BlackRock's Guide to Fixed-Income Risk Management

An irreplaceable roadmap to modern risk management from the undisputed masters of the subject

Edited by a co-founder and the former Chief Risk Officer of BlackRock—the world’s largest asset manager—BlackRock’s Guide to Fixed-Income Risk Management delivers an insightful blueprint to the implementation of a comprehensive investment risk management framework for buy-side firms. Leveraging the unprecedented academic and professional experience of current and former senior leaders in BlackRock’s risk and portfolio management functions, as well as trading, financial modeling, and analytics experts, the book serves a practitioner’s guide to investment risk management, leveraging BlackRock’s risk management framework. The included chapters combine to provide chief investment officers, risk managers, portfolio managers, researchers, and compliance professionals an approach to investment risk management well-suited to today’s markets and tomorrow’s. The book also presents:

• Critical elements that underpin a strong risk management program and culture
• Fixed income risk management concepts and theories that can be applied to other asset classes
• Lessons learned from the 2008 financial crisis and the COVID-19 pandemic.

Ideal for undergraduate students and students and scholars of business, finance, and risk management, BlackRock’s Guide to Fixed-Income Risk Management is a one-of-a-kind combination of thoroughly modern theory with proven, practical risk management strategies.

Bennett W. Golub is one of the original founders of BlackRock. During his 34-year career at BlackRock, Dr. Golub was a member of BlackRock’s Global Executive Committee, co-head of its Risk & Quantitative Analysis group and served as BlackRock’s Chief Risk Officer from 2009—2022. Additionally, he co-founded BlackRock Solutions. Currently, Dr. Golub serves as a Senior Advisor to BlackRock.

Frequently Used Abbreviations

Foreword

Preface

Acknowledgments

Section I: An Approach to Fixed Income Investment Risk Management

Chapter 1: An Investment Risk Management Paradigm

1.1 Introduction

1.2 Elements of Risk Management

1.3 BlackRock’s Investment and Risk Management Approach

1.4 Introduction to the BlackRock Investment Risk Paradigm

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

2.2.2 Option-Adjusted Framework: OAV, OAS, OAD, OAC

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

2.2.4 Interest Rate Scenario Analysis

2.3 Measuring Interest Rate Exposure: Empirical Approaches

2.3.1 Coupon Curve Duration

2.3.2 Empirical (Implied) Duration

2.4 Measuring Yield Curve Exposure

2.4.1 Key Rate Durations

2.5 Measuring and Managing Volatility Related Risks

2.5.1 Volatility Duration

2.5.2 Option Usage in Portfolio Management

2.6 Measuring Credit Risk

2.6.1 Spread Duration

2.6.2 Duration Times Spread (DxS)

2.7 Measuring Mortgage-Related Risks

2.7.1 Prepayment Duration

2.7.2 Mortgage/Treasury Basis Duration

2.8 Measuring Impact of Time

Chapter 3: Modeling Yield Curve Dynamics

3.1 Probability Distributions of Systematic Risk Factors

3.2 Principal Component 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

Chapter 4: Portfolio Risk: Estimation and Decomposition

4.1 Introduction

4.2 Portfolio Volatility and Factor Structure

4.3 Covariance Matrix Estimation

4.3.1 Weighting of Historical Data

4.3.1.1 Exponential Decay Weighting

4.3.1.2 Alternative Weighting Schemes and Stress Scenarios

4.3.1.3 Enhancing Volatility Responsiveness Dynamically

4.3.2. Asynchronicity

4.3.2.1 Overlapping Covariance Matrix

4.3.2.2 Newey-West Estimation

4.3.3. Factor Model Structure: Generalizations

4.3.3.1. Optimization of the Error-Bias Tradeoff

4.3.3.2. Misspecification and Omitted Covariation

4.3.4 Covariance Matrix Estimation: Summary and Recommendations

4.4 Ex-Ante Risk and Value-at-Risk (VaR) Methodologies

4.4.1 VaR Estimation Approaches

4.4.2. Enhanced HVaR

4.4.2.1. EHVaR Systematic Risk Methodology

4.4.2.2 EHVaR Idiosyncratic Risk Methodology

4.4.3. VaR Estimation: Summary

4.5 Introduction to Risk Decomposition

4.6. Alternative Approaches to Risk Decomposition

4.6.1 A Comparison of the Different Approaches

4.7. Risk Decomposition Using Contribution to Risk

4.7.1 Security-level Contributions and Aggregations

4.7.2 Factor-level Contributions and Aggregations

4.7.3. Decomposing Contribution to Risk into Atomic Contributions

4.7.4 Decomposing Contribution to Risk into Exposure, Volatility and Correlation

4.7.5 Decomposing Contribution to Risk using Analysis of Variance

4.8. Risk Decomposition Through Time

4.9. Risk Decomposition: Summary

Chapter 5: Market-Driven Scenarios: An Approach for Plausible Scenario Construction

