by Cheung Chan-Wah. / Thesis (M.B.A.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 80-86). / ABSTRACT --- p.ii / TABLF OF CONTENTS --- p.iii / LIST OF TABLES --- p.iv / ACKNOWLEDGMENTS --- p.v / Chapter / Chapter I --- INTRODUCTION l --- p.1 / Chapter II. --- REVIEW OF LITERATURE --- p.7 / Chapter III. --- METHODOLOGY。 --- p.16 / Summary Statistics --- p.16 / Correlation --- p.21 / GARCH Estimation --- p.22 / Chapter IV. --- NATIONAL MARKET INDEX AND DATA --- p.31 / National Stock Indices and Trading Mechanisms --- p.31 / Stock Return Data and Data Transformation --- p.34 / Chapter V. --- EMPIRICAL RESULTS --- p.37 / Summary Statistics --- p.37 / Cross-Correlation --- p.45 / GARCH Estimation --- p.51 / Chapter VI. --- SUMMARY AND CONCLUSION --- p.75 / BIBLIOGRAPHY --- p.80

Lau Yuk Hoi. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 109-110). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iii / Table of Contents --- p.iv / List of Notations --- p.vi / List of Propositions --- p.vii / List of Figures --- p.viii / List of Appendices --- p.x / Chapter Chapter 1. --- Introduction - The Reaction Approach --- p.1 / Chapter Chapter 2. --- Assumption for OLG Model --- p.7 / Chapter 2.1 --- Assumption A --- p.7 / Chapter Chapter 3. --- Equilibrium Conditions Without Fundamental Risk --- p.9 / Chapter 3.1 --- Price as a Weighted Average --- p.9 / Chapter 3.2 --- Determination of A and B --- p.11 / Chapter 3.2.1 --- Assumption B --- p.12 / Chapter 3.2.2 --- RE Line and NE Line --- p.13 / Chapter 3.2.3 --- Equilibrium values of A and B --- p.14 / Chapter 3.3 --- Rational Expectation on Price Variance (RV Line) --- p.16 / Chapter 3.4 --- Noisy Expectation on Price Variance (NV Line) --- p.18 / Chapter 3.4.1 --- DeLong's Model --- p.19 / Chapter 3.4.2 --- Bhushan's Model --- p.21 / Chapter 3.5 --- Change in Relative Perceived Variance --- p.23 / Chapter 3.5.1 --- General Problem of OLG Model in Noisy Trading --- p.23 / Chapter 3.5.2 --- Changes in Noise Traders' Beliefs --- p.24 / Chapter 3.5.3 --- "Relative Perceived Price Variance of n, θ" --- p.25 / Chapter 3.5.3.1 --- "Effect of Increasing θ on Price Variance, dC/dθ" --- p.26 / Chapter 3.5.3.2 --- "Effect of Increasing θ on Expected Price Level, dp/dθ" --- p.27 / Chapter Chapter 4. --- Equilibrium Conditions With Fundamental Risk --- p.31 / Chapter 4.1 --- Price as a Weighted Average --- p.32 / Chapter 4.2 --- Determination of A and B --- p.34 / Chapter 4.2.1 --- Assumption C --- p.34 / Chapter 4.2.2 --- RE Line and NE Line --- p.35 / Chapter 4.2.3 --- Equilibrium values of A and B --- p.36 / Chapter 4.3 --- Rational Expectation on return Variance (RV Line) --- p.37 / Chapter 4.4 --- Noisy Expectation on Return Variance (NV Line) --- p.40 / Chapter 4.4.1 --- De Long's Model --- p.41 / Chapter 4.4.2 --- Bhushan's Model --- p.42 / Chapter 4.5 --- Change in Relative Perceived Return Variance --- p.45 / Chapter 4.5.1 --- Specification of Noisy Expectation --- p.46 / Chapter 4.5.2 --- Relative Perceived Return Variance of n，Θ --- p.46 / Chapter 4.5.2.1 --- "Effect of Increasing Θ on Price Variance, dC/dΘ" --- p.47 / Chapter 4.5.2.2 --- "Effect of Increasing Θ on Expected Price Level, dp/dΘ" --- p.48 / Chapter 4.6 --- Relative Perceived Price Risk versus Relative Perceived Dividend Risk --- p.52 / Chapter Chapter 5. --- Conclusion and Discussion --- p.55 / Figures --- p.58 / Appendices --- p.86 / References --- p.109

