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題名 Market Efficiency of Taiwan Index Futures Market
台灣指數期貨市場效率性-濾嘴法則之研究
作者 徐仕尚
Hsu,Shih Shang
貢獻者 郭維裕
徐仕尚
Hsu,Shih Shang
關鍵詞 台灣指數期貨
未平倉量
濾嘴法則
Taiwan Index Futures Market
Filter rules
momentum
open interest
Rollover
日期 2003
上傳時間 11-Sep-2009 17:09:24 (UTC+8)
摘要 本文採用1998年九月2日到2003九月30日的台灣指數期貨每日收盤價,總共1304筆資料。我們希望能藉由濾嘴法則以收盤價及交易量和未平倉量來衡量台灣指數期貨的效率性。而實證結果也證實可以藉由濾嘴法則濾除掉市場上的小波動,並進而預測出主要的價格趨勢。
This thesis adopts futures data, which are the daily closing prices of the Taiwan Stock Exchange Capitalization Weighted Stock Index futures contracts. The sample period is from September 2, 1998 to September 30, 2003, a total of 1304 transaction days. The goal we want to achieve is to test and verify the momentum by filter rules based on price and volume in the futures market in Taiwan. In addition, the open interest is substituted for the trading volume to exam its effect on the futures price. The empirical results show that we can predict the price trend as long as we employ an appropriate range value to filter out “the noise”.
參考文獻 Alexander, S., 1961, “Price Movements in Speculative Markets: Trends or Random Walks.” Industrial Management Review, 2, 7-26.
Berkowitz, A., D. Logue, and E. Noser, 1988, “The Total Costs of Transactions on the NYSE.” Journal of Finance, 43, 97-112.
Chan, L.,C., Jagadeesh , and J. Lakonishok, 1996,“Momentum strategies,” Journal of Finance, 51, 1681-1713.
Cooper, M., 1999, “Filter rules based on price and volume in individual security overreaction”, Review of Financial Studies, 12, 901-935.
DeBondt, M. Werner, and H. Thaler, 1987, “Further evidence on investor overreaction and stock market seasonality”, Journal of Finance, 42, 557-581.
DeBondt, M. Werner, and H. Thaler, 1985, “Does the stock market overreact?”, Journal of Finance, 40, 793-805.
Delong, B., A. Shleifer, L. Summers and R. Waldmann, 1990, “Positive Feedback Investment Strategies and destabilizing Rational Speculation”, Journal of Finance, 45, 379-395.
Fabozzi, F., C. Ma, W. Chittenden, and R. Pace, 1995, “Predicting intraday price reversals”, Journal of Portfolio Management, 21, 42-53.
Fama, F., 1991, “Efficient capital markets”, 11, Journal of Finance, 46, 1575-1617.
Fama, F., and M. Blume, 1966, “Filter Rules and Stock-Market Trading”, Journal of Business, 39,226-241
Fama, F., 1970, “Efficient Capital Markets: A Review of Theory and Empirical Work”, Journal of Finance, 25, 383-417.
Fama, F., and K. French, 1993, “Common risk factors in the returns on stocks and bonds”, Journal of Financial Economics 33, 3-56.
Givoly, D., and J. Lakonishok, 1979, “The information content of financial analysts’ forecasts of earnings: Some evidence on semi-strong inefficiency”, Journal of Accounting and Economics,1,165-185.
Grundy, K. and B. Malkiel, 1996, “Reports of beta’s death have been greatly exaggerated,” The Journal of Portfolio Management, 36-44.
Jegadeesh, N., 1990, “Evidence of predictable behavior of security returns”, Journal of Finance, 45, 881-898.
Jegadeesh, N., and S. Titman, 1993, “Returns to buying winners and selling losers: Implications for stock market efficiency” Journal of Finance, 48, 65–91.
Jegadeesh, N. and S. Titman, 1995,"Short-Horizon Return Reversals and the Bid-Ask Spread", Journal of Financial Intermediation, 4 ,116-133.
