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- 题名/责任者:
- Investment theory and risk management / Steven P. Peterson.
- 出版发行项:
- Hoboken, N.J. : Wiley, 2012.
- ISBN:
- 9781118129593 (hbk.)
- ISBN:
- 1118129598 (hbk.)
- 载体形态项:
- xix, 441 p. : ill. ; 24 cm.
- 丛编说明:
- Wiley finance series
- 丛编统一题名:
- Wiley finance series.
- 个人责任者:
- Peterson, Steven P.
- 论题主题:
- Investment analysis.
- 论题主题:
- Portfolio management.
- 论题主题:
- Risk management.
- 中图法分类号:
- F830.59
- 书目附注:
- Includes bibliographical references and index.
- 内容附注:
- Machine generated contents note: Preface Acknowledgments Chapter 1: Discount Rates and Returns Estimating Returns Geometric and Arithmetic Averages Caveats to Return Extrapolation Discounting Present Values of Cash Flow Streams Internal Rate of Return and Yield to Maturity Real and Nominal Returns Summary Chapter 2: Fixed Income Securities Coupon Bearing Bonds Infinite Cash Flow Streams (Perpetuities) General Pricing Formulas for Finite Cash Flow Streams Interest Rate Risk Analysis of Duration Interest Rate Risk Dynamics Immunization and Duration Applications -- Liability Discounting and Cash Matching Pension Logic Risky Coupons Inflation Risk and TIPS A Bond Portfolio Strategy (Optional) Summary Appendix 2.1: Solving Infinite and Finite Power Series References Chapter 3: Term Structure Discounting Using Spot Rates Forward Rates NPV revisited Short Rates The Bootstrap Method Duration Redux Summary Chapter 4: Equity The Determination of Stock Prices Discount Rates Redux Price and Dividend Multiples Extrapolating Multiples to Forecast Returns Pitfalls of Trend Analysis The Gordon Growth Model Sources of Return Summary References Chapter 5: Portfolio Construction Stochastic Returns and Risk Diversification The Efficient Frontier Markowitz Portfolio Selection Criteria Capital Market Line and the CAPM Performance Evaluation Summary Appendix 5.1: Statistical Review Appendix 5.2: Risk Adjusted Performance References Chapter 6: Optimal Portfolios Portfolio 1: Minimum Variance Portfolio (Fully Invested) Portfolio 2: Minimum Variance Portfolios with Targeted Return Portfolio 3: Minimum Variance Portfolios with No Short Sales Portfolio 4: Minimum Variance Portfolios with Capped Allocations Portfolio 5: Maximum Risk-Adjusted Return Performance Attribution The Efficient Frontier (Again) Summary Appendix 6.1: Matrix Operations Chapter 7: Data and Applications Analyzing Returns on a Ten Asset Portfolio Performance Attribution Changing the Investment Horizon Benchmarking to the Market Portfolio The Cost of Constraints A Bond Strategy Summary Chapter 8: Anomalies Deviations from the CAPM Behavioral Finance Summary References Chapter 9: Factor Models Arbitrage Pricing Theory (APT) Factor Selection Model Estimation Principal Components Applications and Examples Summary References Chapter 10: Active Portfolio Management Active Portfolio Construction and Attribution Analysis Performance Attribution Summary Appendix 10.1: Active Space Chapter 11: Risk The Failure of VaR Taxonomy of Risk Visualizing Risk Estimating Volatilities Maximum Likelihood Estimation (Optional) Credit Risk Adjusting for Leverage Adjusting for Illiquidity Other Risks Summary References Chapter 12: Monte Carlo Methods Example 1: Generating Random Numbers -- Estimating pi Example 2: Confirming the Central Limit Theorem Example 3: Credit Default Risk Non-Normal Distributions The Gaussian Copula Summary References Chapter 13: Systemic Risk Extreme Value Theory Estimating the Hazards of Downside Risks A Systemic Risk Indicator Summary References Chapter 14: Incorporating Subjective Views Methodological Concepts An Example using Black-Litterman Active Space Risk Attribution Summary References Chapter 15: Futures, Forwards, and Swaps Institutional Detail and Futures Mechanics The Relationship between Spot Prices and Forward (Futures) Prices Hedging Basis Risk Hedging Portfolio Risk Futures Pricing Swaps Summary References Chapter 16: Introduction to Options Option Payoffs and Put-Call Parity Pricing European Call Options Pricing European Put Options Option Strategies Real Options Summary References Chapter 17: Models of Stock Price Dynamics Stock Price Dynamics Ito Processes Lognormal Stock Prices Deriving the Parameters of the Binomial Lattice Black-Scholes-Merton Model The Greek Letters Monte Carlo Methods Summary Appendix 17.1: Derivation of Ito's Lemma Chapter 18: Hedging Portfolio Risk Simple Hedging Strategies S&P 500 Index Puts Selling Volatility VIX Calls Liability Driven Investment Summary References Chapter 19: Private Equity The Private Equity Model Return and Risk Methodology Summary Appendix 19.1: CAPM References Chapter 20: Structured Credit Securitization Credit Enhancement Basics of Pricing Interest Rate Derivatives Interest Rate Dynamics CDO Valuation The Crash of the Housing Bubble Summary References Chapter 21: Optimal Rebalancing Trigger Strategies and No-trade Regions An Optimal Control Problem Implications Optimal Rebalancing in a Static Optimization Model The Comparative Statics of Transactions Costs References Chapter 22: Data Problems* Covariance Estimation An Example Empirical Results Overlapping Observations Conclusions Appendix 22.1: Covariance Matrix Estimation Removing the effects of smoothing References About the Author Index.
- 摘要附注:
- "A unique perspective on applied investment theory and risk management from the Senior Risk Officer of a major pension fundInvestment 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"--Provided by publisher.
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