Cover image for Portfolio Risk Analysis.
Portfolio Risk Analysis.
Title:
Portfolio Risk Analysis.
Author:
Connor, Gregory.
ISBN:
9781400835294
Personal Author:
Physical Description:
1 online resource (379 pages)
Contents:
Cover -- Title -- Copyright -- Contents -- Acknowledgments -- Introduction -- Key Notation -- 1 Measures of Risk and Return -- 1.1 Measuring Return -- 1.2 The Key Portfolio Risk Measures -- 1.3 Risk-Return Preferences and Portfolio Optimization -- 1.4 The Capital Asset Pricing Model and Its Applications to Risk Analysis -- 1.5 The Objectives and Limitations of Portfolio Risk Analysis -- 2 Unstructured Covariance Matrices -- 2.1 Estimating Return Covariance Matrices -- 2.2 The Error-Maximization Problem -- 2.3 Portfolio Choice as Decision Making under Uncertainty -- 3 Industry and Country Risk -- 3.1 Industry-Country Component Models -- 3.2 Empirical Evidence on the Relative Magnitudes of Country and Industry Risks -- 3.3 Sector-Currency Models of Corporate Bond Returns -- 4 Statistical Factor Analysis -- 4.1 Types of Factor Models -- 4.2 Approximate Factor Models -- 4.3 The Arbitrage Pricing Theory -- 4.4 Small-n Estimation Methods -- 4.5 Large-n Estimation Methods -- 4.6 Number of Factors -- 5 The Macroeconomy and Portfolio Risk -- 5.1 Estimating Macroeconomic Factor Models -- 5.2 Event Studies of Macroeconomic Announcements -- 5.3 Macroeconomic Policy Endogeneity -- 5.4 Business Cycle Betas -- 5.5 Empirical Fit and the Relative Value of Macroeconomic Factor Models -- 6 Security Characteristics and Pervasive Risk Factors -- 6.1 Equity and Fixed-Income Characteristics -- 6.2 Characteristic-Based Factor Models of Equities -- 6.3 The Fama-French Model and Extensions -- 6.4 The Semiparametric Approach to Characteristic-Based Factor Models -- 7 Measuring and Hedging Foreign Exchange Risk -- 7.1 Definitions of Foreign Exchange Risk -- 7.2 Optimal Currency Hedging -- 7.3 Currency Covariances with Stock and Bond Returns -- 7.4 Macroeconomic Influences on Currency Returns -- 8 Integrated Risk Models -- 8.1 Global and Regional Integration Trends.

8.2 Risk Integration across Asset Classes -- 8.3 Segmented Asset Allocation and Security Selection -- 8.4 Integrated Risk Models -- 9 Dynamic Volatilities and Correlations -- 9.1 GARCH Models -- 9.2 Stochastic Volatility Models -- 9.3 Time Aggregation -- 9.4 Downside Correlation -- 9.5 Option-Implied Volatility -- 9.6 The Volatility Term Structure at Long Horizons -- 9.7 Time-Varying Cross-Sectional Dispersion -- 10 Portfolio Return Distributions -- 10.1 Characterizing Return Distributions -- 10.2 Estimating Return Distributions -- 10.3 Tail Risk -- 10.4 Nonlinear Dependence between Asset Returns -- 11 Credit Risk -- 11.1 Agency Ratings and Factor Models of Spread Risk -- 11.2 Rating Transitions and Default -- 11.3 Credit Instruments -- 11.4 Conceptual Approaches to Credit Risk -- 11.5 Recovery at Default -- 11.6 Portfolio Credit Models -- 11.7 The 2007-8 Credit-Liquidity Crisis -- 12 Transaction Costs and Liquidity Risk -- 12.1 Some Basic Terminology -- 12.2 Measuring Transactions Cost -- 12.3 Statistical Properties of Liquidity -- 12.4 Optimal Trading Strategies and Transaction Costs -- 13 Alternative Asset Classes -- 13.1 Nonsynchronous Pricing and Smoothed Returns -- 13.2 Time-Varying Risk, Nonlinear Payoff, and Style Drift -- 13.3 Selection and Survivorship Biases -- 13.4 Collectibles: Measuring Return and Risk with Infrequent and Error-Prone Observations -- 13.5 Summary -- 14 Performance Measurement -- 14.1 Return-Based Performance Measurement -- 14.2 Holdings-Based Performance Measurement and Attribution -- 14.3 Volatility Forecast Evaluation -- 14.4 Value-at-Risk Hit Rates -- 14.5 Forecast and Realized Return Densities -- 15 Conclusion -- 15.1 Some Key Messages -- 15.2 Questions for Future Research -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X.

Z.
Abstract:
Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective. Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts. This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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