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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

The impact of macroeconomic factors on stock returns in China: a factor-augmented regression approach.

January 2010 (has links)
Li, Nasha. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (leaves 28-30). / Abstracts in English and Chinese. / Abstract --- p.i / 摘要 --- p.ii / ACKNOWLEDGEMENTS --- p.iii / Tables and Figures --- p.v / Chapter 1. --- Introduction --- p.1 / Chapter 2. --- Literature Review --- p.2 / Chapter 3. --- Factor-Augmented Regression Framework --- p.6 / Chapter 3.1 --- Estimation of latent factors --- p.8 / Chapter 3.2 --- Number of factors --- p.9 / Chapter 3.3 --- Interpretation of the factors --- p.11 / Chapter 4. --- Data --- p.12 / Chapter 5. --- Empirical Results --- p.13 / Chapter 5.1 --- Common factors --- p.13 / Chapter 5.2 --- Descriptive analysis --- p.16 / Chapter 5.3 --- Macroeconomic factors and excess returns predictability --- p.18 / Chapter 5.3.1 --- In-sample specifications --- p.18 / Chapter 5.3.2 --- Out-of-sample prediction performance --- p.24 / Chapter 6. --- Conclusion --- p.26 / Reference --- p.28 / Appendixes --- p.31 / Appendix I: Tables and Figures --- p.31 / Appendix II: Data --- p.52 / Appendix III: Calculation of the Fama-French three factors --- p.59
12

Real estate and stock returns are indeed correlated: evidence from Hong Kong micro data.

January 1999 (has links)
by Chan Tsun Kit. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 64-67). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgments --- p.iii / Table of Contents --- p.iv / List of Tables --- p.vi / List of Figures --- p.vii / List of Appendices --- p.viii / Chapter Chapter 1. --- Introduction --- p.1 / Chapter Chapter 2. --- Background --- p.4 / Chapter 2.1 --- The Importance of Real Estate Sector --- p.4 / Chapter 2.1.1 --- Employment Sector --- p.5 / Chapter 2.1.2 --- Investment Sector --- p.5 / Chapter 2.1.3 --- Banking Sector --- p.6 / Chapter 2.1.4 --- Government Sector --- p.6 / Chapter 2.2 --- Characteristics of the Real Estate Market --- p.7 / Chapter 2.3 --- Price Movement --- p.10 / Chapter 2.4 --- Major Developer --- p.13 / Chapter 2.4.1 --- Sun Hung Kai Properties --- p.15 / Chapter 2.5 --- Contribution of Real Estate Sector on Stock Market --- p.16 / Chapter 2.6 --- Connection between Real Estate and Stock Market --- p.17 / Chapter Chapter 3. --- Literature Review --- p.19 / Chapter Chapter 4. --- Methodology --- p.24 / Chapter 4.1 --- The Model --- p.24 / Chapter 4.2 --- Variables Used --- p.27 / Chapter 4.3 --- Sources of Data --- p.29 / Chapter Chapter 5. --- Empirical Findings --- p.30 / Chapter Chapter 6. --- Implication --- p.33 / Chapter Chapter 7. --- Limitation --- p.35 / Chapter Chapter 8. --- Conclusion --- p.37 / Tables --- p.39 / Figures --- p.48 / Appendices --- p.50 / Bibliography --- p.64
13

Mispricing of earnings components: empirical evidence from China. / CUHK electronic theses & dissertations collection / Digital dissertation consortium / ProQuest dissertations and theses

January 2003 (has links)
This study investigates whether earnings components are correctly priced by the Chinese investors. Under the Chinese GAAP, total earnings can be easily decomposed into core earnings and non-core earnings. Core earnings are more persistent than non-core earnings and cash flows from operations are more persistent than accruals, as expected. However, the market underestimates (overestimates) the value implications of current core (non-core) earnings for future earnings. Furthermore, the market overprices (underprices) accruals (cash flows from operations). Therefore, future returns adjusted for risk factors identified in this study are predictable by the information contained in the components of current earnings. Both the portfolio tests and regression analysis generate economically significant abnormal returns that are robust to sensitivity checks. Further analysis suggests that there is no significant difference in the extent of mispricing across firms with different characteristics such as transaction costs, arbitrage risks, investor sophistication, or firm size. This could be due to the measurement errors in the proxy variables for these characteristics. / Wu Donghui. / "July 2003." / Advisers: In-Mu Haw; James Xie. / Source: Dissertation Abstracts International, Volume: 64-07, Section: A, page: 2551. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (p. 121-130). / Available also through the Internet via Current research @ Chinese University of Hong Kong under title: Mispricings of earnings components empirical evidence from China. / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. Ann Arbor, MI : ProQuest dissertations and theses, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.
14

Volatility estimates of ARCH models.

