Although there is no strict definition, the team “financial crisis” usually refers to an event in which the value of financial assets drops rapidly. The causes and consequences of different types of financial crisis could vary. The most recent global financial crisis happened in the year of 2008. The bursting of housing bubble in the U.S. and other countries caused the value of mortgage-related securities, created by financial institutions, to plummet. With governments' efforts to bailout banks, the collapse of global financial system was avoided. However, this crisis has resulted in unfortunate political and social turmoil. In 1910, a financial crisis happened in Shanghai, triggered by the bursting of rubber stock speculation bubble. Forty native banks (錢莊) in Shanghai, out of ninety-one, shut the doors by end of that year, attributed by global rubber material price fluctuation and the fraud in Shanghai capital market. As highly involved with stock speculation, several native banks incurred substantial losses, while the whole financial industry was encumbered with those native banks' insolvency, and then followed by the political and social turmoil, including the Xinhai Revolution (辛亥革命) in 1911. “The 1910 Financial Crisis in Shanghai” has been a popular topic. By further verifying historical materials, especially the articles on English and Chinese newspapers, this dissertation proves that some common understanding about the crisis cannot be re-affirmed. It is also proved that the modern economic model for financial crisis could be applied on the 1910 crisis in Shanghai. / published_or_final_version / Chinese Historical Studies / Master / Master of Arts

Ch. 1. Factor-augmented VAR analysis of the monetary policy in China -- Ch. 2. The time-varying volatillity of Chinese macroeconomic fluctuations. / Leung, Pak Ho. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references. / Abstracts in English and Chinese. / COVER PAGE --- p.1 / ACKNOWLEDGEMENT --- p.2 / TABLE OF CONTENTS --- p.4 / LIST OF FIGURES AND TABLES --- p.6 / ABSTRACT OF CHAPTER I --- p.9 / Chapter 1. --- INTRODUCTION --- p.11 / Chapter 2. --- FEATURES OF POST-CRISIS CHINESE MONETARY POLICY --- p.13 / Chapter 2.1. --- LIBERALIZATION OF CHINA'S MONETARY POLICY IN RECENT YEARS --- p.14 / Chapter 2.2. --- MONETARY POLICY INSTRUMENTS AND TRANSMISSION MECHANISMS --- p.14 / Chapter 2.3. --- EXCHANGE RATE REFORM AND MONETARY POLICY --- p.17 / Chapter 2.4. --- EFFECTS OF MONETARY POLICY ON INDUSTRIAL PRODUCTION AND INFLATION --- p.18 / Chapter 3. --- METHODOLOGY --- p.20 / Chapter 4. --- DATA DESCRIPTION --- p.22 / Chapter 5. --- EMPIRICAL RESULTS --- p.23 / Chapter 5.1 . --- ESTIMATION OF FAVAR WITH REPO RATE AS INSTRUMENT --- p.24 / Chapter 5.2. --- ESTIMATION OF FAVAR WITH BENCHMARK RATE AS INSTRUMENT --- p.25 / Chapter 5.3. --- ESTIMATION OF FAVAR WITH MONETARY FACTOR AS INSTRUMENT --- p.26 / Chapter 5.4. --- ESTIMATION OF FAVAR WITH TOTAL LOAN AS INSTRUMENT --- p.27 / Chapter 5.5. --- ESTIMATION OF FAVAR WITH M2 AS INSTRUMENT --- p.28 / Chapter 5.6. --- POLICY DISCUSSION --- p.29 / Chapter 6. --- CONCLUSIO N --- p.31 / Chapter 7. --- REFERENCE S --- p.32 / Chapter 8. --- APPENDIX --- p.36 / ABSTRACT OF CHAPTER II --- p.60 / Chapter 1. --- INTRODUCTION --- p.62 / Chapter 