题名

波動率指標、真實波動率與市場報酬間關係之研究

并列篇名

A Study on the Relation among Volatility Index, Real Volatility and Market Return

DOI

10.30104/CYMR.200712.0003

作者

羅庚辛(Keng-Hsin Lo);藍宇文(Yu-Wen Lan);李宛柔(Wan-Rou Lee)

关键词

波動率指標 ; 真實波動率 ; 市場報酬 ; 不對稱關係 ; Volatility Index ; Real Volatility ; Market Return ; Asymmetric Relation

期刊名称

中原企管評論

卷期/出版年月

5卷2期(2007 / 12 / 01)

页次

41 - 71

内容语文

繁體中文

中文摘要

台灣指數選擇權(TXO)為一新興市場,交易量成長迅速;但攸關課題如波動率指標之探討則相對不足。本研究以TXO與集中市場為對象探討:一、不同波動率指標對未來真實波動率(RV)解釋能力。二、波動率指標與同期市場指數報酬間之相關性。三、波動率指標與未來指數報酬間之相關性。自2002年4月1日至2006年3月31日共997筆TXO交易分析發現:一、VXO為對未來RV解釋能力最佳的指標,其次依序為EGARCH、GARCH、VIX、HV。二、各波動率指標與同期指數報酬呈負向相關。三、各波動率指數標與未來指數報酬亦呈負向相關。研究另發現:一、加入交易量為解釋變數可提高VXO、VIX 對未來RV解釋能力,對GARCH、EGARCH則較無幫助。二、VXO變動與同期指數報酬變動間具有不對稱關係。三、加入交易量為解釋變數可提高VXO、VIX與未來指數報酬間相關性,對GARCH、EGARCH則沒有幫助。四、VXO具「相對高波動率時進場,未來持有期間內報酬多為正值,在相對低波動率時進場,未來持有期間內報酬多為負值」性質,是恐慌性指標。上述發現說明波動率指標對投資決策具重要參考價值。

英文摘要

The boom of 'Taiwan Index Option' (TXO) transactions has heeded us the research deficiency especial on the topic of volatility index. We observed TXO and open market with aims of first, to compare the predictability among volatility indices to real volatility (RV); second, to verify the relationship between volatility indices and contemporaneous market return; third, and to verify the relationship between volatility indices and future market return. The yields of analyses from 977 transactions in period of April 1(superscript st), 2002 to March 31(superscript st), 2006 tell that first, 'VXO' outperforms the 'EGARCH', 'GARCH', 'VIX' and 'HV' in predicting RV; second, a negative relationship between volatility indices and contemporaneous market return was proved; and third, a negative relationship between volatility indices and future market return was proved. We also found that first, the transaction volume can heave the predictability of VXO and VIX on RV but worthless to GARCH and EGARCH; second, an asymmetric relation was exhibited between VXO and contemporaneous return; third, the transaction volume can heave the predictability of VXO and VIX on future market return but of no avail to GARCH and EGARCH; and fourth, VXO behaves as an 'fear gauge'. These findings are valuable for investors' reference.

