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研究生: 李修全
Hsiu-chuan Lee
論文名稱: 股票收盤集合競價與期貨價格行為
The Stock Closing Call and Futures Price Behavior
指導教授: 黃彥聖
Yen-sheng Huang
口試委員: 俞海琴
Hai-chin Yu
周賢榮
Shyan-rong Chou
張琬喻
Woan-yuh Jang
劉代洋
Day-yang Liu
林丙輝
Bing-huei Lin
吳桂燕
Kuei-yen Wu
學位類別: 博士
Doctor
系所名稱: 管理學院 - 企業管理系
Department of Business Administration
論文出版年: 2007
畢業學年度: 95
語文別: 英文
論文頁數: 91
中文關鍵詞: 股票收盤集合競價期貨價格行為
外文關鍵詞: Futures Price Behavior., Stock closing call
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本研究探討股票收盤集合競價的制度改變,如何影響期貨價格行為。2002年7月1日,台灣證券交易所將股票收盤集合競價的時間延長;現貨收盤的撮合,由約莫30秒增加為5分鐘。因此,本研究欲探討該交易制度的改變,如何影響期貨的價格行為。本研究採用Wilcoxon 檢定、一般化動差法 (Generalized Method of Moment, GMM)、自我迴歸條件異質變異模型 (Generalized Autoregressive Conditional Heteroskedasticity Model, GARCH Model) 進行實證分析。實證研究發現,撮合時間增加後,(1) 期貨日內價格的型態並未大幅變化,(2) 期貨市場的成交量與波動性型態在現貨市場收盤後有顯著的改變,(3) 利用最後5分鐘的現貨報酬預測期貨最後15分鐘的報酬能力增強,(4) 現貨收盤的價格較接近真實的價格,(5) 期貨收盤的價格較趨近真實的價格。


This study examines the behavior of futures prices around stock market close before and after changes to the batching period of the stock closing call. On July 1, 2002, the Taiwan Stock Exchange expanded the length of the batching period roughly tenfold, from an average of thirty seconds to five minutes. This change presents an opportunity to analyze how a stock closing method affects the behavior of index futures prices. This paper uses the Wilcoxon test, GMM (Generalized Method of Moment), and GARCH model (Generalized Autoregressive Conditional Heteroskedasticity model, GARCH model) to examine the impact of this change on futures price behavior. Empirical results indicate that intraday trading patterns in return volatility and trading volume for futures contracts appear to be U-shaped curves, and that an increase in the length of the batching period affects the return volatility and trading volume of index futures contracts around stock market close. Furthermore, pre-close stock returns have a great impact on extended futures returns when the batching period of the stock closing call is long. Finally, stock and futures closing prices have a tendency towards intrinsic values when the batching period is long.

Chinese Abstract I English Abstract II Acknowledgments III Table of Contents V List of Tables VI List of Figures VII Chapter 1 Introduction 1 1.1 Background to the research 1 1.2 Motives and Purposes 3 1.3 Outline of the Dissertation 5 Chapter 2 Literature Review 6 2.1 Stock Price Behavior under Call and Continuous Auctions 6 2.2 Stock Closing Call and Stock Price Behavior 12 2.3 Intraday Pattern of Futures Prices 16 2.4 Comments on Previous Research 22 Chapter 3 Institutional Background and Research Design 23 3.1 Institutional Background 23 3.2 Hypotheses 26 3.4 Measurement of Variables 30 3.4 Regression Models 32 Chapter 4 Empirical Results 39 4.1 Intraday Futures Price Behavior 39 4.2 Futures Price Behavior around Stock Market Close 46 4.3 The Impact of Pre-Close Stock Returns on Extended Futures Returns 52 4.4 Pricy Efficiency: Stock and Futures Closing Prices 59 4.5 Discussion 62 Chapter 5 Conclusion and Future Research 65 5.1 Conclusion 65 5.2 Contributions, Implications, and Future Research 68 References 71 Appendix 1 The Results for Unit-Root Tests 77 Appendix 2 The OLS Results for the Impact of Pre-Close Stock Returns on Extended Futures Returns 88 About the Author 91

1. Admati, A. R. and P. Pfleiderer, 1988, “A theory of intraday patterns: volume and price variability,” Review of Financial Studies 1, 3-40.
2. Aitken, M., C. Comerton-Forde, and A. Frino, 2005, “Closing call auctions and liquidity,” Accounting and Finance 45, 501-518.
