IDEAS home Printed from https://ideas.repec.org/a/bla/eufman/v4y1998i3p293-319.html
   My bibliography  Save this article

On the Predictability of the Stock Market Volatility: Does History Matter?

Author

Listed:
  • Kate Adjaoute
  • Martin Bruand
  • Rajna Gibson‐Asner

Abstract

This study compares the performance of the ISD, the GARCH(1,1), the historical volatility estimates and of two lagged trading volume measures for predicting the Swiss Stock Market Index's (SMI) volatility. The ISD has a superior daily informational content than the GARCH(1,1) estimate and retains unbiased but decreasing explanatory power over up to 20 days ahead horizons. Mean and spread daily volume measures play a significant correcting role when forecasting stock market volatility over daily and longer intervals respectively and clearly dominate the GARCH(1,1) forecasts. Their significance emphasises heterogeneous horizon traders' influence on the SMI volatility time series properties

Suggested Citation

  • Kate Adjaoute & Martin Bruand & Rajna Gibson‐Asner, 1998. "On the Predictability of the Stock Market Volatility: Does History Matter?," European Financial Management, European Financial Management Association, vol. 4(3), pages 293-319, November.
    • Handle: RePEc:bla:eufman:v:4:y:1998:i:3:p:293-319
    DOI: 10.1111/1468-036X.00068
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1468-036X.00068
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1468-036X.00068?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Isakov, Dusan & Perignon, Christophe, 2001. "Evolution of market uncertainty around earnings announcements," Journal of Banking & Finance, Elsevier, vol. 25(9), pages 1769-1788, September.
    2. Mr. Marcos R Souto & Mr. Theodore M. Barnhill, 2007. "Stochastic Volatilities and Correlations, Extreme Values and Modeling the Macroeconomic Environment, Under Which Brazilian Banks Operate," IMF Working Papers 2007/290, International Monetary Fund.
    3. Boulis Ibrahim & Janusz Brzeszczynski, 2013. "Interdependence of Stock Markets Before and After the Global Financial Crisis of 2007," CFI Discussion Papers 1305, Centre for Finance and Investment, Heriot Watt University.
    4. Bruce Q. Budd, 2018. "The transmission of international stock market volatilities," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 155-173, January.
    5. Ezzat, Hassan, 2012. "The Application of GARCH Methods in Modeling Volatility Using Sector Indices from the Egyptian Exchange," MPRA Paper 51584, University Library of Munich, Germany.
    6. Ercan Balaban & Asli Bayar & Robert Faff, 2006. "Forecasting stock market volatility: Further international evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 12(2), pages 171-188.
    7. Ibrahim, Boulis Maher & Brzeszczynski, Janusz, 2009. "Inter-regional and region-specific transmission of international stock market returns: The role of foreign information," Journal of International Money and Finance, Elsevier, vol. 28(2), pages 322-343, March.
    8. Vogel, Harold L. & Werner, Richard A., 2015. "An analytical review of volatility metrics for bubbles and crashes," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 15-28.

    More about this item

    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:bla:eufman:v:4:y:1998:i:3:p:293-319. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/efmaaea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.