January 2001 (has links)
Chung Kwong-leung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 80-84). / Abstracts in English and Chinese. / ACKNOWOLEDGMENTS --- p.iii / LIST OF TABLES --- p.iv / LIST OF ILLUSTRATIONS --- p.vi / CHAPTER / Chapter ONE --- INTORDUCTION --- p.1 / Chapter TWO --- LITERATURE REVIEW --- p.5 / Volatility / ARCH Models / The Accuracy of ARCH Volatility Estimates / Chapter THREE --- METHODOLOGY --- p.11 / Testing and Estimation / Simulation / Chapter FOUR --- DATA DESCRIPTION AND EMPIRICAL RESULTS --- p.29 / Data Description / Testing and Estimation Results / Simulation Results / Chapter FIVE --- CONCLUSION --- p.45 / TABLES --- p.49 / ILLUSTRATIONS --- p.58 / APPENDICES --- p.77 / BIBOGRAPHY --- p.80
15

Extreme value analysis of Hong Kong's stock market.

January 2000 (has links)
Kam Ying Chuen. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 81-83). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Overview of Hong Kong Stock Market --- p.3 / Chapter 2.1 --- Stock Exchange of Hong Kong --- p.3 / Chapter 2.2 --- Hang Seng Index --- p.4 / Chapter 2.3 --- Influences of the United States --- p.5 / Chapter 2.4 --- Hong Kong Government's Intervention --- p.6 / Chapter 3 --- Literature Review --- p.8 / Chapter 3.1 --- Stable and Student t Distributions --- p.8 / Chapter 3.2 --- Generalized Distribution --- p.10 / Chapter 3.3 --- Socio-economic Model --- p.11 / Chapter 3.4 --- Extreme Value Analysis --- p.11 / Chapter 4 --- Methodology --- p.14 / Chapter 4.1 --- Homogeneous Model --- p.15 / Chapter 4.2 --- Inhomogeneous Model --- p.15 / Chapter 4.3 --- Model Validity --- p.16 / Chapter 4.3.1 --- Exceedance Rate --- p.17 / Chapter 4.3.2 --- Distribution of Excesses --- p.17 / Chapter 4.3.3 --- Independence --- p.18 / Chapter 5 --- Data --- p.19 / Chapter 5.1 --- Minute-by-minute Returns --- p.20 / Chapter 5.2 --- Daily returns --- p.21 / Chapter 5.3 --- Explanatory Variables for the Inhomogeneous Model --- p.21 / Chapter 6 --- Empirical Results: Minute-by-minute Returns --- p.24 / Chapter 6.1 --- Shape Parameter k --- p.24 / Chapter 6.2 --- Location Parameter μ --- p.25 / Chapter 6.3 --- Scale Parameter σ --- p.26 / Chapter 6.4 --- Conditional Scale Parameter ψ --- p.27 / Chapter 6.5 --- Specification Test --- p.29 / Chapter 7 --- Empirical Results: Daily Returns --- p.29 / Chapter 7.1 --- Homogeneous Model --- p.30 / Chapter 7.2 --- Inhomogeneous Model --- p.31 / Chapter 7.2.1 --- Constant Term --- p.32 / Chapter 7.2.2 --- Dow Jones Industrial Average Returns --- p.33 / Chapter 7.2.3 --- Volatility Indicators --- p.34 / Chapter 7.2.4 --- Monday Dummy --- p.35 / Chapter 7.2.5 --- Time Trend --- p.36 / Chapter 7.2.6 --- Duration Dummy --- p.37 / Chapter 7.2.7 --- Indicator for the Behavior of the Previous Trading Day --- p.38 / Chapter 8 --- Conclusion --- p.39
16

Modeling and forecasting Hong Kong stock market return.

