系統識別號 | U0002-1306201117460600 |
---|---|
DOI | 10.6846/TKU.2011.01199 |
論文名稱(中文) | 交易人行為、交易時距與台指選擇權價格波動性 |
論文名稱(英文) | Investor Behavior, Trade Duration and TXO Price Volatility |
第三語言論文名稱 | |
校院名稱 | 淡江大學 |
系所名稱(中文) | 財務金融學系碩士班 |
系所名稱(英文) | Department of Banking and Finance |
外國學位學校名稱 | |
外國學位學院名稱 | |
外國學位研究所名稱 | |
學年度 | 99 |
學期 | 2 |
出版年 | 100 |
研究生(中文) | 張怡婷 |
研究生(英文) | Yi-Ting Chang |
學號 | 698530697 |
學位類別 | 碩士 |
語言別 | 繁體中文 |
第二語言別 | |
口試日期 | 2011-05-22 |
論文頁數 | 65頁 |
口試委員 |
指導教授
-
邱建良
共同指導教授 - 吳佩珊 委員 - 黃博怡 委員 - 郭宗賢 委員 - 李命志 |
關鍵字(中) |
ACD-GARCH模型 交易人行為 交易時距 價格波動性 資訊交易 |
關鍵字(英) |
ACD-GARCH model Trading behavior Trade duration Price volatility Informed trading |
第三語言關鍵字 | |
學科別分類 | |
中文摘要 |
本文利用台指選擇權搭配ACD(1,1)模型以及ACD(1,1)-GARCH(1,1)模型來探討交易時距與其影響變數交易量及到期日之間的關連性,以及交易人於選擇權市場之交易行為對價格波動影響。本文旨在研究各交易人於不同價性選擇權交易筆數及時距並加以比較,另再透過交易時距倒數及交易人行為分別對台指選擇權價格波動之影響解析資訊交易的存在、並分析交易人交易行為。 實證結果顯示:1. 交易量與交易時距呈負相關,而到期效果則與交易時距呈現正相關。2. 價平與價內選擇權市場由資訊交易所主導,價外選擇權則以流動性交易為主。3. 外資在價平及價外選擇權中存在資訊交易,本國機構人則在價平選擇權及價外買權存在資訊交易;另自然人除價平賣權外皆為雜訊交易,而認定為流動性交易者的造市者除了價平買權和價外買權外,的確擔任著提高市場流動性的角色,由上可知,交易人未必只依一種交易目的而交易。4. 資訊交易者並非只存在資訊交易。5. 交易時距確實會影響波動度,由實證得知台指選擇權市場中的確存在資訊交易。 |
英文摘要 |
This study uses ACD(1,1) and ACD(1,1)-GARCH(1,1) model to discuss the relatedness of duration between volume and maturity, and effect of price volatility come from investor behavior. We also discusses and compares investors’ trading volume and trading duration, and use the TXO price volatility for inverse of duration and investor behavior to interpret the existence of informed trading. We found that, the inverse correlation between volume and duration and a positive correlation between maturity and duration. Second, at-the-money and in-the-money options have informed trading. Third, institutional investors trade for informed at at-the-money and out-the-money. In addition to, individual investors not only take noise trading and market maker take liquidity trading and hedging. Forth, informed investors not only make the informed trading, and last, trade duration affect price volatility, and there are informed trading in TXO market. |
第三語言摘要 | |
論文目次 |
目錄 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 4 第三節 研究流程 5 第二章 文獻探討 7 第一節 交易量、價格波動及交易時距之關聯 7 第二節 到期效果 13 第三節 交易量與價格波動性關係 15 第四節 雜訊交易者 18 第五節 市場交易人行為 20 第六節 交易人形態與波動性 25 第三章 研究方法 27 第一節 研究假說 27 第二節 自我相關條件時距模型(ACD模型) 29 第三節 ACD-GARCH模型 31 第四章 實證分析 34 第一節 資料整理與分析 34 第二節 交易時距ACD(1,1)實證結果 47 第三節 交易時距ACD(1,1)-GARCH (1,1)實證結果 48 第五章 結論與建議 56 第一節 結論 56 第二節 未來研究建議 57 參考文獻 58 表目錄 表4.1 各交易人於選擇權之交易比重 36 表4.2 選擇權交易人投資於不同到期時間之交易量 38 表4.3 選擇權交易人之交易時距敘述統計分析 40 表4.4 選擇權日內交易平均時距 46 表4.5 交易時距之 ACD(1,1)參數估計 48 表4.6 交易時距之 ACD-GARCH(1,1)參數估計 53 表4.7 各價性選擇權市場交易整理 54 圖目錄 圖1.1 本論文研究流程 6 圖4.1 價平買權交易時距日內走勢 42 圖4.2 價平賣權交易時距日內走勢 43 圖4.3 價內買權交易時距日內走勢 43 圖4.4 價內賣權交易時距日內走勢 44 圖4.5 價外買權交易時距日內走勢 44 圖4.6 價外賣權交易時距日內走勢 45 |
參考文獻 |
一、 中文參考文獻 李允正(1995),開放外資對台灣股市之影響,國立中正大學財務金融學系碩士論文。 陳盈之(2002),市場訊息變動對外匯波動之不對稱影響與其反轉特性:選擇權市場的證據,國立政治大學財務管理學系碩士論文。 陳美璇(2008),應用EACD-GARCH 模型配適波動度之探討,銘傳大學財務金融學系碩士論文。 謝佩芳(2009) ,選擇權市場的資訊內涵,國立中央大學財務金融學系博士論文。 二、 英文參考文獻 A. Cellier, (2003), “Duration-Volume-Volatility: A VAR GARCH model”, Working paper of JEREM. A. Dufour, and R. F. Engle, (2000), “Time and the price impact of a trade”, The Journal of Finance, 55, pp.2467−2498. A. G. Hawkes, (1971), “Spectra of Some Self-exciting and Mutually Exciting Point Processes”, Biometrika, 58, pp.83–90. A. G. Hawkes, (1972), “Spectra of Some Mutually Exciting Point Processes With Associated Variables”, Stochastic Point Processes, pp.261–71. A.G. Karolyi, (1996), “ stock market volatility around expiration days in Japan” , Journal of Derivatives,4, pp.23-43. A. Hodgson, A. M. A. Masih, and R. Masih, (2006), “Futures trading volume as a determinant of prices in different momentum phases”, International Review of Financial Analysis, 15, pp.68−85. A. R. Admati, and P. Pfleiderer, (1988), “A theory of intraday patterns: Volume and price variability”, Review of Financial Studies, 