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研究生: 陳進豐
Chin-feng Chen
論文名稱: 選擇權偏態係數於現貨市場交易策略之應用
The Application of Option skewness in Stock Market
指導教授: 林丙輝
Bing-Huei Lin
口試委員: 黃彥聖
Yen-Sheng Huang
徐中琦
Jon-chi Shyu
學位類別: 碩士
Master
系所名稱: 管理學院 - 財務金融研究所
Graduate Institute of Finance
論文出版年: 2007
畢業學年度: 95
語文別: 中文
論文頁數: 49
中文關鍵詞: 偏態係數峰態係數隱含波動率交易策略
外文關鍵詞: skewness, kurtosis, implied volatility, trade strategy
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  • 本研究主要透過台灣期貨交易所及台灣經濟新報分別收集93-95年台指選擇權每日收盤交易資料及台灣證券交易所現貨加權指數每日收盤價交易資料,首先篩選出具有市場趨勢預期價值的近月價外買權與賣權選擇權每日交易資料。
    根據所篩選的近月價外選擇權每日交易資料計算出每一交易日的選擇權偏態係數與峰態係數,作為判斷現貨市場交易策略的依據,同時根據近月價外選擇權每日交易資料,利用Black-Scholes選擇權定價模型及選擇權平價理論分別計算出每日買權與賣權隱含波動率的數據,將其計算結果標準化繪製成隱含波動率微笑曲線圖,作為判斷偏態係數可靠度的分析依據。
    最後本研究依據93-95年實際台指選擇權及現貨加權指數每日交易資料,進行實證研究結果,提出在不考慮交易手續費、稅負等交易成本的因素下,台指選擇權偏態係數波動對現貨市場交易策略具有顯著影響性、且透過標準差檢定顯示並未提高交易風險的研究結論。


    This study mainly researches the TXO which is Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) option that is daily closing prices from 2004 to 2006 and the TAIEX in Taiwan futures exchange and the Taiwan Economic Journal Data Bank (TEJ).
    First, this study screens the out-of-the-money call and put options which is market tendency anticipated value in recent months.
    Second, this study calculates the option skewness and kurtosis according to the out-of-the-money options which are screens by the option daily transaction. The results are the stratey which trade in stock market. Third, this study using the Black-Scholes option pricing model and put-call parity calculate the implied volatility of the put and call options according to the out-of-the options which are made daily price in recent months. Fourth, this study drew the volatility smile chart by the implied volatility and estimate the reliability of the skewness.
    Finally this study researchs the empirical study on TXO and TAIEX from 2004 to 2006. This study do not cover transaction costs and taxes.Under these circumstances, the volatility of the skewness on the TXO affects notably the trade strategy on the TAIEX. And this study concludes the transaction risk do not rise through the standard test.

    摘 要 I ABSTRACT II 目 錄 III 圖 目 錄 V 表 目 錄 VI 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機 2 1.3 研究目的 2 1.4 研究架構及步驟 3 1.5 本文架構 5 第二章 文獻探討 6 2.1 指數選擇權文獻探討 6 2.2 高階動差文獻探討 9 2.3 隱含波動率文獻探討 12 2.4 隱含波動率偏態文獻探討 16 第三章 研究方法 18 3.1 資料來源 18 3.2 資料處理(1)-偏態係數計算 23 3.2.1 計算一、二、三階動差係數 23 3.2.2 計算偏態係數及峰態係數 25 3.3 資料處理(2)-隱含波動率計算 27 3.4 資料分析方法 29 第四章 實證研究 30 4.1 資料篩選及處理 30 4.1.1 資料篩選 30 4.1.2 資料處理 32 4.2 模擬現貨交易策略 33 4.3 Moneyness標準化的檢定 39 第五章 結論與建議 43 5.1 研究結論 43 5.2 研究貢獻 44 5.3 研究限制 44 5.4 後續研究建議 44 參考文獻 46

    一、中文部分
    1. 王凱立、林嘉慧,(2003),條件高階動差於財務金融市場的應用,財務金融學刊
    2. 李佳玲,(2006),台指選擇權波動度指標與景氣指標之關聯性研究,國立中央大學企業管理研究所碩士論文。
    3. 林丙輝、王明傳,(2002),台灣證券市場條件偏態之投資組合管理
    4. 周孟宣,(2006),台指選擇權交易策略實證研究—以期初持有至到期結算為例,國立中山大學財務管理系碩士論文。
    5. 徐清俊、康登傑,(2004),台指選擇權套利與效率性之研究,遠東學報二十一卷第二期,P232-239
    6. 張尚原,(2006),台灣選擇權市場最適波動度指標之研究,國立中央大學企業管理研究所碩士論文。
    7. 張鍾霖,(2003),波動率模型預測能力的比較─以台指選擇權為例,國立中正大學財務金融研究所碩士論文。
    8. 陳思名,(2005),台指選擇權波動性指標之預測能力比較,國立台灣大學國際企業研究所碩士論文。
    9. 陳昶均,(2004),不同波動性估計模型下台指選擇權評價績效之比較,東吳大學商學院企業管理學系碩士班。
    10. 黃君煒,(2005),運用隱含波動率形成選擇權交易策略之實證分析,國立中山大學碩士論文
    11. 傅淑珺,(2002),台灣期貨與選擇權市場之套利分析—以選擇權與期貨平價理論為例,國立中山大學碩士論文
    12. 楊真珠,(2003),台指選擇權市場效率性之分析,國立政治大學經濟學系碩士論文。
    13. 蔡佩珊,(2003),由選擇權與期貨平價理論檢測台灣期貨與選擇權市場之效率性,私立逢甲大學財務金融研究所碩士論文

