No description available.

No / This study examines the changes in return comovement around the listing and delisting of stock option contracts. We show that newly option listed stocks experience an increase in comovement with a portfolio of option listed stocks and a decrease in comovement with the portfolio of non-optioned stocks. Similarly, stocks that undergo option delisting exhibit a decrease in comovement with option listed stocks and an increase in comovement with non-optioned stocks. We verify the reliability of our findings in several ways. A matched sample analysis suggests that our results are not driven by factors other than option listing and we find similar results using a calendar-time approach. Further analysis reveals that commonalities in option trading may induce the comovement in the option listed stocks. Overall, our evidence is consistent with the predictions of the category or habitat view of comovement.

Doctor of Philosophy / Department of Economics / Lance J. Bachmeier / Dong Li / For a unique sample of Israeli stocks that went public in the U.S. and then cross-listed in the home market, Tel Aviv Stock Exchange (TASE), this dissertation consists of three essays examining the dynamics of return spillovers and volume-return interactions across markets and the valuation effect around the event of cross-listing and delisting from the home market. In Chapter II, I investigate the role of trading volume in the information flow and return spillovers between the U.S. and Israeli markets. Findings suggest that the dynamics of volume-return interactions across markets can provide us with valuable information regarding future price movements, which can be a useful tool to predict future returns. I also find the home market to dominate the host market in pricing these stocks, which is consistent with the Home Bias hypothesis. In Chapter III, I analyze the impact of the event of cross-listing on stock returns and risk exposure. The behavior of abnormal returns around the cross-listing date implies that cross-listing in TASE is an effective mechanism in reducing market segmentation between the U.S. and the Israeli capital markets. Risk assessment following the cross-listing suggests a decline firms’ overall risk exposure, indicating a higher degree of integration between the two markets due to cross-listing. In Chapter IV, I evaluate changes in the cost-of-capital for Israeli firms after delisting voluntary from TASE, the home market, while maintaining their listing in the U.S., the host market. The results show a significant positive shift in U.S. and negative shift in Israeli market risk exposure after the delisting. These results indicate that firms delisting form their home market (TASE), face greater risk exposure, higher required returns on their stocks and, hence, higher cost-of-capital after delisting.

by Lui Man-wai, Erik, Szeto Fong-wa, Jenny. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 35-37). / ABSTRACT --- p.i / ACKNOWLEDGEMENT --- p.ii / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Chapter II. --- BACKGROUND OF THE HK WARRANTS MARKET --- p.2 / Chapter III. --- LITERATURE REVIEW --- p.6 / Chapter IV. --- METHODOLOGY --- p.11 / Data --- p.14 / Chapter V. --- EMPIRICAL RESULTS --- p.19 / Price Effect --- p.19 / Excess Return --- p.19 / Variance --- p.20 / Beta --- p.25 / Trading Volume --- p.26 / Chapter VI. --- CONCLUSIONS --- p.28 / Recommendations --- p.30 / APPENDIX --- p.34 / REFERENCES --- p.35

by Lau Chi-keung, Edward, Lee Chi Wing. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 49-51). / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.iii / LIST OF FIGURES --- p.v / LIST OF TABLES --- p.vi / ACKNOWLEDGEMENT --- p.viii / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Chapter II. --- WARRANTS AND WARRANT MARKET --- p.2 / General Issue of Warrants and Covered Warrants --- p.2 / Hong Kong Warrant Market --- p.3 / Chapter III. --- MULTIPLE COVERED WARRANT LISTING ISSUE --- p.6 / Chapter IV. --- LITERATURE REVIEW --- p.7 / Theoretical Reviews --- p.7 / Empirical Studies --- p.9 / Chapter V. --- METHODOLOGY --- p.13 / Data Selection --- p.13 / Analysis Method --- p.14 / Abnormal Return --- p.15 / Total Volatility --- p.16 / Systematic Risk --- p.16 / Trading Volume --- p.16 / Chapter VI. --- EMPIRICAL RESULTS --- p.18 / Abnormal Return --- p.18 / Systematic Risk --- p.20 / Total Volatility --- p.21 / Trading Volume --- p.24 / Chapter VII. --- DISCUSSION OF RESULTS --- p.30 / Abnormal Return --- p.31 / Total Volatility and Systematic Risk --- p.32 / Trading Volume --- p.35 / Chapter VIII. --- LIMITATIONS OF STUDY --- p.36 / Chapter IX. --- CONCLUSION --- p.39 / Chapter X. --- RECOMMENDATIONS --- p.40 / APPENDIX --- p.43 / List of Covered Warrants Issued from Jan 1989 to Dec 1992 --- p.43 / List of Covered Warrants in the Sample Set --- p.44 / Primary Result of Abnormal Return Analysis --- p.45 / Primary Result of Systematic Risk Analysis --- p.46 / Primary Result of Total Volatility Analysis --- p.47 / Primary Result of Trading Volume Analysis --- p.48 / BIBLIOGRAPHY --- p.49

