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Investment Theory and Risk Management

Investment Theory and Risk Management

  • Author:
  • Publisher: John Wiley & Sons
  • ISBN: 9781118129593
  • Published In: April 2012
  • Format: Hardback , 464 pages
  • Jurisdiction: International or US ? Disclaimer:
    Countri(es) stated herein are used as reference only
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    A unique perspective on applied investment theory and risk management from the Senior Risk Officer of a major pension fund

    Investment Theory and Risk Management is a practical guide to today's investment environment. The book's sophisticated quantitative methods are examined by an author who uses these methods at the Virginia Retirement System and teaches them at the Virginia Commonwealth University. In addition to showing how investment performance can be evaluated, using Jensen's Alpha, Sharpe's Ratio, and DDM, he delves into four types of optimal portfolios (one that is fully invested, one with targeted returns, another with no short sales, and one with capped investment allocations).

    In addition, the book provides valuable insights on risk, and topics such as anomalies, factor models, and active portfolio management. Other chapters focus on private equity, structured credit, optimal rebalancing, data problems, and Monte Carlo simulation.

    • Contains investment theory and risk management spreadsheet models based on the author's own real-world experience with stock, bonds, and alternative assets
    • Offers a down-to-earth guide that can be used on a daily basis for making common financial decisions with a new level of quantitative sophistication and rigor
    • Written by the Director of Research and Senior Risk Officer for the Virginia Retirement System and an Associate Professor at Virginia Commonwealth University's School of Business

    Investment Theory and Risk Management empowers both the technical and non-technical reader with the essential knowledge necessary to understand and manage risks in any corporate or economic environment.