"August 1998" Bibliography: leaves 74-78. The relationship between the returns to a stock, and ratio of book equity to market equity of the firm, are tested for the Australian stock market, and statistically significant evidence is found in support if the :book to market effect". Several tests are performed to determine whether this return premium is the result of additional risk or market inefficiency. No evidence is found to suggest that high book-to-market stocks are associated with additional risk, and only weak evidence is found to suggest that return premium is a result of investor over-reaction. An alternative explanation IS offered, relying on the dynamic behavior of firms and the process by which investors value the stocks of these firms.

Wu Haijun. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 45-48). / Abstracts in English and Chinese. / Abstract --- p.ii / Acknowledgement --- p.iv / Chapter Chapter 1. --- Introduction --- p.1 / Chapter Chapter 2. --- Literature Review --- p.4 / Chapter 2.1. --- The Fisher Hypothesis --- p.4 / Chapter 2.2. --- International Fisher Equation --- p.11 / Chapter Chapter 3. --- Theoretical Basis on The Link Between Stock Return Differential and Inflation Rate Differential --- p.15 / Chapter Chapter 4. --- Data Description --- p.19 / Chapter Chapter 5. --- Results --- p.23 / Chapter 5.1. --- Does The Generalized Fisher Hypothesis Hold In The Long Horizons --- p.24 / Chapter 5.2. --- Does International Fisher Equation Hold --- p.29 / Chapter 5.3. --- Can International Elements Account For The Failure of Fisher Hypothesis --- p.36 / Chapter Chapter 6. --- Conclusion --- p.43 / Bibliography --- p.45 / Appendix A --- p.49 / Chapter A.1. --- The link between interest rate differential and inflation rate differential --- p.49 / Chapter A.2. --- Instrumental Variable Estimation --- p.53 / Appendix B --- p.59 / Chapter B.1. --- Hong Kong CPI(A) Source --- p.59 / Chapter B.2. --- Taiwan CPI Source --- p.61 / LIST OF TABLES / Table 4.1: Data Description --- p.21 / Table 4.2: Means and Standard Deviations of Inflation and Stock Returns --- p.22 / Table 5.1: Short-term (One Year) Test on Fisher Hypothesis on Stock Returns --- p.26 / Table 5.2: Long-term (Five Years) Test on Fisher Hypothesis on Stock Returns --- p.27 / Table 5.3: Long-term (Ten Years) Test on Fisher Hypothesis on Stock Returns --- p.30 / Table 5.4: Short-term (One Year) Test For International Fisher Equation on Stock Returns --- p.33 / Table 5.5: Long-term (Five Years) Test For International Fisher Equation on Stock Returns --- p.34 / Table 5.6: Long-term (Ten Years) Test For International Fisher Equation on Stock Returns --- p.35 / Table 5.7: Testing Effects of International Elements on The Fisher Hypothesis --- p.39 / Table 5.8: Regression Results For The Coefficients of Domestic Inflation With and Without International Elements --- p.40

