Return to search

Efficient estimation of risk measurement via regression and Stochastic Mesh method.

Xiong, Ying. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references (p. 52-54). / Abstracts in English and Chinese. / Abstract --- p.i / Abstract in Chinese --- p.ii / Acknowledgements --- p.iii / Contents --- p.iv / List of Figures --- p.vi / Chapter 1. --- Introduction --- p.1 / Chapter 1.1. --- Background and Objective --- p.1 / Chapter 1.1.1. --- Risk Measurement --- p.2 / Value-at-Risk --- p.2 / Expected Shortfall --- p.3 / Computing Method based on Simulation --- p.4 / Chapter 1.1.2. --- Monte-Carlo Simulation --- p.5 / Chapter 1.2. --- Literature Review --- p.6 / Chapter 1.3. --- Structure of This Thesis --- p.8 / Chapter 2. --- Problem Formulation and Review of Past Methods --- p.10 / Chapter 2.1. --- Problem Formulation and Basic Setting --- p.10 / Chapter 2.2. --- Risk Measurement --- p.11 / Chapter 2.3. --- Uniform Sampling --- p.15 / Chapter 2.3.1. --- MSE Estimator --- p.16 / Chapter 2.4. --- Sequential Sampling --- p.17 / Chapter 3. --- Methodology: Our Approach --- p.18 / Chapter 3.1. --- Least-Squares Monte-Carlo Approach --- p.18 / Chapter 3.1.1. --- Framework --- p.19 / Chapter 3.2. --- Stochastic Mesh Method in risk measurement --- p.21 / Chapter 3.2.1. --- Framework --- p.21 / Chapter 3.2.2. --- With a series of cash flows --- p.26 / Chapter 3.2.3. --- Derive Marginal Density and Transition Density --- p.27 / Chapter 4. --- Numerical Experiments --- p.29 / Chapter 4.1. --- Experimental Setting --- p.29 / Chapter 4.2. --- Bias Comparison --- p.31 / Chapter 4.3. --- MSE Comparison --- p.33 / Chapter 4.4. --- Modified Least Square method --- p.44 / Chapter 5. --- Conclusion --- p.47 / Chapter A. --- Appendix A --- p.49 / Chapter A.1. --- Proof of Theorem 3.1 --- p.49 / Chapter A.2. --- Proof of Theorem 3.2 --- p.51

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_327395
Date January 2011
ContributorsXiong, Ying., 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, 54 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 0.0021 seconds