2. --- OVERVIEW OF CHINESE ECONOMIC PERFORMANCE --- p.64 / Chapter 2.1. --- VOLATILITY OF THE CHINESE MACROECONOMY --- p.64 / Chapter 2.2. --- TESTS OF PARAMETER STABILITY --- p.66 / Chapter 2.2. --- HYPOTHESIS OF ECONOMIC MODERATION --- p.67 / Chapter 3. --- FREQUENCY DOMAIN ANALYSIS --- p.69 / Chapter 3.1 --- ESTIMATION FRAMEWORK --- p.70 / Chapter 3.2. --- ESTIMATION RESULTS --- p.72 / Chapter 4. --- VECTOR AUTOREGRESSION ANALYSIS --- p.75 / Chapter 4.1 --- ESTIMATION RESULTS --- p.70 / Chapter 5. --- CONCLUSION --- p.78 / Chapter 6. --- REFERENCES --- p.80 / Chapter 7. --- APPENDIX --- p.84

漲跌停制度是一種意圖控制股市價格大幅波動的強制性政策。雖然漲跌停制度被很多國家都採用，但是關於該制度的效果的結論一直都是具有很大爭議性。除此之外，之前的一些研究還表明在不同國家的股票市場中，漲跌停制度的效果也是不一樣的。然而，作為一個獨特且年輕的股票市場，中國A股市場也擁有漲跌停制度，但是關於它的效果的研究卻很稀缺。其中，關於在特殊經濟狀況下，例如金融危機，漲跌停的效用基本上沒被研究過。這是一個很重要的研究課題，因為金融危機這種特殊經濟時期會引起股市的大幅波動，這正是漲跌停制度發揮作用也是我們研究其效果的最佳時機。因為以上原因，這篇論文的主題就是挖掘中國A股的漲跌停制度在金融危機時期的效果，我們希望檢驗是否金融危機引起的特殊市場氛圍會使漲跌停的效果與平常不同。我們將一種改進的關於漲跌停效果的經典方法應用於金融危機期間的股票交易數據上，來對三個假設（波動性溢出, 延遲價格發現和妨礙交易）進行檢驗。相比與之前的方法，我們進行了改進，主要是採用了以漲跌停價格收市和包含了連續漲跌停的數據。 / 此外，爲了更好滴瞭解漲跌停制度的效果，我們還對那些在金融危機期間容易漲跌停的股票研究其主要特點。在本論文中，我們除了引進每個股票的基本面指標，還引進了具有中國特色的因子，包括國有股份和行業等因子，通過廣義（GMM）的方法來進行分析。這些股票特徵希望能夠為於證監會將來制定漲跌停制度和投資者在金融危機期間于中國的投資提供一定信息。 / Price limit is a policy originally utilized to control extreme price movements in stock markets. As a widely adopted policy in numerous countries, price limit has led to several debates regarding its effects on stock markets. Moreover, previous studies have shown that price limit has different effects on different markets and time periods. However, the effects of the price limit system in the Chinese A-share market, a unique and young stock market, has yet to be fully investigated. Furthermore, few works have studied the price limit during special economic conditions, such as financial crises, which should be the best time for price limit to play its role. Additionally, these conditions are the most ideal times at which to test the effects of the price limit. Motivated by these conditions, this thesis explores the effects of price limits on the Chinese A-share stock markets during financial crises in order to examine whether the market atmosphere of investor sentiment caused by special economic conditions has varied impacts on the effects of price limits. By employing the recognized methods, this thesis aims to test the three hypotheses of volatility spillover, delayed price discovery, and trading interference using stock data during financial crisis. Compared with previous studies, this thesis empirically analyzes the effects of price limits with our improved methodology of utilizing closing-hitting observations. / To gain a better understanding of the price limit’s effect, this thesis also investigates the characteristics of stocks that hit the price limits more frequently under this special economic condition. In this study, the Generalized Method of Moments regression model is utilized by introducing financial indicators for each individual stock and some special factors in the Chinese A-share markets, such as state-owned share and industries. Identifying the characteristics of stocks that frequently hit the limit can provide some information to investors when financial crises occur in the Chinese A-share markets. