IDEAS home Printed from
   My bibliography  Save this article

Volatility relationship between stock performance and real output


  • Eun Ahn
  • Jin Man Lee


This paper investigates the interaction between stock index returns and the real output growth for five countries. This study focuses on the second moment relationship using various forms of the bivariate generalized autoregressive conditional heteroscedastic models (BGARCH). This study shows that interactivity between stock returns and growth rates are robust at the second order. The results imply that high volatility in the stock market is likely to be followed by increased volatility in the output sector and periods of high volatility in real output is likely to be followed by increased volatility in the stock market.

Suggested Citation

  • Eun Ahn & Jin Man Lee, 2006. "Volatility relationship between stock performance and real output," Applied Financial Economics, Taylor & Francis Journals, vol. 16(11), pages 777-784.
  • Handle: RePEc:taf:apfiec:v:16:y:2006:i:11:p:777-784 DOI: 10.1080/09603100500424775

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Pagan, Adrian R. & Schwert, G. William, 1990. "Alternative models for conditional stock volatility," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 267-290.
    2. Connolly, Robert A., 1989. "An Examination of the Robustness of the Weekend Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(02), pages 133-169, June.
    3. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    4. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    5. Summers, Lawrence H, 1986. " Does the Stock Market Rationally Reflect Fundamental Values?," Journal of Finance, American Finance Association, vol. 41(3), pages 591-601, July.
    6. Fabio Fornari & Antonio Mele, 1997. "Asymmetries and non-linearities in economic activity," Applied Financial Economics, Taylor & Francis Journals, vol. 7(2), pages 203-206.
    7. Hassapis, Christis & Kalyvitis, Sarantis, 2002. "Investigating the links between growth and real stock price changes with empirical evidence from the G-7 economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(3), pages 543-575.
    8. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-547, August.
    9. Nicole Davis & Ali Kutan, 2003. "Inflation and output as predictors of stock returns and volatility: international evidence," Applied Financial Economics, Taylor & Francis Journals, vol. 13(9), pages 693-700.
    10. Eva Liljeblom & Marianne Stenius, 1997. "Macroeconomic volatility and stock market volatility: empirical evidence on Finnish data," Applied Financial Economics, Taylor & Francis Journals, vol. 7(4), pages 419-426.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Karunanayake, Indika & Valadkhani, Abbas & O’Brien, Martin, 2012. "GDP Growth and the Interdependency of Volatility Spillovers," MPRA Paper 50398, University Library of Munich, Germany.
    2. Charles K.D. Adjasi, 2009. "Macroeconomic uncertainty and conditional stock-price volatility in frontier African markets: Evidence from Ghana," Journal of Risk Finance, Emerald Group Publishing, vol. 10(4), pages 333-349, August.
    3. Ferrara, Laurent & Marsilli, Clément & Ortega, Juan-Pablo, 2014. "Forecasting growth during the Great Recession: is financial volatility the missing ingredient?," Economic Modelling, Elsevier, vol. 36(C), pages 44-50.
    4. Abbas Valadkhani & George Chen, 2014. "An empirical analysis of the US stock market and output growth volatility spillover effects on three Anglo-Saxon countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(3), pages 323-335, May.
    5. Ferrara, L. & Marsilli, C. & Ortega, J-P., 2013. "Forecasting growth during the Great Recession: is financial volatility the missing ingredient?," Working papers 454, Banque de France.

    More about this item


    Access and download statistics


    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:taf:apfiec:v:16:y:2006:i:11:p:777-784. 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: (Chris Longhurst). General contact details of provider: .

    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.