Return to search

Improved estimation of Markowitz efficient portfolios.

Ng, Hon Yip. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (p. 79-83). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Basic Concepts in Portfolio Theory --- p.8 / Chapter 2.1 --- Statistical Model --- p.8 / Chapter 2.2 --- Mean-Variance Optimization --- p.9 / Chapter 2.3 --- The Efficient Frontier --- p.11 / Chapter 2.4 --- The Tangency Portfolio and The Capital Market Line --- p.13 / Chapter 2.5 --- Mathematical Formulation of Portfolio Optimization --- p.17 / Chapter 3 --- Derivation of The Improved Estimator --- p.29 / Chapter 4 --- Simulation Study --- p.40 / Chapter 4.1 --- Procedure of Simulation --- p.40 / Chapter 4.2 --- Simulation Results --- p.46 / Chapter 4.2.1 --- Zero Correlation --- p.47 / Chapter 4.2.2 --- Positive Correlations --- p.50 / Chapter 4.2.3 --- Negative Correlations --- p.52 / Chapter 5 --- Conclusion and Future Direction --- p.56 / Chapter A --- Simulation results for p = 200 --- p.58 / Chapter B --- Simulation results for p = 400 --- p.61 / Chapter C --- Simulation results for p = 500 --- p.64 / Chapter D --- Simulation results for p = 200 with negative correlations --- p.67 / Chapter E --- Simulation results for p = 400 with negative correlations --- p.71 / Chapter F --- Simulation results for p = 500 with negative correlations --- p.75 / Bibliography --- p.79

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_326372
Date January 2008
ContributorsNg, Hon Yip., Chinese University of Hong Kong Graduate School. Division of Risk Management Science.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, vii, 83 p. : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Page generated in 0.0626 seconds