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Wang, Dingyan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 54-55). / Abstracts also in Chinese. / Abstract --- p.3 / Acknowledgement --- p.6 / Chapter 1 --- Introduction --- p.11 / Chapter 1.1 --- Introduction --- p.11 / Chapter 2 --- Background --- p.16 / Chapter 2.1 --- Background of Chinese Stock Markets --- p.16 / Chapter 2.2 --- Literature Review --- p.19 / Chapter 3 --- Effects of Chinese A-Share Price Limits --- p.22 / Chapter 3.1 --- Data --- p.22 / Chapter 3.2 --- Improvement of Methodology --- p.25 / Chapter 3.3 --- Empirical Analysis --- p.26 / Chapter 3.3.1 --- Test of the Volatility Spillover Hypothesis --- p.27 / Chapter 3.3.2 --- Test of the Delayed Price Discovery Hypothesis --- p.36 / Chapter 3.3.3 --- Test of the Trading Interference Hypothesis --- p.38 / Chapter 4 --- Characteristics of Stocks that Hit the Limit --- p.46 / Chapter 4.1 --- Characteristics of Stocks that hit the limit during the Financial Crisis --- p.46 / Chapter 5 --- Conclusions --- p.52 / Chapter 5.1 --- Conclusions --- p.52 / Bibliography --- p.54

Cheung Wai Yin. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves [137]-141). / Abstracts in English and Chinese. / Abstract --- p.i-ii / Acknowledgements --- p.iii / Table of Contents --- p.iv-v / List of Tables --- p.vi / List of Figures --- p.vii-ix / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- Literature Review --- p.8 / Chapter 2.1 --- Studies of Inter-temporal Stability of Correlation --- p.9 / Chapter 2.2 --- Studies of Contagion --- p.14 / Chapter 2.2.1 --- Sample Splitting Approach --- p.15 / Chapter 2.2.2 --- Time Series Approach --- p.20 / Chapter 2.3 --- Studies of Correlation Asymmetry --- p.24 / Chapter 2.3.1 --- Semi-correlation Analysis --- p.25 / Chapter 2.3.2 --- Extreme Value Theory --- p.26 / Chapter 2.3.3 --- Regression Approach --- p.27 / Chapter 2.3.4 --- Others --- p.27 / Chapter Chapter 3 --- Data Description --- p.30 / Chapter 3.1 --- Economic Property Research Center (EPRC) Dataset --- p.30 / Chapter 3.2 --- Measurement of Housing Price --- p.33 / Chapter 3.3 --- Measurement of Trading Volume --- p.37 / Chapter Chapter 4 --- Methodology --- p.38 / Chapter Chapter 5 --- Empirical Results --- p.43 / Chapter 5.1 --- Overview of the Dataset --- p.43 / Chapter 5.2 --- Rolling Window Estimation --- p.45 / Chapter 5.2.1 --- Count of Correlation Coefficients in Each Window --- p.45 / Chapter 5.2.2 --- The Summary Statistics of Correlation Coefficients --- p.47 / Chapter 5.2.3 --- Correlation Distribution in Two Selected Windows --- p.53 / Chapter 5.2.4 --- Discussion and Some Further Evidence --- p.57 / Chapter 5.2.5 --- Within-group and Inter-group Correlations --- p.60 / Chapter 5.3 --- Correlation Asymmetry --- p.62 / Chapter 5.4 --- Does High Correlation in Rate of Return Imply High Correlation in Trading Volume? --- p.64 / Chapter 5.5 --- Robustness Check --- p.66 / Chapter Chapter 6 --- Conclusion --- p.73 / Appendix I A Summary of Hedonic Pricing Equation --- p.77 / Appendix II Illustration of Composition Effect --- p.79 / Appendix III A Summary of Calculating Correlation Coefficient --- p.81 / Appendix IV CLMX Variance Decomposition --- p.84 / Appendix V Tables --- p.87 / Appendix VI Figures --- p.94 / List of References --- p.137