Jansen C., 1978, "Symposium on Some anomalous Evidence Regarding Market
Efficiency", Journal of Financial Economics, 6, 93-330.
Jensen, M. and G. Bennington, 1970, ``Random Walks and Technical Theories: Some Additional Evidence”, Journal of Finance, 25, 469-482.
Lakonishok, J., A. Shleifer, and R. Vishny, 1994, “Contrarian investment,extrapolation, and risk”, Journal of Finance, 49, 1541-1578.
Phillips, M., and C. Smith, l980, ‘‘Trading Costs for Listed Options: The Implications for Market Efficiency”, Journal of Financial Economics, 8,179-201.
Praetz, D., 1976, “Rates of Return on Filter Tests.” Journal of Finance, 31, 71-75.
PRAETZ, D., 1979, “A General Test of a Filter Effect”, Journal of Financial and Quantitative Analysis, 14, 385-397.
Roll, R., “On Computing Means and the Small Firm Effect”, Journal of Financia1 Economics, 12, 371-386.
Sweeney, J., 1986, “Beating the Foreign Exchange Market”, Journal of Finance, 41, 163-182.
Sweeney, J., 1988, “Some New Filter Tests: Methods and Results”, Journal of Financial and Quantitative Analysis, 23, 285-300.
描述 碩士
國立政治大學
國際經營與貿易研究所
91351015
92
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0913510151
資料類型 thesis
dc.contributor.advisor 郭維裕zh_TW
dc.contributor.author (Authors) 徐仕尚zh_TW
dc.contributor.author (Authors) Hsu,Shih Shangen_US
dc.creator (作者) 徐仕尚zh_TW
dc.creator (作者) Hsu,Shih Shangen_US
dc.date (日期) 2003en_US
dc.date.accessioned 11-Sep-2009 17:09:24 (UTC+8)-
dc.date.available 11-Sep-2009 17:09:24 (UTC+8)-
dc.date.issued (上傳時間) 11-Sep-2009 17:09:24 (UTC+8)-
dc.identifier (Other Identifiers) G0913510151en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/30064-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 國際經營與貿易研究所zh_TW
dc.description (描述) 91351015zh_TW
dc.description (描述) 92zh_TW
dc.description.abstract (摘要) 本文採用1998年九月2日到2003九月30日的台灣指數期貨每日收盤價,總共1304筆資料。我們希望能藉由濾嘴法則以收盤價及交易量和未平倉量來衡量台灣指數期貨的效率性。而實證結果也證實可以藉由濾嘴法則濾除掉市場上的小波動,並進而預測出主要的價格趨勢。zh_TW
dc.description.abstract (摘要) This thesis adopts futures data, which are the daily closing prices of the Taiwan Stock Exchange Capitalization Weighted Stock Index futures contracts. The sample period is from September 2, 1998 to September 30, 2003, a total of 1304 transaction days. The goal we want to achieve is to test and verify the momentum by filter rules based on price and volume in the futures market in Taiwan. In addition, the open interest is substituted for the trading volume to exam its effect on the futures price. The empirical results show that we can predict the price trend as long as we employ an appropriate range value to filter out “the noise”.en_US
dc.description.tableofcontents Content
     Abstract
     1. Introduction............................................................................................................1
     2. Methodology and Data ………………………………………………………...5
     2.1 Methodology………………………………………………………..….………….5
     2.1.1 Filter Rules of Price Strategy………………………………………………...….5
     2.1.2 Filter Rules of Price and Trading Volume Strategy…………………….….……8
     2.2 Data Description…………………………………………………………...……..10
     3. Empirical Results……………………………………………………………....12
     3.1 Overview of Empirical Results…………………….…………………….............12
     3.2 Returns to Price-only strategies…………………………………………………..13
     3.3 Returns to the Price-volume Filter Strategies…………………………………….14
     3.4 Returns to Price-Open-Interest Strategies………………………………………..17
     4. Conclusions and Recommendations………………………………………..20
     4.1 Conclusions……………………………………………………………………....20