1, pp.3−40. A. Richards, (2005), “Big fish in small ponds: The trading behavior and price impact of foreign investors in Asian emerging equity markets”, Journal of Financial and Quantitative Analysis, 40, pp.1-27. A. S. Kyle, (1985), “Continuous auctions and insider trading”, Econometrica, 53, pp.1315−1335. Bing Han, Yi-Tsung Lee, Yu-Jane Liu, (2009), “Investor Trading Behavior and Performances: Evidence from Taiwan Stock Index Options” McCombs Research Paper Series No. FIN-06-09. B.M. Barber, Y. Lee, Y. Liu and T. Odean, (2009), “Just how much do individual investors lose by trading? ”, The Review of Financial studies, 22, pp.609-632. B. R. Marshall, and M. Young, (2003), “Liquidity and stock returns in pure order-driven markets: evidence from the Australian stock market”, International Review of Finanical Analysis, 12, pp.173-188. C. A. E. Goodhart, and M. O’Hara, (1997), “High frequency data in financial markets: Issues and applications”, Journal of Empirical Finance, 40, pp.73-114. Carlos A. Ulibarri, Peter C. Anselmo, Karen Hovespian, Jacob Tolk and Ionut Florescu, (2008), “Noise-trader risk and Bayesian market making in FX derivatives: rolling loaded dice?”, International Journal of Finance and Economics, Volume 14, Issue 3, pp.268–279 Chun Liu and John M. Maheu, (2010), “Intraday Dynamics of Volatility and Duration: Evidence from the Chinese Stock Market”, manuscript submitted for publication C. W. Holden, and A. Subrahmanyam, (1992), “Long-lived private information andimperfect competition”, Journal of Finance, 47, pp.247−270. D. Easley, and M.. O'Hara, (1987), “Price, trade size and information in securities markets” Journal of Financial Economics, 19, pp.69-90. D. Easley, and M. O'Hara, (1992), “Time and the process of security price adjustment”, Journal of Finance, 47, pp.577−606. D. Easley, N. M. Keifer, M. O'Hara, and J. Paperman, (1996), “Liquidity, information, and infrequently traded stocks”, Journal of Finance 51, pp.1405-1436. D. Easley, N. M. Kiefer, and M. O'Hara, (1997), “One day in the life of a very common stock.”, Review of Financial Studies, 10, pp.805−835. E. Elton, M. Gruber, (1995), Modern portfolio theory and investment analysis, New York: John Wiley and Sons. F. Black, (1975), “Fact and fantasy in the use of options”, Financial Analysts Journal, 31,36-41, pp.61-72. F. D. Foster, and S. Viswanathan, (1990), “A theory of the interday variations in volume, variance, and trading costs in securities markets”, Review of Financial Studies, 3, pp.593−624. H., Stoll, (1978), “The pricing of security dealer services: An empirical study of NASDAQ stocks”, Journal of Finance, 33, pp.1153-1172. H.R. Stoll, and R.E. Whaley, (1991), “Expiration-day effects: what has changed?”, Financial Analysts Journal, (January-February), pp.58-72. I., Rubin, (1972), “Regular Point Processes and Their Detection”, IEEE Transactions on Information Theory, pp.547–57. J.B. DeLong, A. Shleifer, L.H. Summers, and R.J. Waldmann, (1990), “Noise Trader Risk in Financial Markets,” Journal of Political Economy, 98, pp.703-738. J. Hasbrouck, (1991), “Measuring the information content of stock trades”, Journal of Finance, 46, pp.179-207. J. M. Karpoff, (1987), “The relation between price changes and trading volume: A survey”, Journal of Financial and Quantitative Analysis, 22(1), pp.109– 126. K. Back, (1993), “Asymmetric information and options”, Review of Financial Studies, 6, pp.435-472. K. C. Chen, and L. Wu, (2001), “Introduction and expiration effects of derivative equity warrants in Hong Kong”, International Review of Financial Analysis, 10, pp.37– 52. Kam C. Chan , Yuanchen Chang, Peter P. Lung, (2009), “Informed trading under different market conditions and moneyness: Evidence from TXO options”, Pacific-Basin Finance Journal, 17, pp.189–208. Kee-Hong Bae , Takeshi Yamada , Keiichi Ito, (2008), “Interaction of investor trades and market volatility:Evidence from the Tokyo Stock Exchange”, Pacific-Basin