3. Amihud, Y. and H. Mendelson, 1987, “Trading mechanisms and stock returns: an empirical investigation, Journal of Finance 42, 533-553.
4. Amihud, Y. and H. Mendelson, 1996, “A new approach to the regulation of trading across securities markets,” New York University Law Review 71, 1411-1466.
5. Amihud Y., H. Mendelson, and B. Lauterbach, 1997, “Market microstructure and securities values: evidence from the Tel Aviv Stock Exchange,” Journal of Financial Economics 45, 365-390.
6. Biais, B., L. Glosten, and C. Spatt, 2005, “Market microstructure: a survey of microfoundations, empirical results, and policy implications,” Journal of Financial Markets 8, 217-264.
7. Brennan, M. J. and H. H. Cao, 1996, “Information, trade, and derivative securities,” Review of Financial Studies 9, 163-208.
8. Brock, W. A. and A. W. Kleidon, 1992, “Periodic market closure and trading volume: a model of intraday bids and asks,” Journal of Economic Dynamics and Control 16, 451-489.
9. Chan, K., Y. P. Chung, and H. Johnson, 1995, “The intraday behavior of bid-ask spreads for NYSE stocks and CBOE options,” Journal of Financial and Quantitative Analysis 30, 329-346.
10. Chan, Y. C., 2005, “Who trades in the stock index futures market when the underlying cash market is not trading?” Pacific-Basin Finance Journal 13, 547-561.
11. Chang, E. C., P. C. Jain, and P. R. Locke, 1995, “Standard & Poor’s index futures volatility and price changes around the New York Stock Exchange close,” Journal of Business 68, 61-84.
12. Chang, R. P., S. T. Hsu, N. K. Huang, and S. G. Rhee, 1999, “The effects of trading methods on volatility and liquidity: evidence from the Taiwan Stock Exchange,” Journal of Business Finance and Accounting, 26, 137-170.
13. Chelley-Steeley, P., 2001, “Opening returns, noise, and overreaction,” Journal of Financial Research, 24, 513-521.
14. Chelley-Steeley, P., 2005, “Explaining volatility and serial correlation in opening and closing returns: a study of the FT-30 components,” Global Finance Journal 16, 1-15.
15. Cheng, L. T. W., L. Jiang, and R. W. Y. Ng, 2004, “Information content of extended trading for index futures,” Journal of Futures Markets 24, 861-886.
16. Comerton-Forde, C., S. T. Lau, and T. McInish, 2007, “Opening and closing behavior following the introduction of call auctions in Singapore,” Pacific-Basin Finance Journal 15, 18-35.
17. Comerton-Forde, C. and J. Rydge, 2006, “The current state of Asia-Pacific stock exchanges: a critical review of market design,” Pacific-Basin Finance Journal 14, 1-32.
18. Daigler, R. T., 1997, “Intraday futures volatility and theories of market behavior,” Journal of Futures Markets 17, 45-74.
19. Dickey, D. and W. A. Fuller, 1979, “Distribution of the estimates for autoregressive time series with a unit root,” Journal of the American Statistical Association 74, 427-431.
20. Dickey, D. and W. A. Fuller, 1981, “Likelihood ratio statistics for autoregressive time series with a unit root,” Econometrica 49, 1057-1072.
21. Easley, D., N. M. Kiefer, M. O’Hara, and J. B. Paperman, 1996, “Liquidity, information, and infrequently traded stocks,” Journal of Finance 51, 1405-1436.
22. Ekman, P. D., 1992, “Intraday patterns in the S&P 500 index futures markets,” Journal of Futures Markets 12, 365-381.
23. Enders, W., 2004, Applied econometric time series, New York: John Wiley & Sons.
24. Fong, K. and A. Frino, 2001, “Stock market closure and intraday stock index futures market volatility: “Contagion”, bid-ask bias or both?” Pacific-Basin Finance Journal 9, 219-232.
25. Foster, F. D. and S. Viswanathan, 1990, “The theory of interday variations in volume, variance, and trading costs in securities markets,” Review of Financial Studies 3, 593-624.
26. Foster, F. D. and S. Viswanathan, 1993, “Variations in trading volume, return volatility, and trading costs: evidence on recent price formation models,” Journal of Finance 48, 187-211.
27. French, K. R. and R. Roll, 1986, “Stock returns variances: the arrival of information and reaction of traders, Journal of Financial Economics 17, 5-26.
28. Garman, M. and M. Klass, 1980, “On the estimation of security price volatilities from historical data,” Journal of Business 53, 67-78.
