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Hybrid VAR, neural network, and evolutionary computation for predicting Asian Pacific market lead-lag dynamics.

by Ao, Sio Iong. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references. / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Overview --- p.2 / Chapter 1.2 --- Topics of this Study --- p.3 / Chapter 1.3 --- Econometric Analysis --- p.3 / Chapter 1.4 --- Computational Intelligence --- p.4 / Chapter 1.4.1 --- Overview --- p.4 / Chapter 1.4.2 --- Successful Cases of Applying CI in Time Series Analysis --- p.4 / Chapter 2 --- Background --- p.6 / Chapter 2.1 --- Market Descriptions --- p.6 / Chapter 2.1.1 --- Overview of the Markets --- p.6 / Chapter 2.2 --- VAR method --- p.10 / Chapter 2.2.1 --- Introduction --- p.11 / Chapter 2.2.2 --- Implementation of VAR by RATS --- p.12 / Chapter 2.2.3 --- Impulse Response Functions --- p.12 / Chapter 2.3 --- Neural Network --- p.14 / Chapter 2.3.1 --- Introduction --- p.14 / Chapter 2.3.2 --- Supervised vs Unsupervised learning --- p.15 / Chapter 2.3.3 --- Back-Propagation network --- p.15 / Chapter 2.4 --- Evolutionary Computation --- p.19 / Chapter 2.4.1 --- Motivation of Employing Evolutionary Computation --- p.19 / Chapter 2.4.2 --- Brief Description --- p.21 / Chapter 2.4.3 --- Genetic Algorithm --- p.21 / Chapter 3 --- Analysis of their Interdependence and SD --- p.23 / Chapter 3.1 --- Interdependence of the Asian Indices --- p.23 / Chapter 3.2 --- Forecasting Index Price with the Help of Neural Network --- p.26 / Chapter 3.3 --- Interdependence of the Standard Deviations of the Stock Indices --- p.28 / Chapter 3.4 --- Using the Neural Network to Make Forecasting of the Stan- dard Deviations --- p.29 / Chapter 3.5 --- Summary --- p.33 / Chapter 4 --- Forecasting Opening Prices --- p.34 / Chapter 4.1 --- Step 1: Identificating of the Interdependence of the Opening Price on Different Stock Indices by VAR --- p.36 / Chapter 4.2 --- Step 2: Using the Neural Network to Make Forecasting of the Opening Prices --- p.38 / Chapter 4.3 --- Summary --- p.39 / Chapter 5 --- Incorporating Correlated Markets --- p.41 / Chapter 5.1 --- Overview of the Markets from the Prespectives of VAR --- p.43 / Chapter 5.2 --- Investigation of the Correlations by VAR Method --- p.43 / Chapter 5.3 --- Prediction of the Market by Neural Network --- p.46 / Chapter 5.4 --- Hypothesis: the Correlations of the Markets Are Time-Dependent --- p.46 / Chapter 5.5 --- Testing this Hypothesis with Predictions by Neural Network . --- p.48 / Chapter 5.6 --- Summary --- p.51 / Chapter 5.7 --- F-tests Results on Different Periods of HK Markets --- p.51 / Chapter 6 --- Hybrid VAR-NN-EC System --- p.53 / Chapter 6.1 --- Introduction --- p.53 / Chapter 6.1.1 --- Overview of the Econometric Analysis of the Lead-Lag Relationship of Stock Markets --- p.54 / Chapter 6.1.2 --- Previous Results of Employing the Stand-alone Neural Network --- p.55 / Chapter 6.2 --- Working Mechanism of the Hybrid VAR-NN-EC --- p.56 / Chapter 6.3 --- Comparing Results from the VAR-NN-EC System --- p.58 / Chapter 6.4 --- Summary --- p.60 / Chapter 7 --- Hybrid System for Dual-Listing Indices --- p.61 / Chapter 7.1 --- Introduction --- p.61 / Chapter 7.2 --- HSI vs HSLRI --- p.62 / Chapter 7.2.1 --- HSI's Selection Criteria --- p.62 / Chapter 7.2.2 --- Hang Seng London Reference Index --- p.63 / Chapter 7.2.3 --- Motivation for the Study --- p.63 / Chapter 7.3 --- Data Descriptions --- p.64 / Chapter 7.4 --- Overviews of this Analysis System --- p.64 / Chapter 7.5 --- Results from the Simplified AR-NN System --- p.65 / Chapter 7.5.1 --- Regression Results --- p.66 / Chapter 7.5.2 --- NN Results --- p.67 / Chapter 7.6 --- Summary --- p.68 / Chapter 8 --- Using EC for Selecting Stock Experts --- p.70 / Chapter 8.1 --- Example of Evolutionary Computation --- p.71 / Chapter 8.2 --- Comparison of Results from the VAR-NN-EC System --- p.72 / Chapter 8.3 --- Summary --- p.73 / Chapter 9 --- Conclusion --- p.74 / Bibliography --- p.i

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324414
Date January 2003
ContributorsAo, Sio Iong., 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, 3, vi, 77, v leaves : ill. ; 30 cm.
CoverageAsia, Pacific Area
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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