IDEAS home Printed from https://ideas.repec.org/a/bla/jbfnac/v25y1998i5-6p721-745.html
   My bibliography  Save this article

Time‐varying Beta Risk for Australian Industry Portfolios: An Exploratory Analysis

Author

Listed:
  • R.W. Faff
  • R.D. Brooks

Abstract

The central focus of this paper is to provide an initial exploratory examination of ex post time‐varying beta estimation, modeling and asset pricing tests. In particular, these issues are investigated using a sample of monthly data on Australian industry portfolios over the nineteen‐year period 1974 to 1992. While primarily illustrative in nature, the industry betas are modeled, estimated and tested with reasonable success in terms of regimes related to periods of regulation/deregulation/imputation; the level of market returns; and a measure of volatility on the risk‐free rate of interest. However, univariate and multivariate tests reported in the paper provided mixed evidence concerning the applicability of a time‐varying beta CAPM, that incorporates these variables.

Suggested Citation

  • R.W. Faff & R.D. Brooks, 1998. "Time‐varying Beta Risk for Australian Industry Portfolios: An Exploratory Analysis," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(5‐6), pages 721-745, June.
    • Handle: RePEc:bla:jbfnac:v:25:y:1998:i:5-6:p:721-745
    DOI: 10.1111/1468-5957.00209
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1468-5957.00209
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1468-5957.00209?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. Jiti Gao & Peter C.B. Phillips, 2013. "Functional Coefficient Nonstationary Regression with Non- and Semi-Parametric Cointegration," Monash Econometrics and Business Statistics Working Papers 16/13, Monash University, Department of Econometrics and Business Statistics.
    2. Petros Messis & Achilleas Zapranis, 2014. "Asset pricing with time-varying betas for stocks traded on S&P 500," Applied Economics, Taylor & Francis Journals, vol. 46(36), pages 4508-4518, December.
    3. Bartłomiej Lisicki, 2023. "Sektorowe zróżnicowanie efektu interwału akcji spółek z GPW w dobie pandemii COVID-19," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 2, pages 174-194.
    4. Don U.A. Galagedera, 2004. "A survey on risk-return analysis," Finance 0406010, University Library of Munich, Germany.
    5. Ortas, E. & Salvador, M. & Moneva, J.M., 2015. "Improved beta modeling and forecasting: An unobserved component approach with conditional heteroscedastic disturbances," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 27-51.
    6. Wang, Daxue, 2008. "Herd behavior towards the market index: Evidence from 21 financial markets," IESE Research Papers D/776, IESE Business School.
    7. Don U.A. Galagedera & Roland Shami, 2003. "Association between Markov regime-switching market volatility and beta risk: Evidence from Dow Jones industrial securities," Monash Econometrics and Business Statistics Working Papers 20/03, Monash University, Department of Econometrics and Business Statistics.
    8. Bruce Hearn, 2016. "A Comparison of the Efficacy of Liquidity, Momentum, Size and Book‐to‐Market Value Factors in Equity Pricing on a Heterogeneous Sample: Evidence from Asia," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 25(4), pages 253-330, November.
    9. Phillips, Peter C.B. & Li, Degui & Gao, Jiti, 2017. "Estimating smooth structural change in cointegration models," Journal of Econometrics, Elsevier, vol. 196(1), pages 180-195.
    10. Dong, Chaohua & Gao, Jiti & Tjøstheim, Dag & Yin, Jiying, 2017. "Specification testing for nonlinear multivariate cointegrating regressions," Journal of Econometrics, Elsevier, vol. 200(1), pages 104-117.
    11. Groenewold, Nicolaas & Fraser, Patricia, 2001. "Tests of asset-pricing models: how important is the iid-normal assumption?," Journal of Empirical Finance, Elsevier, vol. 8(4), pages 427-449, September.
    12. Jiti Gao & Peter C.B. Phillips, 2013. "Functional Coefficient Nonstationary Regression," Cowles Foundation Discussion Papers 1911, Cowles Foundation for Research in Economics, Yale University.
    13. J. C. Matallin & A. Fernandez-Izquierdo, 2003. "Passive timing effect in portfolio management," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1829-1837.
    14. Petros Messis & Antonis Alexandridis & Achilleas Zapranis, 2021. "Testing and comparing conditional risk‐return relationship with a new approach in the cross‐sectional framework," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 218-240, January.
    15. Andrew Worthington & Helen Higgs, 2006. "Market Risk in Demutualized Self-Listed Stock Exchanges: An International Analysis of Selected Time-Varying Betas," Global Economic Review, Taylor & Francis Journals, vol. 35(3), pages 239-257.
    16. Maik Eisenbeiss & Goran Kauermann & Willi Semmler, 2007. "Estimating Beta-Coefficients of German Stock Data: A Non-Parametric Approach," The European Journal of Finance, Taylor & Francis Journals, vol. 13(6), pages 503-522.
    17. Dmitry S. Voronov & Lyudmila A. Ramenskaya, 2023. "Evaluation of the cost of capital and the discount rate based on the Russian financial statistics," Journal of New Economy, Ural State University of Economics, vol. 24(1), pages 50-80, April.

    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:jbfnac:v:25:y:1998:i:5-6:p:721-745. 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=0306-686X .

    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.