Finance Journal, 16, pp.370-388. K. S. Eom, and S.B. Hahn, (2005), “Traders’ strategic behavior in an index options market.”, The Journal of Futures Markets, 25, 2, pp.105-133. Matthew C. Chang and Woon K. Wong, (2008), “The Role of Market Makers on the Taiwan Options Markets”, International Research Journal of Finance and Economics, Issue 22, pp.122-134. Mingchih Lee, Chun-Da Chen, (2005), “The intraday behaviors and relationships with its underlying assets: Evidence on option market in Taiwan”, International Review of Financial Analysis, 14, pp.587–603. M.J. Barclay, C.G. Dunbar, J.B. Warner, (1993), “Stealth and volatility: which trades move prices?”, Journal of Financial Economics 34, pp.281-306. M. Najand, and K., Yung, (1991), “A GARCH Examination of the Relationship Between Volume and Price Variability in Futures Markets”, Journal of Futures Markets, Vol.11, No.5, pp.465-478. M. T. Bohl, and H. Henke, (2003), “Trading volume and stock market volatility: The Polish case”, International Review of Financial Analysis, 12, pp.513−525. M. Y., Zhang, J. R., Russell and R. S., Tsay, (2001), “A nonlinear autoregressive conditional duration model with applications to financial transaction data”, Journal of Econometrics, 104, pp.179−207. P.A., Samuelson, (1965), “Proof that Properly Anticipated Prices Fluctuate Randomly”, Industrial Management Review, vol.6, pp.41-49. P. Brockman, and D. Y. Chung, (2000), “Informed and uninformed trading in an electronic, order-driven environment”, Financial Review, 35, pp.125-146. P.K. Clark, (1973) , “A Subordinated Stochastic Process Model with Finite Variance for Speculative Price ”, Econometrica, Vol.41, No.1, pp.135-159. R. Bloomfield, M. O'Hara, and G. Saar, (2005), “The ‘make or take’ decision in an electronic market: Evidence on the evolution of liquidity”, Journal of Financial Economics, 75, pp.165-199. R. F. Engle, and J. Russell, (1998), “Autoregressive conditional duration: A new model for irregularly spaced transaction data.”, Econometrica, 66, 5, pp.1127-1162. R. F. Engle, (2000), “The econometrics of ultra-high-frequency data”, Econometrica, 68, pp.1−22. Robert T. Daigler and Marilyn K. Wiley, (1999), ‘The Impact of Trader type on the Futures Volatility-Volume Relation”, Journal of Finance , No.6, pp. 2297-2316. S. Chakravarty, (2001), “Stealth-trading: which traders' trades move stock prices?”, Journal of Financial Economics, 34, pp.281-306. S., Manganelli, (2005), “Duration, volume and volatility impact on trades”, Journal of Financial markets, 8, pp.377−399. S. Mayhew, A. Sarin and K. Shastri, (1995), “The allocation of informed trading across related markets: An analysis of the impact of changes in equity-option margin requirements”, Journal of Finance, 50, pp.1635-1653. T. Andersen, (1996), “Return volatility and trading volume: An information flow interpretation of stochastic volatility”, Journal of Finance, 51, pp.169−204. T.E. Copeland, (1976), “A Model of Asset Trading Under the Assumption of Sequential Information Arrival”, Journal of Finance , Vo1.31, No.4, pp. 1149-1168. T.F. Matrtell, and A.S. Wolf, (1987), “Determinants of Trading Volume in Futures Markets”, Journal of Futures Markets, Vol.7, No.3, pp.233-244. T. H., McInish, and R. A. Wood, (1992), “An analysis of intraday patterns in bid/ask spreads for NYSE stocks”, Journal of Finance, 47, pp.753-764. Woon K. Wong and Dijun Tan and Yixiang Tian, (2009), “Informed trading and liquidity in the Shanghai Stock Exchange”, International Review of Financial Analysis 18, pp. 66–73. W. P. Hogan, and J. A. Batten, (2005), “Informed and uninformed trading on the Australian dollar”, International review of Financial Analysis, 14, pp.61-75. Y.H. Cho, and R. F. Engle, (1999), “Modeling the impacts of market activity on Bid-Ask spreads in the option market.”, Discussion paper 99-05, University of California at San Diego. |
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