by Chan Pak Man, Lee Kim Wai. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1997. / Incldues bibliographical references (leaves 59-62). / ABSTRACT --- p.iii / TABLES OF CONTENTS --- p.iv / Chapter CHAPTER I --- INTRODUCTION --- p.1 / Rationales of the Research --- p.1 / Outline of the Report --- p.3 / Chapter CHAPTER II --- BACKGROUND OF STOCK OPTIONS --- p.5 / Definition of a Stock Option --- p.5 / Differences from the Common Stock --- p.6 / Benefits of Stock Options --- p.6 / Overview of the Hong Kong Market --- p.8 / Chapter CHAPTER III --- OBJECTIVES --- p.9 / Chapter CHAPTER IV --- LITERATURE REVIEW --- p.11 / Theoretical Literature --- p.11 / Provision of investment choice --- p.11 / Efficient allocation of risk-bearing --- p.12 / Information efficiency --- p.13 / Destabilizing effect --- p.14 / Cross-effects --- p.14 / Empirical Evidence --- p.15 / Price effect --- p.15 / Volatility effect --- p.16 / Cross-effects on stocks --- p.18 / Chapter CHAPTER V --- METHODOLOGY --- p.20 / Data Collection --- p.20 / Statistical Analysis and Procedures --- p.21 / Chapter CHAPTER VI --- FINDINGS --- p.29 / Introduction Effects --- p.29 / Direct Price Effects (Options Listing) --- p.29 / Individual Stock Perspective --- p.29 / "Event Period (-20,+20)" --- p.29 / "Event Period (-10,+10)" --- p.31 / Average Excess Returns (Independent stocks) --- p.32 / "Event Period (-20,+20)" --- p.32 / "Event Period (-10,+10)" --- p.33 / Average Excess Returns (Equally-weighted portfolio) --- p.34 / "Event Period (-20,+20)" --- p.34 / "Event Period (-10,+10)" --- p.35 / Announcement Effects --- p.36 / Individual Stock Perspective --- p.36 / "Event Period (-20,+20)" --- p.36 / "Event Period (-10,+10)" --- p.38 / Average Excess Returns (Independent stocks) --- p.39 / "Event Period (-20,+20)" --- p.39 / "Event Period (-10,+10)" --- p.40 / Average Excess Returns (Equally-weighted portfolio) --- p.41 / Event Period (-20，+20) --- p.41 / "Event Period (-10,+10)" --- p.42 / Cross-effects --- p.43 / Volatility Effects --- p.45 / Chapter CHAPTER VI --- I DISCUSSION --- p.47 / Chapter CHAPTER VI --- II SUMMARY AND CONCLUSION --- p.53 / Chapter CHAPTER IX --- RECOMMENDATION --- p.57 / Chapter CHAPTER X --- BIBLIOGRAPHY --- p.59 / Chapter CHAPTER XI --- APPENDIX A --- p.63 / Announcement Effect for 21 days windows --- p.63 / Announcement Effect for 41 days windows --- p.68 / Listing Effect for 21 days windows --- p.73 / Listing Effect for 41 days windows --- p.78 / APPENDIX B --- p.83 / Table 6.1 --- p.83 / Table 6.2.1 --- p.84 / Table 6.2.2 --- p.85 / Table 6.2.3 --- p.86 / Table 6.2.4 --- p.87 / Table 6.3.1 --- p.88 / Table 6.3.2 --- p.89 / Table 6.3.3 --- p.90 / Table 6.3.4 --- p.91 / Table 6.4.1 --- p.92 / Table 6.4.2 --- p.93 / Table 6.4.3 --- p.94 / Table6.4.4 --- p.95 / Table6.5 --- p.96

Li, Li. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (leaves 34-36). / Abstracts in English and Chinese. / Chapter Chapter One --- Introduction --- p.1 / Chapter Chapter Two --- Methodology --- p.5 / Chapter Chapter Three --- Data --- p.9 / Chapter 3.1 --- Data Description --- p.9 / Chapter 3.2 --- Selection of Covariate --- p.13 / Chapter Chapter Four --- Empirical Analysis --- p.20 / Chapter 4.1 --- General Survival Analysis by Cox PH Model --- p.20 / Chapter 4.2 --- Competing Risk Analysis of Listed Firms --- p.24 / Chapter 4.3 --- Robustness Check --- p.28 / Chapter Chapter Five --- Conclusion --- p.30 / Appendix 1 --- p.32 / Appendix II --- p.33 / Reference --- p.34 / Tables --- p.37 / Figures --- p.58