主题分类 社會科學 > 經濟學
社會科學 > 管理學
参考文献
  1. 李存修、盧佳鈺、江木偉(2006)。台指選擇權隱含波動率指標之資訊內涵-新褊VIX指標之實證。證市場發展季刊,17,1-42。
    連結:
  2. Anthony, J.(1988).The Interrelation of Stock and Options Market Trading Volume Data.Journal of Finance,43,949-964.
  3. Black, F.,M. Scholes(1973).The Pricing of Options and Corporate Liabilities.Journal of Political Economy,81,637-659.
  4. Brooks, C.(1998).Prediciting Stock Index Volatility: Can Market Volume Help.Journal of Forecasting,17,59-80.
  5. Canina, L.,S. Figlewski(1993).The Informational Content of Implied Volatility.The Review of Financial Studies,6,659-681.
  6. Chiras, D. P.,S. Manaster(1978).The Information Content of Option Prices and a Test of Market Efficiency.Journal of Financial Economies,6,213-234.
  7. Christensen B. J.,N. R. Prabhala(1998).The Relation Between Implied and Realized Volatility.Journal of Financial Economics,50,125-150.
  8. Copeland, M. M.,T. E. Copeland(1999).Market Timing: Style and Size Rotation Using the VIX.Financial Analysts Journal,55,73-81.
  9. Crouch, R. L.(1970).A Nonlinear Test of the Random-Walk Hypothesis.American Economic Review,60,199-202.
  10. Day, T. E.,C. M. Lewis(1992).Stock Market Volatility and the Information Content of Stock Index Options.Journal of Econometrics,52,267-287.
  11. Demeterfi, K.,E. Derman, M. Kamal, J. Zou(1999).A Guide to Volatility and Variance Swaps.Journal of Derivatives,6,9-33.
  12. Derman, E.,I. Kani(1998).Stochastic Implied Trees: Arbitrage Pricing with Stochastic Term and Strike Structure of Volatility.International Journal of Theoretical and Applied Finance,11,61-110.
  13. Dumas, B.,J. Fleming, R. Whaley(1998).Implied Volatility Functions: Empirical Tests.Journal of Finance,53,2059-2106.
  14. Engle, R. F.,V. K. Ng(1993).Measuring and Testing the Impact of News on Volatility.Journal of Finance,48,1022-1082.
  15. Fabozzi, F. J.,J. C. Francis(1979).Mutual Fund Systematic Risk for Bull and Bear Markets: an Empirical Examination.Journal of Finance,34,1243-1250.
  16. Fame, E. F.(1970).Efficient Capitol Markets: a Review of Theory and Empirical Work.Journal of Finance,25,383-417.
  17. Figlewski, S.,X. Wang(2000).Working Paper S-00-37.New York University, Stern School of Business.
  18. Fleming, J.(1998).The Quality of Market Volatility Forecasts Implied by S&P100 Index Options Prices.Journal of Empirical Finance,5,317-345.
  19. French, K.,G. W. Schwert, R. Stambaugh(1987).Expected Stock Returns and Volatility.Journal of Financial Economics,19,3-30.
  20. Giot, P.(2005).Relationships Between Implied Volatility Indexes and Stock Index returns.Journal of Portfolio Management,31,92-100.
  21. Giot, P.(2003).The Information Content of Implied Volatility Indexes for Forecasting Volatility and Market Risk.Journal of Futures Markets,23,441-454.
  22. Gonzáles, M. F.,N. Burgess(1997).Modeling Market Volatilities: the Neural Network Perspective.European Journal of Finance,3,137-157.
  23. Hamid, S. A.,Z. Iqbal(2004).Using Neural Networks for Forecasting Volatility of S&P 500 Index Futures Prices.Journal of Business Research,57,1116-1125.
  24. Harris, L.,E. Gurel(1986).Price and Volume Effects Associated with Changes in the S&P 500 List: New Evidence for the Existence of Price Pressures.Journal of Finance,41,815-829.
  25. Jorion, P.(1995).Prediction Volatility in the Foreign Exchange Market.Journal of Finance,50,507-528.
  26. Karpoff, J.(1987).The Relation Between Price Changes and Trading Volume: a Survey.Journal of Financial and Quantitative Analysis,22,109-123.
  27. Lamoureux, C. G.,W. D. Lastrapes(1993).Forecasting Slack-Return Variance: Toward an Understanding of Stochastic Implied Volatility.The Review of Financial Studios,6,293-326.
  28. MacBeth, J.,L. Merville(1979).An Empirical Examination of the Block-Scholes Call Option Pricing Model.Journal of Finance,34,1173-1186.
  29. Mayhew, S.(1995).Implied Volatility.Financial Analysts Journal,50,8-20.
  30. Newey, W.,K. West(1987).A Simple Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix.Econometrica,55,703-708.
  31. Park, T. H.,L.N. Switzer, R. Bedrossian(1999).The Interactions Between Trading Volume and Volatility: Evidence from the Equity Options Markets.Applied Financial Economics,9,627-637.
  32. Poon, S. H.,C. W. J. Granger(2003).Forecasting Volatility in Financial Market: Review.Journal of Economic Literature,41,478-539.
  33. Said, S.E.,D.A. Dickey(1984).Testing for Unit Roots in ARMA Models of Unknown Order.Biometrica,71,599-607.
  34. Traub, H.,L. Ferreira, M. McArdle,M. Antognelli(2000).Fear and Greed in Global Asses Allocation.The Journal of Investing,9,21-37.
  35. Vasilellis, G. A.,N. Meade(1996).Forecasting Volatility for Portfolio Selection.Journal of Business Finance and Accounting,23,125-143.
  36. Whaley, R. E.(1993).Derivatives on Market Volatility: Hedging Tools Long Overdue.The Journal of Derivatives,1,71-84.
  37. Whaley, R. E.(2000).The Investor Feat Gauge.Journal of Portfolio Manage ment,26,12-17.
  38. Ying, C.C.(1966).Stock Market Prices and Volumes of Sales.Econometrica,34,676-685.
  39. 李惠妍、吳宗正、溫敏杰(2006)。迴歸模式與類神經網路在台股指數期貨預測之研究。經營管理論叢,2,83-99。
  40. 倪衍森、吳曼華、鄭亦妏(2005)。在Black-Scholes評價模型下台指選擇權最適波動性估計方法之研究。管理科學研究,2,93-109。
  41. 涂登才、杜玉振、卓必靖(2004)。台指選擇權VIX指數編制及VIX指數基礎下避險策略之研究。台灣期貨與衍生性商品學刊,2,88-107。
  42. 黃華山、邱一勳(2005)。類神經網路預測台灣50股價指數之研究。資訊、科技與社會學報,5,19-42。
被引用次数
  1. 駱武昌、吳斯偉、吳明珊(2011)。台灣、歐洲與美國股市間波動外溢效果。會計與財金研究,4(2),29-50。