Mak Wing Hei. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 50-52). / Abstracts in English and Chinese. / ABSTRACT --- p.1 / 摘要 --- p.2 / ACKNOWLEDGEMENTS --- p.3 / TABLE OF CONTENTS --- p.4 / Chapter CHAPTER 1 --- INTRODUCTION & LITERATURE REVIEW --- p.6 / Chapter CHAPTER 2 --- DATA DESCRIPTION --- p.12 / Chapter 2.1 - --- Coverage and Sources --- p.12 / Chapter 2.2 - --- Match Accounting Data with Stock Returns --- p.12 / Chapter 2.3 - --- Selection Rule --- p.13 / Chapter 2.4 - --- Choice of the Threshold Variables Z --- p.14 / Chapter CHAPTER 3 --- THE MODEL --- p.15 / Chapter 3.1 - --- Estimating excess returns & Betas --- p.15 / Chapter 3.2- --- Estimating Threshold Effects --- p.17 / Chapter 3.3 - --- Testing the Number of Threshold Variables --- p.19 / Chapter 3.4 - --- Estimating Threshold values --- p.21 / Chapter CHAPTER 4 --- PRELIMINARY OBSERVATIONS --- p.21 / Chapter 4.1 - --- Excess Returns --- p.21 / Chapter 4.2 - --- "Relationship between Beta, Market Size and Book-to-Market Equity" --- p.24 / Chapter CHAPTER 5 --- ESTIMATION RESULTS OF THE THRESHOLD MODEL --- p.35 / Chapter 5.1 - --- Number of Threshold Variables --- p.35 / Chapter 5.2- --- Threshold Value Estimates --- p.39 / Chapter 5.3- --- The “and´ح case and “or´حcase --- p.40 / Chapter 5.4 - --- Comparison with OLS --- p.45 / Chapter CHAPTER 6 --- CONCLUSION --- p.48 / REFERENCES --- p.50

Sen Sui. / Thesis submitted in: August 2003. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 88-92). / Abstracts in English and Chinese. / Abstract --- p.ii / Acknowledgement --- p.iv / Dedication --- p.v / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation and Objective --- p.1 / Chapter 1.2 --- Contributions --- p.4 / Chapter 1.3 --- Thesis Organization --- p.5 / Chapter 2 --- Background of Risk Management --- p.7 / Chapter 2.1 --- Measuring Return --- p.8 / Chapter 2.2 --- Objectives of Risk Measurement --- p.11 / Chapter 2.3 --- Simple Statistics for Measurement of Risk --- p.15 / Chapter 2.4 --- Methods for Value-at-Risk Measurement --- p.16 / Chapter 2.5 --- Conditional VaR --- p.18 / Chapter 2.6 --- Portfolio VaR Methods --- p.18 / Chapter 2.7 --- Coherent Risk Measure --- p.20 / Chapter 2.8 --- Summary --- p.22 / Chapter 3 --- Selection of Independent Factors for VaR Computation --- p.23 / Chapter 3.1 --- Mixture Convolution Approach Restated --- p.24 / Chapter 3.2 --- Procedure for Selection and Evaluation --- p.26 / Chapter 3.2.1 --- Data Preparation --- p.26 / Chapter 3.2.2 --- ICA Using JADE --- p.27 / Chapter 3.2.3 --- Factor Statistics --- p.28 / Chapter 3.2.4 --- Factor Selection --- p.29 / Chapter 3.2.5 --- Reconstruction and VaR Computation --- p.30 / Chapter 3.3 --- Result and Comparison --- p.30 / Chapter 3.4 --- Problem of Using Kurtosis and Skewness --- p.40 / Chapter 3.5 --- Summary --- p.43 / Chapter 4 --- Mixture of Gaussians and Value-at-Risk Computation --- p.45 / Chapter 4.1 --- Complexity of VaR Computation --- p.45 / Chapter 4.1.1 --- Factor Selection Criteria and Convolution Complexity --- p.46 / Chapter 4.1.2 --- Sensitivity of VaR Estimation to Gaussian Components --- p.47 / Chapter 4.2 --- Gaussian Mixture Model --- p.52 / Chapter 4.2.1 --- Concept and Justification --- p.52 / Chapter 4.2.2 --- Formulation and Method --- p.53 / Chapter 4.2.3 --- Result and Evaluation of Fitness --- p.55 / Chapter 4.2.4 --- Evaluation of Fitness using Z-Transform --- p.56 / Chapter 4.2.5 --- Evaluation of Fitness using VaR --- p.58 / Chapter 4.3 --- VaR Estimation using Convoluted Mixtures --- p.60 / Chapter 4.3.1 --- Portfolio Returns by Convolution --- p.61 / Chapter 4.3.2 --- VaR Estimation of Portfolio Returns --- p.64 / Chapter 4.3.3 --- Result and Analysis --- p.64 / Chapter 4.4 --- Summary --- p.68 / Chapter 5 --- VaR for Portfolio Optimization and Management --- p.69 / Chapter 5.1 --- Review of Concepts and Methods --- p.69 / Chapter 5.2 --- Portfolio Optimization Using VaR --- p.72 / Chapter 5.3 --- Contribution of the VaR by ICA/GMM --- p.76 / Chapter 5.4 --- Summary --- p.79 / Chapter 6 --- Conclusion --- p.80 / Chapter 6.1 --- Future Work --- p.82 / Chapter A --- Independent Component Analysis --- p.83 / Chapter B --- Gaussian Mixture Model --- p.85 / Bibliography --- p.88

