IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/51204.html
   My bibliography  Save this paper

Volatility Impact of Stock Index Futures Trading - A Revised Analysis

Author

Listed:
  • Wagner, Helmut
  • Matanovic, Eva

Abstract

The recent financial crisis renewed concerns about a possible destabilizing impact of derivatives trading. Despite a very active research, the question whether or not derivatives tend to destabilize financial markets has not yet been answered to satisfaction. This contribution aims to revise the robustness of recent empirical findings and to remedy some methodological shortcomings of earlier studies. Acknowledging their practical relevance, we focus on futures and examine the volatility impact of DAX futures trading. Our results confirm a volatility-reducing impact of DAX futures trading, whereas the observed deterioration of the fundamental price building process proved to be statistically insignificant.

Suggested Citation

  • Wagner, Helmut & Matanovic, Eva, 2012. "Volatility Impact of Stock Index Futures Trading - A Revised Analysis," MPRA Paper 51204, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:51204
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/51204/2/MPRA_paper_51204.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Chin Alycia & Warusawitharana Missaka, 2010. "Financial Market Shocks during the Great Depression," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-27, September.
    2. Antoniou, Antonios & Koutmos, Gregory & Pericli, Andreas, 2005. "Index futures and positive feedback trading: evidence from major stock exchanges," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 219-238, March.
    3. Hart, Oliver D & Kreps, David M, 1986. "Price Destabilizing Speculation," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 927-952, October.
    4. Stein, Jeremy C, 1987. "Informational Externalities and Welfare-Reducing Speculation," Journal of Political Economy, University of Chicago Press, vol. 95(6), pages 1123-1145, December.
    5. Lee, Sang-Won & Hansen, Bruce E., 1994. "Asymptotic Theory for the Garch(1,1) Quasi-Maximum Likelihood Estimator," Econometric Theory, Cambridge University Press, vol. 10(01), pages 29-52, March.
    6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    7. Nelson, Daniel B & Cao, Charles Q, 1992. "Inequality Constraints in the Univariate GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(2), pages 229-235, April.
    8. Turnovsky, Stephen J & Campbell, Robert B, 1985. "The Stabilizing and Welfare Properties of Futures Markets: A Simulation Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(2), pages 277-303, June.
    9. R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
    10. Garry J. Schinasi, 2006. "Preserving Financial Stability," IMF Economic Issues 36, International Monetary Fund.
    11. Ross, Stephen A, 1989. " Information and Volatility: The No-Arbitrage Martingale Approach to Timing and Resolution Irrelevancy," Journal of Finance, American Finance Association, vol. 44(1), pages 1-17, March.
    12. Pierluigi Bologna & Laura Cavallo, 2002. "Does the introduction of stock index futures effectively reduce stock market volatility? Is the 'futures effect' immediate? Evidence from the Italian stock exchange using GARCH," Applied Financial Economics, Taylor & Francis Journals, vol. 12(3), pages 183-192.
    13. Danthine, Jean-Pierre, 1978. "Information, futures prices, and stabilizing speculation," Journal of Economic Theory, Elsevier, vol. 17(1), pages 79-98, February.
    14. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Financial market stability; financial market volatility; GARCH; stock index futures; derivatives;

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G19 - Financial Economics - - General Financial Markets - - - Other

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:51204. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.