     4.2 Recommendations for Further Researches……………………………………….20
     Reference……………………………………………………………………………..22
     
     
     
     
     
     
     
     Figure and Table Content
     
     Figure 1 Demonstration of the average fluctuation…………………………….......26
     
     Table 1 Sample statistics for TAIEX futures for the period September 2, 1998 - September 30, 2003…………………………………………………………………..27
     Table 2 Price-only filter results…………………………………………………….28
     Table 3 Returns to Price-Volume filters with 1-day moving average and 4% price filter level…………………………………………………………………………….29
     Table 4 Returns to Price-Volume filters with 1-day moving average and 5% price filter level…………………………………………………………………………….30
     Table 5 Returns to Price-Volume filters with 1-day moving average and 6% price filter level…………………………………………………………………………….31
     Table 6 Returns to Price-Volume filters with 3-day moving average and 4% price filter level…………………………………………………………………………….32
     Table 7 Returns to Price-Volume filters with 3-day moving average and 5% price filter level…………………………………………………………………………….33
     Table 8 Returns to Price-Volume filters with 3-day moving average and 6% price filter level…………………………………………………………………………….34
     Table 9 Returns to Price-O.I filters with 1-day moving average and 4% price filter level…………………………………………………………………………………..35
     Table 10 Returns to Price-O.I filters with 1-day moving average and 5% price filter level...………………………………………………………………………………...36
     Table 11 Returns to Price-O.I filters with 1-day moving average and 6% price filter level…………………………………………………………………………………..37
     Table 12 Returns to Price-O.I filters with 4-day moving average and 4% price filter level…………………………………………………………………………………..38
     Table 13 Returns to Price-O.I filters with 4-day moving average and 5% price filter level…………………………………………………………………………………..39
     Table 14 Returns to Price-O.I filters with 4-day moving average and 6% price filter level…………………………………………………………………………………..40
     Table 15 Returns to Price-O.I filters with 10-day moving average and 4% price filter level…………………………………………………………………………………..41
     Table 16 Returns to Price-O.I filters with 10-day moving average and 5% price filter level…………………………………………………………………………………..42
     Table 17 Returns to Price-O.I filters with 10-day moving average and 6% price filter level…………………………………………………………………………………..43
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0913510151en_US
dc.subject (關鍵詞) 台灣指數期貨zh_TW
dc.subject (關鍵詞) 未平倉量zh_TW
dc.subject (關鍵詞) 濾嘴法則zh_TW
dc.subject (關鍵詞) Taiwan Index Futures Marketen_US
dc.subject (關鍵詞) Filter rulesen_US
dc.subject (關鍵詞) momentumen_US
dc.subject (關鍵詞) open interesten_US
dc.subject (關鍵詞) Rolloveren_US
dc.title (題名) Market Efficiency of Taiwan Index Futures Marketzh_TW
dc.title (題名) 台灣指數期貨市場效率性-濾嘴法則之研究zh_TW
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) Alexander, S., 1961, “Price Movements in Speculative Markets: Trends or Random Walks.” Industrial Management Review, 2, 7-26.zh_TW
dc.relation.reference (參考文獻) Berkowitz, A., D. Logue, and E. Noser, 1988, “The Total Costs of Transactions on the NYSE.” Journal of Finance, 43, 97-112.zh_TW
dc.relation.reference (參考文獻) Chan, L.,C., Jagadeesh , and J. Lakonishok, 1996,“Momentum strategies,” Journal of Finance, 51, 1681-1713.zh_TW
dc.relation.reference (參考文獻) Cooper, M., 1999, “Filter rules based on price and volume in individual security overreaction”, Review of Financial Studies, 12, 901-935.zh_TW