29. Hansen, L. P., 1982, “Large sample properties of generalized method of moments estimators,” Econometrica 50, 1029-1054.
30. Henke, H. and B. Lauterbach, 2005, “Firm-initiated and exchange-initiated transfers to continuous trading: evidence from the Warsaw Stock Exchange,” Journal of Financial Markets 8, 310-324.
31. Hillion, P. and M. Suominen, 2004, “The manipulation of closing prices,” Journal of Financial Markets 7, 351-375.
32. Ho, R. Y. K. and R. S. K. Lee, 1998, “Market closure effects on return, volatility, and turnover patterns in the Hong Kong index futures market,” Journal of International Financial Markets, Institutions and Money 8, 433-451.
33. Huang, Y. S., D. Y. Liu, and T. W. Fu, 2000, “Stock price behavior over trading and non-trading periods: evidence from the Taiwan Stock Exchange,” Journal of Business Finance and Accounting 27, 575-602.
34. Huang, Y. C., 2002, “Trading activity in stock index futures markets: the evidence of emerging markets,” Journal of Futures Markets 22, 983-1003.
35. Jordan, J. V., W. E. Seale, S. J. Dinehart, and D. E. Kenyon, 1988, “The intraday variability of soybean futures prices: information and trading effects,” Review of Futures Markets 7, 96-108.
36. Kalay, A., L. Wei, and A. Wohl, 2002, “Continuous trading or call auctions: reveled preferences of investors at the Tel Aviv Stock Exchange,” Journal of Finance 57, 523-542.
37. King, M. A. and S. W. Wadhwani, 1990, “Transmission of volatility and between stock markets,” Review of Financial Studies 3, 5-33.
38. Lang, L. H. P. and Y. T. Lee, 1999, “Performance of various transaction frequencies under call markets: the case of Taiwan. Pacific-Basin Finance Journal 7, 23-39.
39. Lauterbach, B., 2001, “A note on trading mechanism and securities’ value: the analysis of rejects from continuous trade,” Journal of Banking and Finance 25, 419-430.
40. Lee, C. I. and I. Mathur, 1999, “The influence of information arrival on market microstructure: evidence from three related markets,” Financial Review 34, 1-26.
41. Madhavan, A., 1992, “Trading mechanisms in securities markets,” Journal of Finance 47, 607-641.
42. Madhavan, A., 2000, “Market microstructure: a survey,” Journal of Financial Markets 3, 205-258.
43. Merton, R. C., 1971, “Optimum consumption and portfolio rules in a continuous –time model,” Journal of Economic Theory 3, 373-413.
44. Muscarella, C. J. and M. S. Piwowar, 2001, “Market microstructure and securities values: evidence from the Paris Bourse,” Journal of Financial Markets 4, 209-229.
45. Pagano, M. and A. Röell, 1996, “Transparency and liquidity: a comparison of auction and dealer markets with informed trading,” Journal of Finance 51, 579-611.
46. Pagano, M. S. and R. A. Schwartz, 2003, “A closing call’s impact on market quality at Euronext Paris,” Journal of Financial Economics 68, 439-484.
47. Rhee, S. G. and C. J. Wang, 1997, “The bid-ask bounce effect and the spread effect size effect: evidence from the Taiwan stock market, Pacific-Basin Finance Journal, 5, 231-258.
48. Said, S. and D. Dickey, 1984, “Testing for unit roots in autoregressive-moving average models with unknown order,” Biometrica 71, 599-607.
49. Schnitzlein, C. R., 1996, “Call and continuous trading mechanisms under asymmetric information: an experimental investigation,” Journal of Finance 51, 613-636.
50. Theissen, E., 2000, “Market structure, informational efficiency and liquidity: an experimental comparison of auction and dealer markets,” Journal of Financial Markets 3, 333-363.
51. Theobald, M. and P. Yallup, 2004, “Determining security speed of adjustment coefficients,” Journal of Financial Markets 7, 75-96.
52. Theobald, M. and P. Yallup, 2005, “Intradaily volatility and adjustment,” Journal of International Financial Markets, Institutions and Money 25, 407-424.
53. Vayanos, D., 1999, “Strategic trading and welfare in a dynamic market. Review of Economics Studies 66, 219-254.
54. Wood, R. A., T. H. McInish, and J. K. Ord, 1985, “An investigation of transaction data for NYSE stocks,” Journal of Finance 40, 723-741.

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