Even though many stock markets in the world adopted involuntary cross-listing with minimal application procedures, the cross-listing literature has widely ignored this activity. The gap in the literature is critical to U.S. restaurant companies since the number of involuntary cross-listings has significantly increased during the last ten years, despite the corporations' decisions not to cross-list or to change strategies to eliminate cross-listings. Direct communication with those foreign-listed U.S. restaurants reveals that they are unaware of involuntary cross-listing. This research uncovers the phenomenon of U.S. restaurants' involuntary cross-listing with a focus on the Frankfurt Stock Exchange, in which a majority of U.S. restaurant shares have cross-listings. Specifically, the current dissertation provides trajectories of U.S. restaurant companies' cross-listing, discovers determinants of involuntary cross-listing that are specific to U.S. restaurant companies, and investigates the consequences of informational asymmetry in the U.S. and Germany, specifically the dynamics of stock prices in the two stock markets. The current dissertation finds that U.S. restaurant companies have widely chosen not to list their shares on foreign exchanges, while many of their shares are subject to involuntary cross-listing on the Frankfurt Stock Exchange by German financial institutions. This study also finds that German financial institutions consider U.S. restaurant companies' sizes, industry growth opportunities, and overall U.S. economic conditions. In addition, the current research finds that U.S. stock prices of U.S. restaurant companies lead the German stock prices of cross-listed U.S. restaurant firms. Empirical findings of this study have valuable theoretical, managerial, and regulatory implications. Theoretically, the research advances understanding of the economic consequences of involuntary cross-listing, to which the cross-listing literature has paid little attention. Specifically, this dissertation provides sharp insights into German financial institutions and German investors involved in the involuntary cross-listing. The current research also confirms the role of information asymmetry and trading volume on the dynamics of stock prices in multiple stock markets. Practically, this study's contribution to U.S. restaurant industry occurs through acknowledgement and evidence of the involuntary cross-listing phenomenon in which more and more U.S. restaurant companies unknowingly engage. The findings also prompt the Frankfurt Stock Exchange to reconsider their policies regarding involuntary cross-listing, and assist U.S. and German investors to understand better the dynamics of stock prices in both countries. / Business Administration/Strategic Management

published_or_final_version / Business Administration / Master / Master of Business Administration

Thesis submitted in fulfillment of the requirements for the degree of Master of Management in Finance & Investment in the Faculty of Commerce, Law and Management Wits Business School at the University of the Witwatersrand 2017 / There are 29 formal stock exchanges on the African continent with 23 based in sub-Saharan Africa. The pace and stage of stock market development has varied among most of the countries as only four stock markets have more than 50 listed stocks; five have at least 20 listed stocks; and the remaining 14 have less than 20 stocks. The Johannesburg Stock Exchange (JSE) stands out in Africa as by far the continent’s largest, most liquid and best regulated market and is home to some of the continent’s largest and most sophisticated companies. Cross listing refers to the listing of ordinary shares of a firm on an exchange other than the stock exchange in its registered jurisdiction. There are 24 JSE listed companies that have cross listed on other Sub-Saharan African stock exchanges. The bulk of these, (14), have cross listed on the Namibia Stock Exchange, 3 cross listed on Botswana Stock Exchange, 1 on the Nairobi Stock Exchange, 1 on the Ghanaian Stock Exchange, 3 on the Malawian Stock Exchange, 1 on the Zambian Stock Exchange and 1 on the Zimbabwean Stock Exchange. The study establishes the possible reasons and benefits of cross listing on other sub-Saharan exchanges for JSE listed companies. The study also provides insight into the possible effects, (financial as well as any others), of cross listing on other sub-Saharan African exchanges that a number of JSE listed entities have experienced. The study uses financial information collected from a public platform, (Sharedata), to compute financial ratio’s to determine the financial implications of the JSE companies cross listing on other sub-Saharan exchanges. The effects of cross listing on the JSE companies are then measured using latent growth curve modelling and a paired t test. The study concludes that there is no evidence to suggest that there are financial benefits for JSE listed companies to cross list on other sub-Saharan exchanges. The study further suggests that JSE listed companies should rather consider cross listing for qualitative reasons rather for any quantitative reasons. / MT2017