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Modelling the Equity Beta Risk of Australian Financial Sector Companies

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  • Frida Lie
  • Robert Brooks
  • Robert Faff

Abstract

In this paper we apply the generalised auto‐regressive conditional heteroskedasticity (GARCH) and Kalman Filter approaches to modelling the equity beta risk of a sample of fifteen Australian financial sector companies. A de‐regulated environment in which strong competitive forces are at play typifies the period of investigation. Consistent with the existing literature, we find that these modelling techniques perform well and, in particular, that the Kalman Filter approach is preferred. Further, we find that considerable variability of risk occurs throughout the sample period. Thus, extending the evidence of Harper and Scheit (1992); Brooks and Faff (1995) and Brooks, Faff and McKenzie (1997), we find evidence consistent with the hypothesis that deregulation has impacted the risk of banking sector stocks.

Suggested Citation

  • Frida Lie & Robert Brooks & Robert Faff, 2000. "Modelling the Equity Beta Risk of Australian Financial Sector Companies," Australian Economic Papers, Wiley Blackwell, vol. 39(3), pages 301-311, September.
    • Handle: RePEc:bla:ausecp:v:39:y:2000:i:3:p:301-311
    DOI: 10.1111/1467-8454.00093
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    Cited by:

    1. Susan Ryan & Andrew C. Worthington, 2002. "Time-Varying Market, Interest Rate and Exchange Rate Risk in Australian Bank Portfolio Stock Returns: A Garch-M Approach," School of Economics and Finance Discussion Papers and Working Papers Series 112, School of Economics and Finance, Queensland University of Technology.
    2. Szczepocki Piotr, 2019. "Clustering Companies Listed on the Warsaw Stock Exchange According to Time-Varying Beta," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 23(2), pages 63-79, June.
    3. Tomas Adam & Sona Benecka & Ivo Jansky, 2012. "Time-Varying Betas of Banking Sectors," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(6), pages 485-504, December.
    4. Magdalena Mikolajek-Gocejna, 2021. "Estimation, Instability, and Non-Stationarity of Beta Coefficients for Twenty-four Emerging Markets in 2005-2021," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 370-395.
    5. Sibel Celik, 2013. "Testing the Stability of Beta: A Sectoral Analysis in Turkish Stock Market," Journal of Economics and Behavioral Studies, AMH International, vol. 5(1), pages 18-23.
    6. Sascha Mergner & Jan Bulla, 2008. "Time-varying beta risk of Pan-European industry portfolios: A comparison of alternative modeling techniques," The European Journal of Finance, Taylor & Francis Journals, vol. 14(8), pages 771-802.
    7. Prukumpai, Suthawan, 2015. "Time-varying Industrial Portfolio Betas under the Regime-switching Model:Evidence from the Stock Exchange of Thailand," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 22(2), December.
    8. Layal MansourIshrakieh & Leila Dagher & Sadika El Hariri, 2020. "A financial stress index for a highly dollarized developing country : The case of Lebanon," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(2), pages 43-52.
    9. Dr. Ibrahim Onour, "undated". "The Global Financial Crisis and Equity Markets in Middle East Oil Exporting Countries," API-Working Paper Series 1009, Arab Planning Institute - Kuwait, Information Center.
    10. Cathy W. S. Chen & Richard H. Gerlach & Ann M. H. Lin, 2011. "Multi-regime nonlinear capital asset pricing models," Quantitative Finance, Taylor & Francis Journals, vol. 11(9), pages 1421-1438, April.
    11. Francisco José López-Arceiz & Ana José Bellostas-Pérezgrueso & José Mariano Moneva, 2018. "Evaluation of the Cultural Environment’s Impact on the Performance of the Socially Responsible Investment Funds," Journal of Business Ethics, Springer, vol. 150(1), pages 259-278, June.
    12. Асатуров К.Г., 2015. "Динамические Модели Систематического Риска: Сравнение На Примере Индийского Фондового Рынка," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 51(4), pages 59-75, октябрь.
    13. Bogdan, Sinisa & Baresa, Suzana & Ivanovic, Sasa, 2010. "Portfolio Analysis Based On The Example Of Zagreb Stock Exchange," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 1(1), pages 39-52.
    14. Duc Hong Vo & Thach Ngoc Pham, 2017. "Systematic Risk in Energy Businesses: Empirical Evidence for the ASEAN," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 553-565.
    15. Ortas, Eduardo & Moneva, José M. & Salvador, Manuel, 2012. "Does socially responsible investment equity indexes in emerging markets pay off? Evidence from Brazil," Emerging Markets Review, Elsevier, vol. 13(4), pages 581-597.
    16. Pariyada Sukcharoensin, 2013. "Time-Varying Market, Interest Rate and Exchange Rate Risks of Thai Commercial Banks," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 9(1), pages 25-45.
    17. Suthawan Prukumpai, 2015. "Time-varying Industrial Portfolio Betas under the Regime-switching Model: Evidence from the Stock Exchange of Thailand," Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 22(2), pages 54-76, December.
    18. Magdalena Mikolajek-Gocejna, 2022. "Systematic Risk of ESG Companies Listed on the Polish Capital Market in 2019-2022," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 597-615.
    19. Seth Armitage & Janusz Brzeszczynski, 2011. "Heteroscedasticity and interval effects in estimating beta: UK evidence," Applied Financial Economics, Taylor & Francis Journals, vol. 21(20), pages 1525-1538.
    20. Barbara Bedowska-Sojka, 2017. "Evaluating the Accuracy of Time-varying Beta. The Evidence from Poland," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 161-176.

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