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Asset Pricing and Portfolio Choice Theory

Asset Pricing and Portfolio Choice Theory

  • Author:
  • Publisher: Oxford University Press USA
  • ISBN: 9780195380613
  • Published In: September 2010
  • Format: Hardback , 464 pages
  • Jurisdiction: International ? Disclaimer:
    Countri(es) stated herein are used as reference only
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  • Contents 
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    • ritten at an introductory level but includes detailed proofs
    • Includes extensive exercises and a solutions manual for adopting instructors

    This book is intended as a textbook for Ph.D. students in finance and as a reference book for academics. It is written at an introductory level but includes detailed proofs and calculations as section appendices. It covers the classical results on single-period, discrete-time, and continuous-time models. It also treats various proposed explanations for the equity premium and risk-free rate puzzles: persistent heterogeneous idiosyncratic risks, internal habits, external habits, and recursive utility. Most of the book assumes rational behavior, but two topics important for behavioral finance are covered: heterogeneous beliefs and non-expected-utility preferences. There are also chapters on asymmetric information and production models. The book includes numerous exercises designed to provide practice with the concepts and also to introduce additional results. Each chapter concludes with a notes and references section that supplies references to additional developments in the field.

    Readership: Professors and PhD students in finance, economics, and mathematical finance.

  • Preface
    I Single-Period Models
    1 Utility Functions and Risk Aversion Coefficients
    1.1 Uniqueness of Utility Functions
    1.2 Concavity and Risk Aversion
    1.3 Coefficients of Risk Aversion
    1.4 Risk Aversion and Risk Premia
    1.5 Constant Absolute Risk Aversion
    1.6 Constant Relative Risk Aversion
    1.7 Linear Risk Tolerance
    1.8 Conditioning and Aversion to Noise
    1.9 Notes and References
    Exercises
    2 Portfolio Choice and Stochastic Discount Factors
    2.1 The First-Order Condition
    2.2 Stochastic Discount Factors
    2.3 A Single Risky Asset
    2.4 Linear Risk Tolerance
    2.5 Multiple Asset CARA-Normal Example
    2.6 Mean-Variance Preferences
    2.7 Complete Markets
    2.8 Beginning-of-Period Consumption
    2.9 Time-Additive Utility
    2.10 Notes and References
    Exercises
    3 Equilibrium and Efficiency
    3.1 Pareto Optima
    3.2 Social Planner's Problem
    3.3 Pareto Optima and Sharing Rules
    3.4 Competitive Equilibria
    3.5 Complete Markets
    3.6 Linear Risk Tolerance
    3.7 Beginning-of-Period Consumption 1
    3.8 Notes and References
    Exercises
    4 Arbitrage and Stochastic Discount Factors
    4.1 Fundamental Theorem on Existence of SDF's
    4.2 Law of One Price and Stochastic Discount Factors
    4.3 Risk Neutral Probabilities
    4.4 Projecting SDF's onto the Asset Span
    4.5 Projecting onto a Constant and the Asset Span
    4.6 Hansen-Jagannathan Bound with a Risk-Free Asset
    4.7 Hansen-Jagannathan Bound with No Risk-Free Asset
    4.8 Hilbert Spaces and Gram-Schmidt Orthogonalization
    4.9 Notes and References Exercises
    5 Mean-Variance Analysis
    5.1 The Calculus Approach
    5.2 Two-Fund Spanning
    5.3 The Mean-Standard Deviation Trade-Off
    5.4 GMV Portfolio and Mean-Variance Efficiency
    5.5 Calculus Approach with a Risk-Free Asset
    5.6 Two-Fund Spanning Again
    5.7 Orthogonal Projections and Frontier Returns
    5.8 Risk-Free Return Proxies
    5.9 Inefficiency of ~Rp
    5.10 Hansen-Jagannathan Bound with a Risk-Free Asset
    5.11 Frontier Returns and Stochastic Discount Factors
    5.12 Separating Distributions
    5.13 Notes and References
    Exercises
    6 Beta Pricing Models
    6.1 Beta Pricing
    6.2 Single-Factor Models with Returns as Factors
    6.3 The Capital Asset Pricing Model
    6.4 Returns and Excess Returns as Factors
    6.5 Projecting Factors on Returns and Excess Returns
    6.6 Beta Pricing and Stochastic Discount Factors
    6.7 Arbitrage Pricing Theory
    6.8 Notes and References
    Exercises
    7 Representative Investors
    7.1 Pareto Optimality Implies a Representative Investor
    7.2 Linear Risk Tolerance
    7.3 Consumption-Based Asset Pricing
    7.4 Pricing Options
    7.5 Notes and References
    Exercises
    II Dynamic Models
    8 Dynamic Securities Markets
    8.1 The Portfolio Choice Problem
    8.2 Stochastic Discount Factor Processes
    8.3 Self-Financing Wealth Processes
    8.4 The Martingale Property
    8.5 Transversality Conditions and Ponzi Schemes
    8.6 The Euler Equation
    8.7 Arbitrage and the Law of One Price
    8.8 Risk Neutral Probabilities
    8.9 Complete Markets
    8.10 Portfolio Choice in Complete Markets
    8.11 Competitive Equilibria
    8.12 Notes and References
    Exercises
    9 Portfolio Choice by Dynamic Programming
    9.1 Introduction to Dynamic Programming
    9.2 Bellman Equation for Portfolio Choice
    9.3 The Envelope Condition
    9.4 Maximizing CRRA Utility of Terminal Wealth
    9.5 CRRA Utility with Intermediate Consumption
    9.6 CRRA Utility with an Infinite Horizon
    9.7 Notes and References
    Exercises
    10 Conditional Beta Pricing Models
    10.1 From Conditional to Unconditional Models
    10.2 The Conditional CAPM
    10.3 The Consumption-Based CAPM
    10.4 The Intertemporal CAPM
