A behavioral approach to asset pricing /
A Behavioral Approach to Asset Pricing Theory examines the reigning assumptions of asset pricing theory and reconstructs them to incorporate findings from behavioral finance. It constructs a solid, intact structure that challenges classic assumptions and at the same time provides a strong theory and...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Amsterdam ; Boston :
Elsevier Academic Press,
©2005.
|
Colección: | Academic Press advanced finance series.
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover
- Contents
- 1 Introduction
- 1.1 Why Read This Book?
- 1.2 Organization: How the Ideas in This Book Tie Together
- 1.3 Summary
- Part I
- Heuristics and Representativeness: Experimental Evidence
- 2 Representativeness and Bayes Rule: Psychological Perspective
- 2.1 Explaining Representativeness
- 2.2 Implications for Bayes Rule
- 2.3 Experiment
- 2.4 Representativeness and Prediction
- 2.5 Summary
- 3 Representativeness and Bayes Rule: Economics Perspective
- 3.1 The Grether Experiment
- 3.2 Representativeness
- 3.3 Results
- 3.4 Summary
- 4 A Simple Asset Pricing Model Featuring Representativeness
- 4.1 First Stage, Modified Experimental Structure
- 4.2 Expected Utility Model
- 4.3 Equilibrium Prices
- 4.4 Representativeness
- 4.5 Second Stage: Signal-Based Market Structure
- 4.6 Summary
- 5 Heterogeneous Judgments in Experiments
- 5.1 Grether Experiment
- 5.2 Heterogeneity in Predictions of GPA
- 5.3 The De Bondt Experiment
- 5.4 Why Some Bet on Trends and Others Commit Gambler's Fallacy
- 5.5 Summary
- Part II
- Heuristics and Representativeness: Investor Expectations
- 6 Representativeness and Heterogeneous Beliefs Among Individual Investors, Financial Executives, and Academics
- 6.1 Individual Investors
- 6.2 The Expectations of Academic Economists
- 6.3 Financial Executives
- 6.4 Summary
- 7 Representativeness and Heterogeneity in the Judgments of Professional Investors
- 7.1 Contrasting Predictions: How Valid?
- 7.2 Update to Livingston Survey
- 7.3 Individual Forecasting Records
- 7.4 Gambler's Fallacy
- 7.5 Why Heterogeneity Is Time Varying
- 7.6 Summary
- Part III
- Developing Behavioral Asset Pricing Models
- 8 A Simple Asset Pricing Model with Heterogeneous Beliefs
- 8.1 A Simple Model with Two Investors
- 8.2 Equilibrium Prices
- 8.3 Fixed Optimism and Pessimism
- 8.4 Incorporating Representativeness
- 8.5 Summary
- 9 Heterogeneous Beliefs and Inefficient Markets
- 9.1 Defining Market Efficiency
- 9.2 Market Efficiency and Logarithmic Utility
- 9.3 Equilibrium Prices as Aggregators
- 9.4 Market Efficiency: Necessary and Sufficient Condition
- 9.5 Interpreting the Efficiency Condition
- 9.6 Summary
- 10 A Simple Market Model of Prices and Trading Volume
- 10.1 The Model
- 10.2 Analysis of Returns
- 10.3 Analysis of Trading Volume
- 10.4 Example
- 10.5 Arbitrage
- 10.6 Summary
- 11 Efficiency and Entropy: Long-Run Dynamics
- 11.1 Introductory Example
- 11.2 Entropy
- 11.3 Numerical Illustration
- 11.4 Markov Beliefs
- 11.5 Heterogeneous Time Preference, Entropy, and Efficiency
- 11.6 Entropy and Market Efficiency
- 11.7 Summary
- Part IV
- Heterogeneity in Risk Tolerance and Time Discounting
- 12 CRRA and CARA Utility Functions
- 12.1 Arrow-Pratt Measure
- 12.2 Proportional Risk
- 12.3 Constant Relative Risk Aversion
- 12.4 Logarithmic Utility
- 12.5 CRRA Demand.