    二、英文部分
    1. Ackert, L. F. and Yisong S. T.(2000),”The introduction of Toronto index participation units and arbitrage opportunities in the Toronto 35 index option market .” Journal of Derivatives,Vol.5,No.4.44-53.
    2. Backus, D., Foresi, S., Lai, K., & Wu, L. (1997). Accounting for Biases in Black-Scholes. mimeo, New York University.
    3. Bakshi, G., & Madan, D. (2000). Spanning and Derivative Security Valuation. Journal of Financial Economics, 55, 205-238.
    4. Bakshi, G., Kapadia, N., & Madan, D. (2003). Stock Return Characteristics, Skew Laws, and the Differential Pricing of Individual Equity Options. Review of Financial Studies, 16, 101-143.
    5. Beber, A., & Brandt, M. W. (2006). The Effect of Macroeconomic News on Beliefs and Preferences: Evidence from the Options Market. Journal of Monetary Economics, forthcoming.
    6. Beckers, S. (1981), “Standard Deviations Implied In Option Prices as Predictors of Future Stock Price Variability”, Journal of Banking and Finance, Vol. 5, pp.363-382.
    7. Bing-Huei Lin, Dean A.Paxson & Ing-Jye Chang(2007),”Smiling Less at LIFFE”,Journal of Futures Markets,forthcoming.
    8. Boothe, P. and D. Glassman, 1987, “The Statistical Distribution of Exchange Rates,” Journal of International Economic, 22, 297-319.
    9. Chaput & Ederington(2003),”Option Spread and Combination Trading”, The Journal of Derivatives Summer 2003,Vol.10 Issue 4
    10. Christensen, B. J. and Prabhala, N. R.,(1998), The relation between implied and realized volatility, Journal of Financial Economics, vol 50 , pp125~150.
    11. Chunhachinda, P., K. Dandapani, S. Hamid and A.J. Prakash (1997), “ Portfolio Selection and Skewness: Evidence from International Stock Markets”, Journal of Banking and Finance, pp.143-167.
    12. Day, T. and C. M. Lewis, (1992) , “Stock Market Volatility and the Information Content of Stock Index Options,” Journal of Econometrics, Vol. 52 ,pp.267-288.
    13. Draper P. and Fung, J.K.W.,(2002),”A study of arbitrage efficiency between the FTSE-100 index futures and options contracts.”,The Journal of Futures Markets,Vol.22,No.1,31-58
    14. Duque, J., and P., Teixeira Lopes (1999), “Maturity and Volatility Effects on Smiles. Or Dying Smiling ?”, Paper presented at EFA 1999, Helsinki.
    15. Fung, J. K. W.,and Chan, c.,(1994),n the Arbitrage-Free Pricing Relationship between Index Options and Index Futures:A Notes? The Journal of Futures Markets,Vol.14,No.8,957-962
    16. Hansen, B.E., 1994, “Autoregressive Conditional Density Estimation,” International Economic Review, 35, 705-730.
    17. Harvey, C. and Whaley, R.,(1992),”Market Volatility prediction and the efficiency of the S&P100 index option market,” Journal of Financial Economics,pp43-74
    18. Harvey, C. R. and A. Siddique (1999), “Autoregressive Conditional Skewness ”,Journal of Financial and Quantitative Analysis, Vol. 34, No.4, pp. 465-487.
    19. Harvey, C. R. and A. Siddique (2000a), “Time-Varying Conditional Skewness and the Market Risk Premium”, Research in Bank and Finance, Vol. 1, pp. 25-58.
    20. Harvey, C. R. and A. Siddique (2000b), “Conditional Skewness in Asset Pricing Tests ”, Journal of Finance, Vol. 54, No.3, pp. 1263-1295.
    21. Huisman, R., K. Koedijk, C. Kool, and F. Palm, 1998, “The Fat-Tailedness of FX Returns”, Mimeo, Maastricht University.
    22. Jorion, P.(1995), “Prediction Volatility in The Foreign Exchange Market, ” Journal of Finance, Vol.50,pp.507-528.
    23. Kraus, A. and R.H. Litzenberger (1976), “Skewness Preference and the Valuation of Risk Assets ”, Journal of Finance, Vol. 31, No.4, pp. 1085-1100.
    24. Lee, A., R.L. Moy and C.F. Lee (1996), “A Multivariate Test of the Covariance-Co-Skewness Restriction for the Three Moment CAPM”, Journal of Economics and Business, Vol.48, pp.515-523.
    25. Lim, K.G. (1989), “A New Test of Three-Moment Capital Asset Pricing Model”, Journal of Financial Quantitative Analysis, Vol.24, pp.205-216.
    26. Loretan, M., and P.C.B. Phillips, 1994, “Testing the Covariance Stationarity of Heavy-Tailed Time Series: An Overview of the Theory With Applications to Several Financial Data Series”, Journal of Empirical Finance, 211-48.
    27. MacBeth, J. and L., Merville (1979), “An Empirical Examination of the Black–Scholes Call Option Pricing Model”, Journal of Finance, Vol. 34, pp.1173–1186.
    28. Theodossiou, P., 1998, “Financial Data and the Skewed Generalized t Distribution,” Management Science, 44, 1650-1661.
    29. Wang, K.L., C. Fawson, C.B. Barrett and J. McDonald, 2001,“A Flexible Parametric GARCH Model with an Application to Exchange Rates,” Journal of Applied Econometrics, 16:4, 521-536.

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