dc.relation.reference (參考文獻) DeBondt, M. Werner, and H. Thaler, 1987, “Further evidence on investor overreaction and stock market seasonality”, Journal of Finance, 42, 557-581.zh_TW
dc.relation.reference (參考文獻) DeBondt, M. Werner, and H. Thaler, 1985, “Does the stock market overreact?”, Journal of Finance, 40, 793-805.zh_TW
dc.relation.reference (參考文獻) Delong, B., A. Shleifer, L. Summers and R. Waldmann, 1990, “Positive Feedback Investment Strategies and destabilizing Rational Speculation”, Journal of Finance, 45, 379-395.zh_TW
dc.relation.reference (參考文獻) Fabozzi, F., C. Ma, W. Chittenden, and R. Pace, 1995, “Predicting intraday price reversals”, Journal of Portfolio Management, 21, 42-53.zh_TW
dc.relation.reference (參考文獻) Fama, F., 1991, “Efficient capital markets”, 11, Journal of Finance, 46, 1575-1617.zh_TW
dc.relation.reference (參考文獻) Fama, F., and M. Blume, 1966, “Filter Rules and Stock-Market Trading”, Journal of Business, 39,226-241zh_TW
dc.relation.reference (參考文獻) Fama, F., 1970, “Efficient Capital Markets: A Review of Theory and Empirical Work”, Journal of Finance, 25, 383-417.zh_TW
dc.relation.reference (參考文獻) Fama, F., and K. French, 1993, “Common risk factors in the returns on stocks and bonds”, Journal of Financial Economics 33, 3-56.zh_TW
dc.relation.reference (參考文獻) Givoly, D., and J. Lakonishok, 1979, “The information content of financial analysts’ forecasts of earnings: Some evidence on semi-strong inefficiency”, Journal of Accounting and Economics,1,165-185.zh_TW
dc.relation.reference (參考文獻) Grundy, K. and B. Malkiel, 1996, “Reports of beta’s death have been greatly exaggerated,” The Journal of Portfolio Management, 36-44.zh_TW
dc.relation.reference (參考文獻) Jegadeesh, N., 1990, “Evidence of predictable behavior of security returns”, Journal of Finance, 45, 881-898.zh_TW
dc.relation.reference (參考文獻) Jegadeesh, N., and S. Titman, 1993, “Returns to buying winners and selling losers: Implications for stock market efficiency” Journal of Finance, 48, 65–91.zh_TW
dc.relation.reference (參考文獻) Jegadeesh, N. and S. Titman, 1995,"Short-Horizon Return Reversals and the Bid-Ask Spread", Journal of Financial Intermediation, 4 ,116-133.zh_TW
dc.relation.reference (參考文獻) Jansen C., 1978, "Symposium on Some anomalous Evidence Regarding Marketzh_TW
dc.relation.reference (參考文獻) Efficiency", Journal of Financial Economics, 6, 93-330.zh_TW
dc.relation.reference (參考文獻) Jensen, M. and G. Bennington, 1970, ``Random Walks and Technical Theories: Some Additional Evidence”, Journal of Finance, 25, 469-482.zh_TW
dc.relation.reference (參考文獻) Lakonishok, J., A. Shleifer, and R. Vishny, 1994, “Contrarian investment,extrapolation, and risk”, Journal of Finance, 49, 1541-1578.zh_TW
dc.relation.reference (參考文獻) Phillips, M., and C. Smith, l980, ‘‘Trading Costs for Listed Options: The Implications for Market Efficiency”, Journal of Financial Economics, 8,179-201.zh_TW
dc.relation.reference (參考文獻) Praetz, D., 1976, “Rates of Return on Filter Tests.” Journal of Finance, 31, 71-75.zh_TW
dc.relation.reference (參考文獻) PRAETZ, D., 1979, “A General Test of a Filter Effect”, Journal of Financial and Quantitative Analysis, 14, 385-397.zh_TW
dc.relation.reference (參考文獻) Roll, R., “On Computing Means and the Small Firm Effect”, Journal of Financia1 Economics, 12, 371-386.zh_TW
dc.relation.reference (參考文獻) Sweeney, J., 1986, “Beating the Foreign Exchange Market”, Journal of Finance, 41, 163-182.zh_TW
dc.relation.reference (參考文獻) Sweeney, J., 1988, “Some New Filter Tests: Methods and Results”, Journal of Financial and Quantitative Analysis, 23, 285-300.zh_TW