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Nonparametric regression-based pattern recognition method for stock price movements.

Poon, Ka Ho. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references (leaves 62-63). / Abstracts in English and Chinese. / Abstract of the thesis entitled --- p.ii / 摘要 --- p.iii / Acknowledgements --- p.iv / Chapter Section 1. --- Introduction --- p.1 / Chapter Section 2. --- Review of Useful Concepts --- p.4 / Chapter 2.1 --- Terms and Methodologies - Pattern Recognition --- p.4 / Chapter 2.1.1 --- Rolling Windows --- p.4 / Chapter 2.1.2 --- Smoothing Function - Kernel Regression --- p.5 / Chapter 2.1.3 --- Filtering Function ´ؤ Search for Extrema --- p.6 / Chapter 2.1.4 --- Filtering Function - The Pattern Detection Algorithm --- p.7 / Chapter 2.1.5 --- Risk-adjustment Model --- p.10 / Chapter Section 3. --- Data and Methodology --- p.12 / Chapter 3.1 --- Data --- p.12 / Chapter 3.2 --- Methodology --- p.12 / Chapter Section 4. --- Results --- p.17 / Chapter Section 5. --- Further Extension --- p.21 / Chapter Section 6. --- Discussions and Conclusion --- p.22 / APPENDIX 1 --- p.23 / References --- p.62

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_327334
Date January 2011
ContributorsPoon, Ka Ho., Chinese University of Hong Kong Graduate School. Division of Economics.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, v, 63 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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