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A downside risk analysis based on financial index tracking models.

Yu Lian. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 81-84). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Literature Review --- p.4 / Chapter 3 --- An Index Tracking Model with Downside Chance Risk Mea- sure --- p.12 / Chapter 3.1 --- Statement of the Model --- p.13 / Chapter 3.2 --- Efficient Frontier --- p.16 / Chapter 3.3 --- Application of the Downside Chance Index Tracking Model --- p.29 / Chapter 3.4 --- Chapter Summary --- p.34 / Chapter 4 --- Index Tracking Models with High Order Moment Downside Risk Measure --- p.35 / Chapter 4.1 --- Statement of the Models --- p.35 / Chapter 4.2 --- Mean-Downside Deviation Financial Index Tracking Model --- p.38 / Chapter 4.3 --- Chapter Summary --- p.45 / Chapter 5 --- Numerical Analysis --- p.45 / Chapter 5.1 --- Data Analysis --- p.45 / Chapter 5.2 --- Experiment Description and Discussion --- p.48 / Chapter 5.2.1 --- Efficient Frontiers --- p.48 / Chapter 5.2.2 --- Monthly Expected Rate of Return --- p.50 / Chapter 5.3 --- Chapter Summary --- p.52 / Chapter 6 --- Summary --- p.54 / Chapter A --- List of Companies --- p.57 / Chapter B --- Graphical Result of Section 5.2.1 --- p.61 / Chapter C --- Graphical Result of Section 5.2.2 --- p.67 / Chapter D --- Proof in Chapter 3 and Chapter4 --- p.73 / Bibliography --- p.81

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324301
Date January 2003
ContributorsYu, Lian., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, ix, 84 leaves : 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/)

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