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

published_or_final_version / Business / Doctoral / Doctor of Philosophy

by Sze Kin Wan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1998. / Includes bibliographical references (leaves 69-75). / Abstract also in Chinese. / ACKNOWLEDGMENTS --- p.iii / LIST OF TABLES --- p.iv / LIST OF ILLUSTRATIONS --- p.v / CHAPTER / Chapter ONE --- INTRODUCTION --- p.1 / Chapter TWO --- REVIEW OF THE LITERATURE --- p.7 / Stock Returns and Trading Volume / Volatility / Chapter THREE --- ECONOMETRIC ANALYSIS --- p.16 / Unit Root Tests / Lag Length Tests / Causality Detection between Two Series / ARCH Modelling / Chapter FOUR --- DATA AND ESTIMATION RESULTS --- p.34 / Data / Unit Root Test / Optimal Lag Length / Causality Detection / GARCH Modelling / Chapter FIVE --- CONCLUSION --- p.62 / APPENDIX --- p.67 / BIBLIOGRAPHY --- p.69 / ILLUSTRATIONS --- p.76

Wong, Kin Lung Keith. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (p. 127-131). / Abstracts in English and Chinese. / Abstract --- p.i / Thesis/Assessment Committee --- p.iii / Acknowledgement --- p.iv / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Background Studies --- p.5 / Chapter 2.1 --- Ultra-high Frequency Data Handling with Database Server --- p.5 / Chapter 2.1.1 --- Use of Database Server --- p.5 / Chapter 2.2 --- Ultra-high Frequency Data Treatments --- p.7 / Chapter 2.2.1 --- Cleaning of Data --- p.7 / Chapter 2.2.2 --- Matching of a Trade and Its Standing Quote --- p.13 / Chapter 2.3 --- Tick-by-tick Price Modeling --- p.15 / Chapter 2.3.1 --- Multivariate Linear Models --- p.15 / Chapter 2.3.2 --- Duration and Volume Handling --- p.16 / Chapter 2.3.3 --- VAR Model Selection Techniques --- p.20 / Chapter 2.3.4 --- Seasonality Handling --- p.24 / Chapter 3 --- Problem Definition and Framework --- p.27 / Chapter 3.1 --- Engle and Patton's Model --- p.27 / Chapter 3.2 --- Preparation of data --- p.31 / Chapter 3.3 --- Methods to Estimate Diurnal Adjustment Param- eters --- p.38 / Chapter 3.4 --- Transformation of the Model to Fit in VARX soft- wares --- p.40 / Chapter 3.5 --- Modification of the Model --- p.47 / Chapter 3.6 --- Estimating and Forecasting the Exogenous Vari- ables --- p.52 / Chapter 3.6.1 --- Modelling BUYt and SELLt --- p.52 / Chapter 3.6.2 --- Modelling DURt and VOLt --- p.53 / Chapter 3.6.3 --- Modelling k(t) --- p.56 / Chapter 3.6.4 --- Forecasting the Cross Terms and the Sum of Buys and Sells --- p.62 / Chapter 3.7 --- Forecasting with the Main Model --- p.64 / Chapter 4 --- Experimental Evaluation --- p.67 / Chapter 5 --- Conclusion --- p.73 / Chapter A --- Source and Data Information --- p.76 / Chapter B --- Model Estimation Results for (3.13) --- p.80 / Chapter C --- Model Forecasting Results for (3.13) and (3.2) --- p.102 / Bibliography --- p.127