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Dynamic efficiency, price volatility and margin policy: evidence from Hong Kong stock market and Hang Seng Index futures market.January 1994 (has links)
Wong Hau Man, Ben. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 85-89). / Abstract / Acknowledgment / Chapter Chapter 1. --- Introduction --- p.1 / Chapter Chapter 2. --- Introduction to the Hang Seng Index Futures Market --- p.9 / Chapter Chapter 3. --- Dynamic Efficiency --- p.17 / Chapter 3.1 --- The Potential Lead/Lag Relationship between the Stock Index Futures price and the Stock Index --- p.18 / Chapter 3.2 --- Empirical Evidence of the Lead/Lag Relationship -the US experience --- p.20 / Chapter 3.3 --- Granger and Engle's Error-Correction Model --- p.21 / Chapter 3.4 --- Error-Correction Model for the Hang Seng Index Futures Price and Hang Seng Index --- p.25 / Chapter 3.5 --- Simultaneous Error-Correction Model --- p.30 / Chapter Chapter 4. --- Price Volatility --- p.38 / Chapter 4.1 --- Why Volatility Matters --- p.38 / Chapter 4.2a --- Theoretical Foundation of the relationship between Futures Trading and Cash Market Volatility --- p.39 / Chapter 4.2b --- Empirical Evidence of Futures Trading and Cash Market Volatility - the US experience --- p.40 / Chapter 4.3 --- The Schwert Estimation Method --- p.42 / Chapter 4.4 --- Hang Seng Index Volatility and Cash Market Trading Volume --- p.47 / Chapter 4.5 --- Hang Seng Index Volatility and Futures Trading Activities --- p.48 / Chapter 4.6 --- Hang Seng Index Volatility and Contract Life Cycle --- p.50 / Chapter Chapter 5. --- Margin Policy --- p.56 / Chapter 5.1 --- The Economic Role of Futures Margin --- p.57 / Chapter 5.2a --- Theoretical Foundation of the relationship between Margin Requirement and Futures Volatility --- p.58 / Chapter 5.2b --- Empirical Evidence of Margin Requirement and Price Volatility --- p.59 / Chapter 5.3 --- HSI Futures Margin Requirement and Probability of Exhaustion --- p.61 / Chapter 5.4 --- HSI Futures Margin Requirement and HSI Futures Volatility --- p.64 / Chapter 5.4a --- Event-Study Approach --- p.64 / Chapter 5.4b --- Alternative Method --- p.66 / Chapter 5.5 --- HSI Futures Leverage and Price Volatility --- p.70 / Chapter Chapter 6. --- Conclusions --- p.81 / REFERENCES --- p.85 / APPENDIX 1. - Data Description --- p.90 / APPENDIX 2. - FIGURES --- p.92 / Chapter - --- Figure 1. Trend of HSI from May 86 to Dec93 --- p.93 / Chapter - --- Figure 2. Trend of HSI Futures Price from May 86 to Dec93 --- p.94 / Chapter - --- Figure 3. Volatility of HSI from May 86 to Dec93 --- p.95 / Chapter - --- Figure 4. HSI Futures Margin and Futures Volatility (Futures volatility is measured in daily change in contracts value) --- p.96
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Intra-day study on backwardation and contango of Hang Seng index futures prices: a spreader approach.January 1995 (has links)
by Lam Chi-keung, Wallace, Ng Kim-hung. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 41-44). / ABSTRACT --- p.iii / ACKNOWLEDGEMENTS --- p.iv / TABLE OF CONTENTS --- p.v / LIST OF TABLES --- p.vi / LIST OF FIGURES --- p.vii / LIST OF APPENDICES --- p.viii / CHAPTER / INTRODUCTION --- p.1 / DEVELOPMENT OF METHODOLOGY --- p.7 / cost-of-carry model --- p.7 / Stock Index Futures --- p.9 / Borrowing and Lending Rates --- p.12 / Transaction Costs --- p.13 / Calendar Spread in Stock Index Futures --- p.15 / Discrete Dividend --- p.15 / Futures Spread --- p.16 / SCOPE OF STUDY --- p.18 / Spread and Discrepancy --- p.18 / Trading Rule --- p.18 / Predicting Market Price by Equilibrium Futures Price --- p.21 / DATA --- p.22 / RESULTS --- p.26 / Descriptive Statistics --- p.26 / Stimulated Trading Rule --- p.27 / Regression Analysis --- p.28 / CONCLUSION AND DISCUSSION --- p.29 / APPENDIX --- p.31 / BIBLIOGRAPHY --- p.38
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Evaluation of hedging effectiveness of Hong Kong and U.S. stock index futures.January 2000 (has links)
