Financial modeling of the equity market [[electronic resource] ] : from CAPM to cointegration / / Frank J. Fabozzi, Sergio M. Focardi, Petter N. Kolm

• Record Nr.: UNINA9910143563103321
• Autore: Fabozzi Frank J
• Pubbl/distr/stampa: Hoboken, N.J., : Wiley, c2006
• ISBN: 1-119-20123-3; 1-280-34337-0; 9786610343379; 0-470-03769-5
• Descrizione fisica: 1 online resource (673 p.)
• Collana: Frank J. Fabozzi series; Wiley finance
• Altri autori (Persone): FocardiSergio M; KolmPetter N
• Disciplina: 332.6; 332.6322
• Soggetti: Stocks - Mathematical models; Portfolio management - Mathematical models
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record
• Nota di bibliografia: Includes bibliographical references and index
• Nota di contenuto: Financial Modeling of the Equity Market; Contents; Preface; Acknowledgments; About the Authors; Chapter 1: Introduction; HISTORICAL PERSPECTIVE ON THE FINANCIAL MODELING OF THE EQUITY MARKET; CENTRAL THEMES OF THE BOOK; ORGANIZATION OF THE BOOK; Part I: Portfolio Allocation: Classical Theory and Modern Extensions; Chapter 2: Mean-Variance Analysis and Modern Portfolio Theory; THE BENEFITS OF DIVERSIFICATION; MEAN-VARIANCE ANALYSIS: OVERVIEW; CLASSICAL FRAMEWORK FOR MEAN-VARIANCE OPTIMIZATION; THE CAPITAL MARKET LINE; SELECTION OF THE OPTIMAL PORTFOLIO WHEN THERE IS A RISK-FREE ASSET; MORE ON UTILITY FUNCTIONS: A GENERAL FRAMEWORK FOR PORTFOLIO CHOICESUMMARY; Chapter 3: Transaction and Trading Costs; A TAXONOMY OF TRANSACTION COSTS; LIQUIDITY AND TRANSACTION COSTS; MARKET IMPACT MEASUREMENTS AND EMPIRICAL FINDINGS; FORECASTING AND MODELING MARKET IMPACT; ; INCORPORATING TRANSACTION COSTS IN ASSET-ALLOCATION MODELS; OPTIMAL TRADING; INTEGRATED PORTFOLIO MANAGEMENT: BEYOND EXPECTED RETURN AND PORTFOLIO RISK53; SUMMARY; Chapter 4: Applying the Portfolio Selection Framework in Practice; REBALANCING IN THE MEAN-VARIANCE OPTIMIZATION FRAMEWORK; PORTFOLIO CONSTRAINTS COMMONLY USED IN PRACTICESUMMARY; Chapter 5: Incorporating Higher Moments and Extreme Risk Measures; DISPERSION AND DOWNSIDE MEASURES; PORTFOLIO SELECTION WITH HIGHER MOMENTS THROUGH EXPANSIONS OF UTILITY; POLYNOMIAL GOAL PROGRAMMING FOR PORTFOLIO OPTIMIZATION WITH HIGHER MOMENTS; SOME REMARKS ON THE ESTIMATION OF HIGHER MOMENTS; THE APPROACH OF MALEVERGNE AND SORNETTE58; SUMMARY; Chapter 6: Mathematical and Numerical Optimization; MATHEMATICAL PROGRAMMING; NECESSARY CONDITIONS FOR OPTIMALITY FOR CONTINUOUS OPTIMIZATION PROBLEMS; HOW DO OPTIMIZATION ALGORITHMS WORK?; OPTIMIZATION SOFTWAREPRACTICAL CONSIDERATIONS WHEN USING OPTIMIZATION SOFTWARE; SUMMARY; Part II: Managing Uncertainty in Practice; Chapter 7: Equity Price Models; DEFINITIONS; THEORETICAL AND ECONOMETRIC MODELS; RANDOM WALK MODELS; GENERAL EQUILIBRIUM THEORIES; CAPITAL ASSET PRICING MODEL ( CAPM); ARBITRAGE PRICING THEORY ( APT); SUMMARY; Chapter 8: Forecasting Expected Return and Risk; DIVIDEND DISCOUNT AND RESIDUAL INCOME VALUATION MODELS; THE SAMPLE MEAN AND COVARIANCE ESTIMATOR; RANDOM MATRICES; ARBITRAGE PRICING THEORY AND FACTOR MODELS; FACTOR MODELS IN PRACTICE; FACTOR MODELS IN PRACTICE: AN EXAMPLEOTHER APPROACHES TO VOLATILITY ESTIMATION; APPLICATION TO INVESTMENT STRATEGIES AND PROPRIETARY TRADING; SUMMARY; Chapter 9: Robust Frameworks for Estimation and Portfolio Allocation; PRACTICAL PROBLEMS ENCOUNTERED IN MEAN-VARIANCE OPTIMIZATION; SHRINKAGE ESTIMATION; BAYESIAN APPROACHES; INCORPORATING ESTIMATION ERROR AND UNCERTAINTY IN THE PORTFOLIO ALLOCATION PROCESS; SUMMARY; Part III: Dynamic Models for Equity Prices; Chapter 10: Feedback and Predictors in Stock Markets; RANDOM WALK MODELS AND THEIR SHORTCOMINGS; TIME DIVERSIFICATION; A MULTIAGENT ECONOMY: EFFECTS OF AGENT HETEROGENEITY AND INTERACTIONS
• Sommario/riassunto: An inside look at modern approaches to modeling equity portfolios Financial Modeling of the Equity Market is the most comprehensive, up-to-date guide to modeling equity portfolios. The book is intended for a wide range of quantitative analysts, practitioners, and students of finance. Without sacrificing mathematical rigor, it presents arguments in a concise and clear style with a wealth of real-world examples and practical simulations. This book presents all the major approaches to single-period return analysis, including modeling, estimation, and optimization issues. It