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Time Varying Behavior of Share Returns in Australia: 1988–2004

Author

Listed:
  • Yew-Choe Lum

    (Executive Director, IVOS Education Sdn. Bhd. Malaysia)

  • Sardar M. N. Islam

    (Victoria University, City Flinders Campus, P.O. Box 14428, Melbourne, Victoria 8001, Australia)

Abstract

The model in this paper is similar to Brailsford and Faff (1997), using a conditional CAPM model with the GARCH-M framework, but with a significant additional dummy term (in the conditional mean of the share return) that will help explain the models better in both economic and statistical sense. The relatively simpler asymmetric model in this paper is compatible to other more complex asymmetric models and hence should be easier to model and explain for practical purposes. The model in this paper is also a more effective model, in both economical and statistical terms, as compared to some other models in the GARCH family as it captures the asymmetric effect in the modeling process in both the conditional first and second moments. The findings in this paper have contributed in re-evaluating the nature and process of time varying behavior of time series of stock returns and will provide researchers and practitioners additional options and incentives to explore for future research. We have also provided statistical and practical reasons to support these findings.

Suggested Citation

  • Yew-Choe Lum & Sardar M. N. Islam, 2016. "Time Varying Behavior of Share Returns in Australia: 1988–2004," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 1-14, March.
    • Handle: RePEc:wsi:rpbfmp:v:19:y:2016:i:01:n:s0219091516500041
    DOI: 10.1142/S0219091516500041
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    References listed on IDEAS

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    1. Campbell, John Y. & Hentschel, Ludger, 1992. "No news is good news *1: An asymmetric model of changing volatility in stock returns," Journal of Financial Economics, Elsevier, vol. 31(3), pages 281-318, June.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Brailsford, Timothy J., 1995. "Market closures and time-varying volatility in the Australian equity market," Journal of Empirical Finance, Elsevier, vol. 2(2), pages 165-172, June.
    4. 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.
    5. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    6. Babsiri, Mohamed El & Zakoian, Jean-Michel, 2001. "Contemporaneous asymmetry in GARCH processes," Journal of Econometrics, Elsevier, vol. 101(2), pages 257-294, April.
    7. Docherty, Paul & Chan, Howard & Easton, Steve, 2013. "Can we treat empirical regularities as state variables in the ICAPM? Evidence from Australia," Pacific-Basin Finance Journal, Elsevier, vol. 22(C), pages 107-124.
    8. Amado, Cristina & Teräsvirta, Timo, 2013. "Modelling volatility by variance decomposition," Journal of Econometrics, Elsevier, vol. 175(2), pages 142-153.
    9. Cheng-Few Lee & Jung-Bin Su, 2012. "Alternative statistical distributions for estimating value-at-risk: theory and evidence," Review of Quantitative Finance and Accounting, Springer, vol. 39(3), pages 309-331, October.
    10. Ching-Ping Wang & Hung-Hsi Huang & Kai-Jei Tu, 2012. "Unsystematic Risk Explanation to Momentum Profits in Taiwan," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 1-29.
    11. Tsai, Hsiu-Jung & Chen, Ming-Chi & Yang, Chih-Yuan, 2014. "A time-varying perspective on the CAPM and downside betas," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 440-454.
    12. Natarajana, Vinodh & Raja , Azariah & Priyac, Nagarajan, 2014. "Examining mean-volatility spillovers across national stock markets," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 19(36), pages 55-62.
    13. 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.
    14. Awartani, Basel M.A. & Corradi, Valentina, 2005. "Predicting the volatility of the S&P-500 stock index via GARCH models: the role of asymmetries," International Journal of Forecasting, Elsevier, vol. 21(1), pages 167-183.
    15. Fung, Alexander Kwok-Wah & Lam, Kin & Lam, Ka-Ming, 2010. "Do the prices of stock index futures in Asia overreact to U.S. market returns?," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 428-440, June.
    16. Ravinder Kumar Arora & Himadri Das & Pramod Kumar Jain, 2009. "Stock Returns and Volatility: Evidence from Select Emerging Markets," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 567-592.
    17. Elyas Elyasiani & Iqbal Mansur, 2005. "The Association Between Market and Exchange Rate Risks and Accounting Variables: A GARCH Model of the Japanese Banking Institutions," Review of Quantitative Finance and Accounting, Springer, vol. 25(2), pages 183-206, September.
    18. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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