by Wong Man Kit, Andy, Yu Miu Ki. / Thesis (M.B.A.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 53-54). / ABSTRACT --- p.ii / ACKNOWLEDGEMENT --- p.iii / TABLE OF CONTENTS --- p.iv / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Credit Risk --- p.2 / Operational risk --- p.3 / Liquidity risk --- p.3 / Legal risk --- p.3 / Market Risk --- p.3 / Model risk --- p.4 / Chapter II. --- LITERATURE REVIEW --- p.5 / Value at Risk (VaR) --- p.5 / Minimum Variance --- p.7 / Dollar equivalence --- p.8 / Statistical Hedging --- p.8 / Risk and Return in an Imperfect Hedge --- p.8 / Expected return and standard deviation in a hedged position --- p.9 / Risk and Return in an actual hedge --- p.11 / Optimal Hedge Ratio --- p.13 / Deriving Optimal Hedge Ratio h* --- p.15 / Computing the minimum risk hedge ratio by regression --- p.16 / Basis Risk --- p.18 / Sources of Basis Risk --- p.19 / Variation in the equilibrium price relationship between cash and futures --- p.19 / "Random ""noise"" in the price process" --- p.19 / Mismatch between cash position and the underlying for the future --- p.20 / Hedging Effectiveness --- p.21 / Chapter III. --- DATA AND METHODOLOGY --- p.25 / Data --- p.25 / Data Collection --- p.25 / Data Selection --- p.25 / Data Manipulation --- p.26 / Methodology --- p.27 / Part I: The Selection of the Portfolios --- p.27 / Part II: The Determination of the Hedge Ratio --- p.28 / Part III: Hedged vs. Unhedged --- p.29 / Part IV: Data Analysis & Comparison --- p.31 / Chapter IV. --- FINDINGS --- p.35 / High volatility of Hong Kong market --- p.35 / Manipulation of institutional investors --- p.36 / Hong Kong financial market are less mature --- p.36 / Less efficient information flow --- p.37 / Less Sophisticated Investors --- p.38 / Results and Discussion --- p.39 / Empirical Results --- p.40 / Explanation for the differences --- p.42 / Limitations --- p.47 / Learning Period --- p.47 / Cross Hedging --- p.47 / Mismatch between the futures and the underlying index --- p.48 / Missing Stock Data in the S&P500 --- p.49 / Chapter V. --- CONCLUSION --- p.50 / Tradeoff between risk and return --- p.50 / Hedge Effectiveness --- p.51 / BIBLIOGRAPHY --- p.53
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Price discovery of stock index with informationally-linked markets using artificial neural network.January 1999 (has links)
by Ng Wai-Leung Anthony. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 83-87). / Abstracts in English and Chinese. / Chapter I. --- INTRODUCTION --- p.1 / Chapter II. --- LITERATURE REVIEW --- p.5 / Chapter 2.1 --- The Importance of Stock Index and Index Futures --- p.6 / Chapter 2.2 --- Importance of Index Forecasting --- p.6 / Chapter 2.3 --- Reasons for the Lead-Lag Relationship between Stock and Futures Markets --- p.9 / Chapter 2.4 --- Importance of the lead-lag relationship --- p.10 / Chapter 2.5 --- Some Empirical Findings of the Lead-Lag Relationship --- p.10 / Chapter 2.6 --- New Approach to Financial Forecasting - Artificial Neural Network --- p.12 / Chapter 2.7 --- Artificial Neural Network Architecture --- p.14 / Chapter 2.8 --- Evidence on the Employment of ANN in Financial Analysis --- p.20 / Chapter 2.9 --- Hong Kong Securities and Futures Markets --- p.25 / Chapter III. --- GENERAL GUIDELINE IN DESIGNING AN ARTIFICIAL NEURAL NETWORK FORECASTING MODEL --- p.28 / Chapter 3.1 --- Procedure for using Artificial Neural Network --- p.29 / Chapter IV. --- METHODOLOGY --- p.37 / Chapter 4.1 --- ADF Test for Unit Root --- p.38 / Chapter 4.2 --- "Error Correction Model, Error Correction Model with Short- term Dynamics, and ANN Models for Comparisons" --- p.38 / Chapter 4.3 --- Comparison Criteria of Different Models --- p.39 / Chapter 4.4 --- Data Analysis --- p.39 / Chapter 4.5 --- Data Manipulations --- p.41 / Chapter V. --- RESULTS --- p.42 / Chapter 5.1 --- The Resulting Models --- p.42 / Chapter 5.2 --- The Prediction Power among the Models --- p.45 / Chapter 5.3 --- ANN Model of Input Variable Selection Using Contribution Factor --- p.46 / Chapter VI. --- CAUSALITY ANALYSIS --- p.54 / Chapter 6.1 --- Granger Casuality Analysis --- p.55 / Chapter 6.2 --- Results Interpretation --- p.56 / Chapter VII --- CONSISTENCE VALIDATION --- p.61 / Chapter VIII --- ARTIFICIAL NEURAL NETWORK TRADING SYSTEM --- p.67 / Chapter 7.1 --- Trading System Architecture --- p.68 / Chapter 7.2 --- Simulation Runs using the Trading System --- p.77 / Chapter XI. --- CONCLUSIONS AND FUTURE WORKS --- p.79
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Price discovery in Hong Kong futures markets.January 2005 (has links)
Choy Siu Kai. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 35-37). / Abstracts in English and Chinese. / Chapter Chapter 1 --- Introduction --- p.1-2 / Chapter Chapter 2 --- Literature Review --- p.3-9 / Chapter Chapter 3 --- An Overview of Hong Kong Security Market and Data Description --- p.10-18 / Chapter Chapter 4 --- Methodology --- p.19-24 / Chapter Chapter 5 --- Futures and Mini Futures Results --- p.25-28 / Chapter Chapter 6 --- Index and Futures Contracts Results --- p.29-32 / Chapter Chapter 7 --- Conclusion --- p.33-34 / References --- p.35-37 / Appendix --- p.38-40 / Tables --- p.41-52 / Graphs --- p.53-57
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