  • Preface xv

    Acknowledgments xix

    CHAPTER 1 Discount Rates and Returns 1

    Estimating Returns 1

    Geometric and Arithmetic Averages 4

    Caveats to Return Extrapolation 5

    Discounting Present Values of Cash Flow Streams 7

    Internal Rate of Return and Yield to Maturity 11

    Real and Nominal Returns 14

    Summary 14

    CHAPTER 2 Fixed Income Securities 17

    Coupon-Bearing Bonds 19

    Infinite Cash Flow Streams (Perpetuities) 21

    General Pricing Formulas for Finite Cash Flow Streams 22

    Interest Rate Risk 24

    Analysis of Duration 29

    Interest Rate Risk Dynamics 31

    Immunization and Duration 32

    Applications—Liability Discounting and Cash Matching 36

    Pension Logic 39

    Risky Coupons 42

    Inflation Risk and TIPS 43

    A Bond Portfolio Strategy (Optional) 45

    Summary 48

    Appendix 2.1: Solving Infinite and Finite Power Series 49

    Reference 50

    CHAPTER 3 Term Structure 51

    Discounting Using Spot Rates 51

    Forward Rates 53

    NPV Revisited 56

    Short Rates 57

    The Bootstrap Method 58

    Duration Redux 62

    Summary 66

    CHAPTER 4 Equity 67

    The Determination of Stock Prices 68

    Discount Rates Redux 70

    Price and Dividend Multiples 73

    Extrapolating Multiples to Forecast Returns 74

    Pitfalls of Trend Analysis 75

    The Gordon Growth Model 78

    Sources of Return 82

    Summary 85

    References 86

    CHAPTER 5 Portfolio Construction 87

    Stochastic Returns and Risk 87

    Diversification 92

    The Efficient Frontier 93

    Markowitz Portfolio Selection Criteria 97

    Capital Market Line and the CAPM 101

    Performance Evaluation 106

    Summary 108

    Appendix 5.1: Statistical Review 108

    Appendix 5.2: Risk-Adjusted Performance 112

    Reference 113

    CHAPTER 6 Optimal Portfolios 115

    Portfolio 1: Minimum Variance Portfolio (Fully Invested) 115

    Portfolio 2: Minimum Variance Portfolios with

    Targeted Return 118

    Portfolio 3: Minimum Variance Portfolios with No Short Sales 119

    Portfolio 4: Minimum Variance Portfolios with Capped Allocations 122

    Portfolio 5: Maximum Risk-Adjusted Return 123

    Performance Attribution 125

    The Efficient Frontier (Again) 127

    Summary 129

    Appendix 6.1: Matrix Operations 129

    CHAPTER 7 Data and Applications 135

    Analyzing Returns on a 10-Asset Portfolio 135

    Performance Attribution 137

    Changing the Investment Horizon Returns Frequency 139

    Benchmarking to the Market Portfolio 141

    The Cost of Constraints 144

    A Bond Strategy 145

    Summary 147

    CHAPTER 8 Anomalies 149

    Deviations from the CAPM 150

    Behavioral Finance 155

    Summary 161

    References 162

    CHAPTER 9 Factor Models 165

    Arbitrage Pricing Theory (APT) 166

    Factor Selection 170

    Model Estimation 172

    Principal Components 177

    Applications and Examples 181

    Summary 186

    References 186

    CHAPTER 10 Active Portfolio Management 187

    Active Portfolio Construction and Attribution Analysis 190

    Performance Attribution 192

    Summary 194

    Appendix 10.1: Active Space 195

    CHAPTER 11 Risk 197

    The Failure of VaR 198

    Taxonomy of Risk 200

    Visualizing Risk 202

    Estimating Volatilities 208

    Maximum Likelihood Estimation (Optional) 213

    Credit Risk 215

    Adjusting for Leverage 217

    Adjusting for Illiquidity 221

    Other Risks 221

    Summary 222

    References 222

    CHAPTER 12 Monte Carlo Methods 225

    Example 12.1: Generating Random

    Numbers—Estimating P 226

    Example 12.2: Confirming the Central Limit Theorem 227

    Example 12.3: Credit Default Risk 228

    Non-Normal Distributions 232

    The Gaussian Copula 234

    Summary 239

    References 239

    CHAPTER 13 Systemic Risk 241

    Extreme Value Theory 242

    Estimating the Hazards of Downside Risks 246

    A Systemic Risk Indicator 252

    Summary 255

    References 256

    CHAPTER 14 Incorporating Subjective Views 257

    Methodological Concepts 258

    An Example Using Black-Litterman 263

    Active Space 266

    Risk Attribution 267

    Summary 268

    References 269

    CHAPTER 15 Futures, Forwards, and Swaps 271

    Institutional Detail and Futures Mechanics 271

    The Relationship between Spot Prices and Forward (Futures) Prices 274

    Hedging Basis Risk 276

    Hedging Portfolio Risk 278

    Futures Pricing 280

    Swaps 287

    Summary 291

    References 292

    CHAPTER 16 Introduction to Options 293

    Option Payoffs and Put-Call Parity 294

    Pricing European Call Options 297

    Pricing European Put Options 301

    Option Strategies 302

    Real Options 308

    Summary 314

    References 314

    CHAPTER 17 Models of Stock Price Dynamics 315

    Stock Price Dynamics 315

    Ito Processes 318

    Lognormal Stock Prices 321

    Deriving the Parameters of the Binomial Lattice 325

    Black-Scholes-Merton Model 327

    The Greek Letters 330

    Monte Carlo Methods 335

    Summary 338

    Appendix 17.1: Derivation of Ito’s Lemma 339

    CHAPTER 18 Hedging Portfolio Risk 341

    Simple Hedging Strategies 341

    S&P 500 Index Puts 343

    Selling Volatility 345

    VIX Calls 346

    Liability-Driven Investment 350

    Summary 353

    References 354

    CHAPTER 19 Private Equity 355

    The Private Equity Model 357

    Return and Risk Methodology 360

    Summary 366

    Appendix 19.1: CAPM 366

    References 369

    CHAPTER 20 Structured Credit 371

    Securitization 372

    Credit Enhancement 374

    Basics of Pricing Interest Rate Derivatives 379

    Interest Rate Dynamics 381

    CMO Valuation 383

    The Crash of the Housing Bubble 385

    Summary 387

    Reference 388

    CHAPTER 21 Optimal Rebalancing 389

    Trigger Strategies and No-Trade Regions 390

    An Optimal Control Problem 392

    Implications 395

    Optimal Rebalancing in a Static

    Optimization Model 396

    The Comparative Statics of Transaction Costs 398

    Reference 400

    CHAPTER 22 Data Problems 401

    Covariance Estimation 402

    An Example 405

    Empirical Results 407

    Overlapping Observations 413

    Conclusions 416

    Appendix 22.1: Covariance Matrix Estimation 417

    References 420

    About the Author 423

    Index 425

  • Steven Peterson is the Director of Research and Senior Risk Officer for the Virginia Retirement System and an Associate Professor at Virginia Commonwealth University's School of Business. He is directly responsible for the measurement, forecasting, and attribution of risk at both the program and plan levels, with risk broadly defined to include various market and nonmarket risks. Peterson has done consulting for Crestar Investment Bank, SunTrust Bank, Ford Motor Company, Virginia Center for Urban Development (VCU Center for Public Policy), Virginia Department of Social Services, Virginia Division of Child Support Enforcement, LandAmerica, Virginia Retirement System, and Virginia Department of Corrections.

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