    10.5 An Approximate CAPM
    10.6 Notes and References
    Exercises
    11 Some Dynamic Equilibrium Models
    11.1 Representative Investors
    11.2 Valuing the Market Portfolio
    11.3 The Risk-Free Return
    11.4 The Equity Premium Puzzle
    11.5 The Risk-Free Rate Puzzle
    11.6 Uninsurable Idiosyncratic Income Risk
    11.7 External Habits
    11.8 Notes and References
    Exercises
    12 Brownian Motion and Stochastic Calculus
    12.1 Brownian Motion
    12.2 Quadratic Variation
    12.3 Itô Integral
    12.4 Local Martingales and Doubling Strategies
    12.5 Itô Processes
    12.6 Asset and Portfolio Returns
    12.7 Martingale Representation Theorem
    12.8 Itô's Formula: Version I
    12.9 Geometric Brownian Motion
    12.10 Covariations of Itô Processes
    12.11 Itô's Formula: Version II
    12.12 Conditional Variances and Covariances
    12.13 Transformations of Models
    12.14 Notes and References
    Exercises
    13 Continuous-Time Securities Markets and SDF Processes
    13.1 Dividend-Reinvested Asset Prices
    13.2 Securities Markets
    13.3 Self-Financing Wealth Processes
    13.4 Conditional Mean-Variance Frontier
    13.5 Stochastic Discount Factor Processes
    13.6 Properties of SDF Processes
    13.7 Sufficient Conditions for MW to be a Martingale
    13.8 Valuing Consumption Streams
    13.9 Risk Neutral Probabilities
    13.10 Complete Markets
    13.11 SDF Processes without a Risk-Free Asset
    13.12 Inflation and Foreign Exchange
    13.13 Notes and References
    Exercises
    14 Continuous-Time Portfolio Choice and Beta Pricing
    14.1 The Static Budget Constraint
    14.2 Complete Markets
    12 CONTENTS
    14.3 Constant Capital Market Line
    14.4 Dynamic Programming Example
    14.5 General Markovian Portfolio Choice
    14.6 The CCAPM
    14.7 The ICAPM
    14.8 The CAPM
    14.9 Infinite-Horizon Dynamic Programming
    14.10 Dynamic Programming with CRRA Utility
    14.11 Verification Theorem
    14.12 Notes and References
    Exercises
    III Derivative Securities
    15 Option Pricing
    15.1 Introduction to Options
    15.2 Put-Call Parity and Option Bounds
    15.3 SDF Processes
    15.4 Changes of Measure
    15.5 Market Completeness
    15.6 The Black-Scholes Formula
    15.7 Delta Hedging
    15.8 The Fundamental PDE
    15.9 American Options
    15.10 Smooth Pasting
    15.11 European Options on Dividend-Paying Assets
    15.12 Notes and References
    Exercises
    16 Forwards, Futures, and More Option Pricing
    16.1 Forward Measures
    16.2 Forward Contracts
    16.3 Futures Contracts
    16.4 Exchange Options
    16.5 Options on Forwards and Futures
    16.6 Dividends and Random Interest Rates
    16.7 Implied Volatilities and Local Volatilities
    16.8 Stochastic Volatility
    16.9 Notes and References
    17 Term Structure Models
    17.1 Vasicek Model
    17.2 Cox-Ingersoll-Ross Model
    17.3 Multi-Factor CIR Models
    17.4 Affine Models
    1
    17.6 Quadratic Models
    17.7 Forward Rates
    17.8 Fitting the Yield Curve
    17.9 Heath-Jarrow-Morton Models
    17.10 Notes and References
    Exercises
    IV Topics
    18 Heterogeneous Priors
    18.1 State-Dependent Utility Formulation
    18.2 Representative Investors in Complete Single-Period Markets
    18.3 Representative Investors in Complete Dynamic Markets
    18.4 Short Sales Constraints and Biased Prices
    18.5 Speculative Trade
    18.6 Notes and References
    Exercises
    19 Asymmetric Information
    19.1 The No-Trade Theorem
    19.2 Normal-Normal Updating
    19.3 A Fully Revealing Equilibrium
    19.5 A Model with a Large Number of Investors
    19.7 The Kyle Model in Continuous Time
    19.8 Notes and References
    Exercises
    20 Alternative Preferences in Single-Period Models
    20.1 The Ellsberg Paradox
    20.2 The Sure Thing Principle
    20.3 Multiple Priors and Max-Min Utility
    20.4 Non-Additive Set Functions
    20.5 The Allais Paradox
    20.6 The Independence Axiom
    20.7 Betweenness Preferences
    20.8 Rank-Dependent Preferences
    20.9 First-Order Risk Aversion
    20.10 Framing and Loss Aversion
    20.11 Prospect Theory
    20.12 Notes and References
    Exercises
    21 Alternative Preferences in Dynamic Models
    21.1 Recursive Preferences
    21.2 Portfolio Choice with Epstein-Zin-Weil Utility
    21.3 A Representative Investor with Epstein-Zin-Weil Utility
    21.4 Internal Habits
    21.5 Linear Internal Habits in Complete Markets
    21.6 A Representative Investor with an Internal Habit
    21.7 Keeping/Catching Up with the Joneses
    21.8 Ambiguity Aversion in Dynamic Models
    21.9 Notes and References
    Exercises
    22 Production Models
    22.1 Discrete-Time Model
    22.2 Marginal q
    22.3 Costly Reversibility
    22.4 Project Risk and Firm Risk
    22.5 Irreversibility and Options
    22.6 Irreversibility and Perfect Competition
    22.7 Irreversibility and Risk
    22.8 Irreversibility and Perfect Competition: An Example
    22.9 Notes and References
    Exercises
    Appendices
    A Some Probability and Stochastic Process Theory
    A.1 Random Variables
    A.2 Probabilities
    A.3 Distribution Functions and Densities
    A.4 Expectations
    A.5 Convergence of Expectations
    A.6 Interchange of Differentiation and Expectation
    A.7 Random Vectors
    A.8 Conditioning
    A.9 Independence
    A.10 Equivalent Probability Measures
    A.11 Filtrations, Martingales, and Stopping Times
    A.12 Martingales under Equivalent Measures
    A.13 Local Martingales
    A.14 The Usual Conditions
    Notes
    References
    Index

