Nonlinearity versus

Distribution of Risk Factors

5.3.1 Traditional and Principal Components Scenario Analysis

5.3.2 Grid Monte-Carlo Simulation VaR

5.3.3 Example: Measuring Risk of Duration-Neutral Yield Curve Bets

5.3.4 Incorporating Evolution of Securities through Time into VaR

5.3.5 Dimensionality Reduction Tool: Principal Components in Return Space

5.4 Incorporating Nonlinearity Into Global Value-at-Risk

5.5 Historical Simulation Value-at-Risk

5.6 Value-at-Risk Horizon

5.7 Value-at-Risk, Catastrophic Events, and Stress Testing

 

CHAPTER 6: USING PORTFOLIO OPTIMIZATION TECHNIQUES TO MANAGE RISK

 

6.1 Risk Measurement versus Risk Management

6.2 Typical Fixed Income Hedges

 

6.5 Variance /Covariance VaR and Partial Duration Hedge Optimizations

6.5.1  Basic Optimization Variables

6.5.2 Example: Hedging Interest Rate Risk of a Mortgage-Backed Security

6.5.3 Example: Managing Fixed Income Portfolios Against Their Benchmarks

6.5.4 Example: Incorporating Yield Curve Bets Into Hedge Optimizations

6.6 General Portfolio Optimizations: Return versus Risk and Cost

6.6.1  Additional Optimization Variables

6.6.2 Example: Hedging Interest Rate Risk With Swaps, Caps, and Floors

6.6.3 Example: AssetlLiability Management via Monte-Carlo Simulation VaR

 

Appendix: Description of the Sample Portfolio