IDEAS home Printed from https://ideas.repec.org/p/ecm/ausm04/55.html
   My bibliography  Save this paper

Modeling dependence structure in size-sorted portfolios: A Structural Multivariate GARCH Model

Author

Listed:
  • George Milunovich

Abstract

A new model is developed that augments a structural VAR specification with a GARCH covariance matrix. The model is utilised to study time series dependencies between three size-sorted portfolios from the Australian Stock Exchange. Even after accounting for contemporaneous correlations the returns on small and medium firm portfolios are found to lag the large firm portfolio returns. An asymmetric lag structure is also found in the structural variance equations. The evidence is consistent with the Lo and MacKinlay (1990) lead-lag effect and the volatility spill-over hypothesis of Condrad, Gultekin and Kaul (1991).

Suggested Citation

  • George Milunovich, 2004. "Modeling dependence structure in size-sorted portfolios: A Structural Multivariate GARCH Model," Econometric Society 2004 Australasian Meetings 55, Econometric Society.
  • Handle: RePEc:ecm:ausm04:55
    as

    Download full text from publisher

    File URL: http://repec.org/esAUSM04/up.6226.1076301814.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. 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.
    2. Kroner, Kenneth F & Ng, Victor K, 1998. "Modeling Asymmetric Comovements of Asset Returns," Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 817-844.
    3. Adrian Pagan, 1986. "Two Stage and Related Estimators and Their Applications," Review of Economic Studies, Oxford University Press, vol. 53(4), pages 517-538.
    4. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    5. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
    6. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    7. Chang, Eric C. & McQueen, Grant R. & Pinegar, J. Michael, 1999. "Cross-autocorrelation in Asian stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 7(5), pages 471-493, December.
    8. Jegadeesh N. & Titman S., 1995. "Short-Horizon Return Reversals and the Bid-Ask Spread," Journal of Financial Intermediation, Elsevier, vol. 4(2), pages 116-132, April.
    9. Fargher, Neil L & Weigand, Robert A, 1998. "Changes in the Stock Price Reaction of Small Firms to Common Information," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(1), pages 105-121, Spring.
    10. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    11. Lo, Andrew W. & Craig MacKinlay, A., 1990. "An econometric analysis of nonsynchronous trading," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 181-211.
    12. Conrad, Jennifer & Gultekin, Mustafa N & Kaul, Gautam, 1991. "Asymmetric Predictability of Conditional Variances," Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 597-622.
    13. Mech, Timothy S., 1993. "Portfolio return autocorrelation," Journal of Financial Economics, Elsevier, vol. 34(3), pages 307-344, December.
    14. Conrad, Jennifer & Kaul, Gautam, 1989. "Mean Reversion in Short-Horizon Expected Returns," Review of Financial Studies, Society for Financial Studies, vol. 2(2), pages 225-240.
    15. Cha, Baekin & Oh, Sekyung, 2000. "The relationship between developed equity markets and the Pacific Basin's emerging equity markets," International Review of Economics & Finance, Elsevier, vol. 9(4), pages 299-322, October.
    16. Fama, Eugene F, 1991. " Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Vargas, Gregorio A., 2006. "An Asymmetric Block Dynamic Conditional Correlation Multivariate GARCH Model," MPRA Paper 189, University Library of Munich, Germany, revised Aug 2006.

    More about this item

    Keywords

    Heteroschedasticity; Simultaneous Equations; Multivariate GARCH; Size-Sorted Portfolios; Conditional Impulse Responses; Conditional Variance Decomposition;

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ecm:ausm04:55. 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: (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/essssea.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.