  • Kerry Back, Professor of Finance and Howard J. Creekmore Profe, Rice University

    Kerry Back is a co-editor of Finance & Stochastics, an associate editor of the Journal of Finance, and a former editor of the Review of Financial Studies. He has received various research and teaching awards, including a Batterymarch Fellowship, and is the author of A Course in Derivative Securities: Introduction to Theory and Computation (Springer) as well as numerous journal articles in finance, economics, and mathematics.

  • "Kerry Back has created a masterful introduction to asset pricing and portfolio choice. It is easy to foresee this text becoming a new standard in finance PhD courses as well as a valued reference for seasoned finance scholars everywhere. The coverage of topics is comprehensive, starting in a single-period setting and then moving naturally to dynamic models in both discrete and continuous time. The numerous challenging exercises are yet another big strength. In short, an impressive achievement."--Robert F. Stambaugh, Miller Anderson & Sherrerd Professor of Finance, The Wharton School, University of Pennsylvania 

    "Kerry Back offers us a rigorous, but accessible treatment of the asset pricing theory concepts that every doctoral student in finance should learn. A distinguished scholar in the field provides a presentation that is clear yet concise, and at the end of each chapter exercises that are an invaluable pedagogical tool for both students and instructors."--Eduardo Schwartz, California Chair in Real Estate and Land Economics, UCLA Anderson School of Management 

    "In Asset Pricing and Portfolio Choice Theory Kerry Back has given us a comprehensive, rigorous and at the same time elegant and self-contained treatment of the important developments in this vast literature. It will be useful to graduate students and advanced undergraduate students in economics, finance, financial engineering, and management science as well as interested practitioners."--Ravi Jagannathan, Chicago Mercantile Exchange/John F. Sandner Professor of Finance and a Co-Director of the Financial Institutions and Markets Research Center, Kellogg School of Management, Northwestern University

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