IDEAS home Printed from https://ideas.repec.org/p/roc/rocher/248.html
   My bibliography  Save this paper

Ustralian Stock Market Volatility: 1875-1987

Author

Listed:
  • PAGAN, A.R.
  • KEARNS, P.

Abstract

This paper investigates the volatility of monthly Australian stock returns over the period 1875-1987. There has been extensive work on this question in the United States but little with data outside that country. The authors' analysis centers upon whether the stylized facts regarding returns in the United States also hold true for Australia. They find that there are both similarities and differences. There is little evidence for asymmetry in Australian returns but strong persistence of shocks into volatility. What is particularly interesting in the Australian series is the large volatility of the last two decades, an experience not matched in the U.S. data. Copyright 1993 by The Economic Society of Australia.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Pagan, A.R. & Kearns, P., 1990. "Ustralian Stock Market Volatility: 1875-1987," RCER Working Papers 248, University of Rochester - Center for Economic Research (RCER).
  • Handle: RePEc:roc:rocher:248
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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. Brailsford, Timothy J. & Faff, Robert W., 1996. "An evaluation of volatility forecasting techniques," Journal of Banking & Finance, Elsevier, vol. 20(3), pages 419-438, April.
    2. Andrew stuart Duncan & Guanglingdave Liu, 2009. "Modelling South African Currency Crises As Structural Changes In The Volatility Of The Rand," South African Journal of Economics, Economic Society of South Africa, vol. 77(3), pages 363-379, September.
    3. Daly, Kevin, 2008. "Financial volatility: Issues and measuring techniques," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2377-2393.
    4. Brooks, Robert D. & Davidson, Sinclair & Faff, Robert W., 1997. "An examination of the effects of major political change on stock market volatility: the South African experience," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 7(3), pages 255-275, October.
    5. Coppejans, Mark & Domowitz, Ian, 1997. "Noise In the Price Discovery Process: A Comparison of Periodicand Continuous Auctions," Working Papers 97-04, Duke University, Department of Economics.
    6. Ronald A. Ratti & M. Zahid Hasan, 2013. "Oil Price Shocks and Volatility in Australian Stock Returns," The Economic Record, The Economic Society of Australia, vol. 89, pages 67-83, June.
    7. Ho, Kim Wai, 1996. "Short-sales restrictions and volatility The case of the Stock Exchange of Singapore," Pacific-Basin Finance Journal, Elsevier, vol. 4(4), pages 377-391, December.
    8. Carnero, María Ángeles & Peña, Daniel & Ruiz, Esther, 2001. "Outliers and conditional autoregressive heteroscedasticity in time series," DES - Working Papers. Statistics and Econometrics. WS ws010704, Universidad Carlos III de Madrid. Departamento de Estadística.
    9. Kearney, Colm & Daly, Kevin, 1997. "Monetary volatility and real output volatility: An empirical model of the financial transmission mechanism in Australia," International Review of Financial Analysis, Elsevier, vol. 6(2), pages 77-95.
    10. Geoffrey F. Loudon & Wing H. Watt & Pradeep K. Yadav, 2000. "An empirical analysis of alternative parametric ARCH models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(2), pages 117-136.
    11. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    12. Booth, G. Geoffrey & Gurun, Umit G., 2008. "Volatility clustering and the bid-ask spread: Exchange rate behavior in early Renaissance Florence," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 131-144, January.
    13. Brailsford, Timothy J. & Faff, Robert W., 1997. "Testing the conditional CAPM and the effect of intervaling: A note," Pacific-Basin Finance Journal, Elsevier, vol. 5(5), pages 527-537, December.

    More about this item

    Keywords

    financial market ; securities;

    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:roc:rocher:248. 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: (Richard DiSalvo). 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.

    We have no 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.

    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.