5.1 Introduction

5.2 Implied Stress Testing Framework

5.2.1 Market-Driven Scenario Framework

5.2.2 Scenario Likelihood

5.2.3 From Likelihood to Probability

5.2.4 Decomposing the Scenario Z-Score

5.2.5 Specifying a Covariance Matrix

5.3 Developing Useful Scenarios

5.3.1 Scenario Definition

5.4 A Market-Driven Scenario Example: Brexit

5.4.1 Describing Different Brexit Scenario Outcomes

5.4.2 Identifying Key Policy Shocks in “Soft Brexit” Scenario

5.5 Conclusion

Chapter 6: A Framework to Quantify and Price Geopolitical Risks

6.1 Introduction

6.2 Setting the Scene

6.2.1 Short and Sharp

6.2.2 Shades of Gray

6.3 BlackRock’s Framework for Analyzing Geopolitical Risks

6.4 Global Trade Deep Dive

6.4.1 Calibrating the Shocks

6.5 What is Already Priced in?

6.5.1 Is It Priced In?

6.5.2 Adjusted Impacts

6.5.3 Assessing Likelihood

6.5.4 Takeaways

6.6 Taking Action

6.6.1 Key Drivers

6.6.2 BGRI-Specific Assets

6.6.3 The Path Forward

6.7 Caveats and Cautions

Chapter 7: Liquidity Risk Management

7.1 Introduction

7.2 A Brief History of Liquidity Risk Management

7.3 A Fund Liquidity Risk Framework

7.4 Asset Liquidity

7.4.1 Importance of Data Modeling for Liquidity Risk Management

7.4.2 Asset Liquidity: Days-to-Liquidate

7.4.3 Asset Liquidity: Corporate Bond Transaction Costs (T-Cost)

7.5 Redemption Risk

7.5.1 Managing Redemptions and Outflow Risk

7.6 Liquidity Stress Testing

7.7 Extraordinary Measures

7.8 Fixed Income Data Availability Limitations

7.8.1 Modeling Asset Liquidity

7.8.2 Modeling Redemption-at-Risk

7.8.3 Modeling Liquidity Optimization

7.9 Conclusion

Chapter 8: Using Portfolio Optimization Techniques to Manage Risk

8.1 Risk Measurement Versus Risk Management

8.2 Typical Fixed Income Hedges

8.3 Parametric Hedging Techniques

8.4 Generalized Approach to Hedging

8.4.1 Hedging as Constrained Portfolio Optimization

8.4.2 Mathematical Formulation

8.4.2.1 Exposure Hedging

8.4.2.2 Managing a Portfolio to a Benchmark

8.4.2.3 Stress Scenario Hedging

8.4.3 Examples of Optimized Risk Management Strategies

8.4.3.1 Achieving an ESG Tilt While Managing a Fixed Income Portfolio Relative to a Benchmark 

8.4.3.2 Hedging Stress Scenario Exposure

8.5 Advanced Portfolio Optimization and Risk Management Techniques

8.5.1 Risk Budgeting/Parity

8.5.2 Going Beyond a Single Fund / Single Period in Portfolio Risk Management

8.5.2.1 Multi-Fund Portfolio Construction and Risk Management

8.5.2.2 Multi-Period Portfolio Construction and Risk Management 

8.5.2.3 Risk Management Using Scenario Optimization

8.5.3 Example: Risk Budgeting for Factor-Based Investing

Chapter 9: Risk Governance

9.1 Introduction

9.2 Risk Scan Standard Framework

9.3 Risk and Performance Target Framework 

9.4 Governance

Chapter 10: Risk - Return Awareness & Behavioral Finance

10.1 Introduction

10.2 Portfolio and Risk Manager Partnership

10.3 Behavioral Risk Management for Fixed Income

10.4 Decision Making Analytics

10.4.1 Loss Aversion

10.4.1.1 The Disposition Bias

10.4.1.2 The Endowment Effect

10.5 Investment Process

10.5.1. Leveraging the Wisdom of the Crowds

10.5.2 Bolster System II Thinking

10.5.3 Facilitate Continuous Learning

10.6 Conclusion

Chapter 11: Performance Attribution

11. 1 Introduction

11.2 Brinson Attribution and Beyond

11.2.1 Comparing Market Value Brinson Attribution to Beta-Adjusted Attribution

11.3 Factor-Based Attribution

11.4 Equity Fundamental Factor-Based Attribution

Chapter 12: Performance Analysis

12.1 Introduction

12.2 Performance Governance

12.3 Performance Metrics

12.3.1 Active Performance Measurement

12.3.1.1 Alpha Target Ratio

12.3.1.2 Weighted Peer Percentile

12.3.1.3 Strength and Weaknesses of the Alpha Target Ratio and Weighted Peer Percentile

12.3.1.4 Alpha Dollars

12.3.1.4.1 Strength and Weaknesses of Alpha Dollars

12.3.2 Passive Performance Metrics

12.3.2.1 Direct Tracking Basis Points (Bps)

12.3.2.2 Strength and Weaknesses of Direct Tracking Bps

12.4 Conclusion

Chapter 13: Evolving the Risk Management Paradigm

13.1 Introduction

13.2 Traditional Buy-side Risk Management Framework

13.3 Evolving the Investment Risk Management Paradigm (IRMP): In Pursuit of Investment Risk Management at Scale