January 1999 (has links)
by Wong Hiu Ming. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 74-79). / Abstracts in English and Chinese. / ACKNOWLEDGMENTS --- p.iii / LIST OF TABLES --- p.iv / LIST OF ILLUSTRATIONS --- p.v / CHAPTER / Chapter ONE --- INTRODUCTION --- p.1 / Chapter TWO --- THE LITERATURE REVIEW --- p.5 / ARCH/GARCH Models / Nonparametric Method / Chapter THREE --- METHODOLOGY --- p.14 / ARCH Modeling / Semiparametric GARCH Modeling / Causality Test / Local Polynomial Model / Chapter FOUR --- DATA AND EMPIRICAL RESULTS --- p.37 / Data / GARCH Modeling / Semiparametric GARCH Modeling / Causality Test / Local Polynomial Model / Chapter FIVE --- CONCLUSION --- p.52 / TABLES --- p.56 / ILLUSTRATIONS --- p.62 / APPENDIX --- p.71 / BIBLIOGRAPHY --- p.74
17

Exchange rate variability and the riskiness of US multinational firms: evidence from the Asian turnmoil.

January 2001 (has links)
Chen Chen. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 122-129). / Abstracts in English and Chinese. / ABSTRACT --- p.ii / ACKNOWLEDGEMENT --- p.iv / TABLE OF CONTENTS --- p.v / LIST OF FIGURES --- p.vii / LIST OF TABLES --- p.viii / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Chapter 1.1 --- Introduction --- p.1 / Chapter 1.2 --- Objectives and Motivation --- p.5 / Chapter 1.3 --- The Asian Crisis --- p.9 / Chapter 1.4 --- Procedures and Findings --- p.18 / Chapter 1.5 --- Summary --- p.20 / Chapter II. --- LITERATURE REVIEW --- p.21 / Chapter 2.1 --- Definition and Determinants --- p.21 / Chapter 2.2 --- Measurement Model --- p.25 / Chapter 2.3 --- Exchange Rate Fluctuation and Market Value of the Firm --- p.28 / Chapter 2.3.1 --- Exchange Rate Fluctuation and Stock Return --- p.28 / Chapter 2.3.2 --- Some Problems of the Measurement Model --- p.31 / Chapter 2.4 --- Exchange Rate Fluctuation and Market Risk of the Firm --- p.42 / Chapter 2.5 --- Summary --- p.45 / Chapter III. --- HYPOTHESES,METHODOLOGY & DATA --- p.47 / Chapter 3.1 --- Hypotheses --- p.47 / Chapter 3.2 --- Research Design --- p.50 / Chapter 3.3 --- Sample Selection --- p.56 / Chapter 3.3.1 --- Selection of Sample Group --- p.56 / Chapter 3.3.2 --- Selection of Control Group --- p.61 / Chapter 3.3.3 --- Comparison of Two Groups --- p.62 / Chapter 3.4 --- Data and the Measurement of the Variables --- p.64 / Chapter 3.5 --- Summary --- p.67 / Chapter IV. --- EMPIRICAL RESULTS AND DISCUSSION --- p.68 / Chapter 4.1 --- Exchange Rate Variability and Stock Return Volatility --- p.68 / Chapter 4.2 --- Exchange Rate Variability and Market Risk --- p.81 / Chapter 4.3 --- Interpretations --- p.87 / Chapter 4.3.1 --- Phenomenon 1: Cost of Equity and Net Cash Flows --- p.89 / Chapter 4.3.2 --- Phenomenon 2: Increased Return Variability and the US Stock Market Return --- p.92 / Chapter 4.4 --- Alternative Explanation --- p.96 / Chapter 4.5 --- Summary --- p.99 / Chapter V. --- CONCLUDING REMARKS --- p.100 / APPENDICES / APPENDIX 1. Firm Lists --- p.105 / APPENDIX 2. Estimates of CAPM Betas --- p.115 / BIBLIOGRAPHY --- p.122

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