Preface. 1. On the Measurement of Risk. 2. Expected Utility Theory. 3. Stochastic Dominance Decision Rules. 4. Stochastic Dominance: The Quantile Approach. 5. Algorithms for Stochastic Dominance. 6. Stochastic Dominance with Specific Distributions. 7. The Empirical Studies. 8. Applications of Stochastic Dominance Rules. 9. Stochastic Dominance and Risk Measures. 10. Stochastic Dominance and Diversification. 11. Decision Making and the Investment Horizon. 12. The CAPM and Stochastic Dominance. 13. Non-Expected Utility and Stochastic Dominance. 14. Future Research.
From the reviews of the second edition: "This book is an economics book about stochastic dominance. ... is certainly a valuable reference for graduate students interested in decision making under uncertainty. It investigates and compares different approaches and presents many examples. Moreover, empirical studies and experimental results play an important role in this book, which makes it interesting to read." (Nicole Bauerle, Mathematical Reviews, Issue 2007 d)
 |
Ask a Question About this Product More... |
|