13.4 Risk Governance

13.5 Supporting Risk Governance Through Technology

13.6 Implementing a Risk Governance Framework through Aladdin

13.7 Aladdin Risk Radar Example 

13.7.1 Aladdin Risk Radar Overview

13.7.2 Rules & Portfolio Subscriptions

13.7.3 Exceptions and Tasks

13.7.4 Exception Classification

13.7.5 Risk Exception Reporting and Audit

13.7.6 What is Next for Technology-Enabled Investment Risk Oversight?

13.8 Conclusion

Section II: Fixed Income Risk Management - Then and Now

Chapter 14: The Modernization of the Bond Market

14.1 Charting the Evolution of Bond Markets

14.1.1 The Current State of Bond Market Liquidity

14.1.2 The Modernization of Bond Market Structure

14.1.3 Continued Growth in Electronic Bond Trading

14.2 The Development of an Index-Based Ecosystem

14.2.1 Fixed Income ETFs: Continued Strong Growth and Adoption

14.2.2 Portfolio Trading and Fixed Income ETFs

14.2.3 Continued Growth in Bond Index Derivatives Markets

14.2.4 Fixed Income ETF Options

14.3 Implications for Investing, Portfolio Management and Risk Management

14.3.1 Use Cases for Fixed Income ETFs and Other Index Exposures

14.4 The Future State of Portfolio Construction

14.4.1 Portfolio Engineering and Construction

14.5 Conclusion

Chapter 15: The LIBOR Transition

15.1 Introduction

15.2 Implications to Portfolio and Risk Management

15.3 Shift from LIBOR to SOFR

15.4 Risk Management Impact and Coordination

15.5 Reflections on a Benchmark Reformed

Chapter 16: Derivatives Reform: The Rise of SEFs and Central Counterparties

16.1 The Call for Change: 2008 Global Financial Crisis

16.2 The Value of Derivatives in Fixed Income Portfolios

16.3 Trading Fixed Income Derivatives: The Rise of SEFs

16.4 Clearing Fixed Income Derivatives: The Rise of CCPs

16.5 CCP Risk Mitigation Techniques

16.5.1 CCP Risk Mitigation Techniques: What Could Go Wrong?

16.6 The Call for Change: Market Participants Ask for Stronger CCPs

16.7 Conclusion

Section III: Lessons Learned from the Financial Crisis and Coronavirus Pandemic

Chapter 17: Risk Management Lessons Worth Remembering from the Credit Crisis of 2007–2009

17.1 Introduction

17.2 The Paramount Importance of Liquidity

17.2.1 Price ≠ Intrinsic Value Unless Special Conditions Hold

17.2.2 Cash and Cash Flow are the Only Robust Sources of Liquidity

17.2.3 Complexity and Opacity Matter More Than You Think

17.2.4 Collateralization Can Be a Two-Edged Sword

17.2.5 Liquidity Is a Common Risk Factor

17.3 Investors in Securitized Products Need to Look Past the Data to the Underlying Behavior of the Assets

17.4 Certification is Useless During Systemic Events

17.5 Market Risk Can Change Dramatically

17.6 The Changing Nature of Market Risk

17.7 By the Time a Crisis Strikes, it’s too Late to Start Preparing

17.8 Conclusion

Chapter 18: Reflections on Buy-Side Risk Management After (or Between) the Storms

18.1 Introduction

18.2 Risk Management Requires Institutional Buy-In

18.3 The Alignment and Management of Institutional Interests

18.4 Getting Risk Takers to Think Like Risk Managers

18.5 Independent Risk Management Organizations

18.6 Clearly Define Fiduciary Obligations

18.7 Bottom-Up Risk Management

18.8 Risk Models Require Constant Vigilance

18.9 Risk Management Does Not Mean Risk Avoidance

Chapter 19: Lessons Worth Considering from the COVID-19 Crisis

19.1 Introduction

19.2 Background

19.3 Core Principles Underpinning Recommendations

19.4 March 2020: Capital Markets Highlights and Official Sector Intervention

19.5 COVID-19 Lessons: What Worked and What Needs to be Addressed

19.6 Recommendations to Enhance the Resilience of Capital Markets

19.6.1 Recommendations Regarding Bank Regulations

19.6.2 Recommendations Regarding Market Structure

19.6.2.1 Treasuries

19.6.2.2 Short-Term Markets

19.6.2.3 Fixed Income Markets

19.6.2.4 Central Clearing Counterparties (CCPs)

19.6.2.5 Equities

19.6.2.6 Indices

19.6.2.7 Data

19.6.3 Recommendations Regarding Asset Management

19.7 Concerns with Macroprudential Controls

19.8 Conclusion

19.9 PostScript

About the Author(s)

Index

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