IDEAS home Printed from https://ideas.repec.org/a/bla/ausecp/v38y1999i4p393-406.html
   My bibliography  Save this article

Asymmetric Conditional Volatility and Firm Size: Evidence from Australian Equity Portfolios

Author

Listed:
  • Ólan T. Henry
  • John Sharma

Abstract

This paper examines the relationship between firm size and equity volatility for two portfolios of Australian equities. Univariate and Multivariate GARCH models are used to demonstrate that conditional variance is related to firm size. There is strong evidence to suggest that the variance‐covariance matrix of returns is time varying and asymmetric. A negative innovation to the return of the large firm portfolio results in higher levels of conditional volatility in the small firm portfolio than would be the case for a positive innovation of equal magnitude. News about own returns appears to determine the conditional variance of the portfolio of large firms. The conditional covariance between the two portfolios also displays evidence of asymmetry.

Suggested Citation

  • Ólan T. Henry & John Sharma, 1999. "Asymmetric Conditional Volatility and Firm Size: Evidence from Australian Equity Portfolios," Australian Economic Papers, Wiley Blackwell, vol. 38(4), pages 393-406, December.
    • Handle: RePEc:bla:ausecp:v:38:y:1999:i:4:p:393-406
    DOI: 10.1111/1467-8454.00064
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-8454.00064
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1467-8454.00064?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
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Martínez, Beatriz & Torró, Hipòlit, 2015. "European natural gas seasonal effects on futures hedging," Energy Economics, Elsevier, vol. 50(C), pages 154-168.
    2. Torro, Hipolit, 2009. "Assessing the influence of spot price predictability on electricity futures hedging," MPRA Paper 18892, University Library of Munich, Germany.
    3. Chris Brooks & Ólan T. Henry, 2002. "The Impact of News on Measures of Undiversifiable Risk: Evidence from the UK Stock Market," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 487-507, December.
    4. Vicente Meneu & Hipòlit Torró, 2003. "Asymmetric covariance in spot‐futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(11), pages 1019-1046, November.
    5. Henry, Ólan & Olekalns, Nilss & Shields, Kalvinder, 2010. "Sign and phase asymmetry: News, economic activity and the stock market," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 1083-1100, December.
    6. Palani-Rajan Kadapakkam & Timothy Krause & Yiuman Tse, 2013. "Exchange Traded Funds, Size-Based Portfolios, And Market Efficiency," Working Papers 0214fin, College of Business, University of Texas at San Antonio.
    7. Palani-Rajan Kadapakkam & Timothy Krause & Yiuman Tse, 2015. "Exchange traded funds, size-based portfolios, and market efficiency," Review of Quantitative Finance and Accounting, Springer, vol. 45(1), pages 89-110, July.
    8. Abdul Qayyum & A. R. Kemal, 2006. "Volatility Spillover between the Stock Market and the Foreign Market in Pakistan," Finance Working Papers 22216, East Asian Bureau of Economic Research.
    9. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2008. "Dynamic Stock Market Interactions between the Canadian, Mexican, and the United States Markets: The NAFTA Experience," Working papers 2008-49, University of Connecticut, Department of Economics.
    10. Ewing, Bradley T. & Malik, Farooq, 2005. "Re-examining the asymmetric predictability of conditional variances: The role of sudden changes in variance," Journal of Banking & Finance, Elsevier, vol. 29(10), pages 2655-2673, October.
    11. Abdul Qayyum & Muhammad Arshad Khan, 2014. "Dynamic Relationship and Volatility Spillover between the Stock Market and the Foreign Exchange Market in Pakistan: Evidence from VAR-EGARCH Modelling," PIDE-Working Papers 2014:103, Pakistan Institute of Development Economics.

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:ausecp:v:38:y:1999:i:4:p:393-406. 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: http://www.blackwellpublishing.com/journal.asp?ref=0004-900X .

    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.