题名

分量迴歸模型於台指期貨報酬率與成交量、未平倉量關係之再驗證

并列篇名

Re-examine the Relationship among Future Market Return Rate, Trading Volume and Open Interest via Quantile Regression Model

DOI

10.29698/FJMR.201105.0004

作者

李沃牆(Wo-Chiang Lee);許維哲(Wei-Jhe Syu)

关键词

未平倉量 ; 分量迴歸 ; 對稱性檢定 ; 拔靴複製法 ; quantile regression ; test for symmetry ; bootstrap ; open interest

期刊名称

輔仁管理評論

卷期/出版年月

18卷2期(2011 / 05 / 01)

页次

75 - 102

内容语文

繁體中文

中文摘要

本文應用Koenker and Bassett (1978)所提出的分量迴歸模型(quantile regression)再驗證期貨價格報酬率與成交量、未平倉量的關係。實證上採用2001年至2009年的的台指期貨相關量價變數,並將樣本分成全部樣本、次級房貸前後並進行比較。同時亦將量價關係區分爲三個模型進行比較。實證結果顯示:報酬率與成交量的關係,大致呈現非對稱V字型的價量關係;而報酬率與未平倉量呈非對稱倒V字型的價量關係。但在次級房貸後的樣本下會使得報酬率與成交量、未平倉量在各分量呈現不顯著的結果,扭曲變數之間的關係,本文的結果亦可供做理論研究或實務應用上的參考。

英文摘要

study applies quantile regression model which provided by Koenker and Bassett (1978) to re-examine the relationship between the future market return rate, trading volume and the open interest. In empirical study, we divided the data set which include year 2001 to 2009 from Taiwan future market into three parts, which are all sample, half sample, before and during the subprime mortgage, respectively. There are a total of three models used to compare the different data sets mentioned above. Results showed an asymmetric V-shaped relationship between return rate and trading volumes. However, in the bear market condition, the result of the return rate, trading volumes and open interest is not significant. These results can provide a reference for the theory and empirical study.

主题分类 社會科學 > 管理學
参考文献
  1. 莊家彰、管中閔(2005)。台灣與美國股市之價量關係的分量迴歸分析。經濟論文,33(4),381-404。
    連結:
  2. Gonza'lez, A., T., Teräsvirta, M. and D. V. Dijk, "Panel Smooth Transition Regression Model and an Application to Investment under Credit Constraints", working papers,2004.
  3. Gonza'lez, A., T., Teräsvirta, M. and D. V. Dijk, "Panel Smooth Transition Regression Models", working papers.,2005
  4. Baker, M.,Stein, J. C.(2004).Market Liquidity as Sentiment Indicator.Journal of Financial Market,7,271-299.
  5. Chuang, C. C.,Kuan, C. M.,Lin, H. Y.(2009).Causality in Quantiles and Dynamic Stock Return-Volume Relations.Journal of Banking & Finance,33,1351-1360.
  6. Clark, P. K.(1973).A Subordinated Stochastic Process Model with Finite Variance for Speculative Process.Econometrica,41(1),135-155.
  7. Copeland, T. E.(1976).A Model of Asset Trading under the Assumption of Sequential Information Arrival.Journal of Finance,4,1149-1168.
  8. Cornell, B.(2000).The Relationship between Volume and Price Variability in Future Market.Journal of Futures Market,20,5-18.
  9. Croux, C.,Forni, M.,Reichlin, L.(2001).A Measurement of Comovement for Economics Variables.Review of Economics and Statistics,83,232-316.
  10. Delong, B.,Shleifer, A.,Summers, L.,Waldmann, R. J.(1990).Noise Trader Risk in Financial Markets.Journal of Portfolio Economy,98,703-738.
  11. Epps, T.,Epps, M.(1976).The Stochastic Dependence of Security Price Changes and Transaction Volume: Implications for the Mixture-of-Distributions Hypothesis.Econometrica,44,305-321.
  12. Epps, T.W.(1977).Security Price Changes and Transaction Volumes: Some Additional Eevidence.Journal of Financial and Quantitative Analysis,12,141-146.
  13. Fama, E. F.,French, K. R.(1993).Common Risk Factors in the Returns on Stock and Bonds.Journal of Financial Economics,33,3-56.
  14. Fama, E. F.,French, K. R.(1992).The Cross-Section of Expected Stock Returns.Journal of Finance,47,427-65.
  15. Floros, C.,Vougas, D.V.(2007).Trading Volume and Returns Relationship in Greek Stock Index Futures Market: GARCH vs. GMM.International Research Journal of Finance and Economics,12,98-115.
  16. Granger, C. W. J.,Newbold, P.(1974).Spurious Regressions in Econometrics.Journal of Econometrics,2,111-120.
  17. Karpoff, J. M.(1987).The Relationship Between Price Changes and Trading Volume: A Survey.Journal of Financial and Quantitative Analysis,22,109-126.
  18. Koenker, R.,Bassett, G.(1978).Regression quantile.Econometrica,46,33-50.
  19. Lakonishok, J.,Smidt, S.(1989).Past Price Changes and Current Trading Volume.Journal of Portfolio Management,15,18-24.
  20. Lee, B.S.,Oliver, M. R.(2002).The Dynamic Relationship between Stock Returns and Trading Volume: Domestic and Cross-Country Evidence.Journal of Banking& Finance,26,51-78.
  21. Leigh, W.,Modani, N.,Hightower, R.(2004).A Computational Implementation of Stock Charting: Abrupt Volume Increase as Signal for Movement in New York Stock Exchange Composite Index.Decision Support Systems,37,515-530.
  22. Mandelbrot, B.(1963).The Variation of Certain Speculative Prices.Journal of Business,36,394-419.
  23. Moosa, Imad A.,Al-Loughani, Nabeel E.(1995).Testing the Price-Volume Relation in Emerging Asian Stock Markets.Journal of Asian Economics,6,407-422.
  24. Osborne, M. F. M.(1959).Brownian Motion in the Stock Market.Operation Research,7,145-173.
  25. Wang, C. Y.,Cheng, N. S.(2004).Extreme Volumes and Expected Stock Returns: Evidence from China's Stock Market.Pacific-Basin Finance Journal,12,577-597.
  26. 王志凱(2007)。國立台灣大學農業經濟所。
  27. 李沃牆(2010)。成交量、未平倉量及波動率對期貨報酬率之關聯分析─縱橫平滑移轉迴歸模型之應用。台灣期貨與衍生性商品學刊,10,1-31。