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Volatility Forecasting and Asymmetry Effect: Evidence from Dow Jones Sustainability Indices

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  • Subrata Roy

Abstract

The present study seeks to examine the varied asymmetric effects of Dow Jones Sustainability indices (DJSI) over a period from 1998 to 2020. Here, the study period is divided into three sub-periods (pre-recession, recession, and post-recession). The study applies ARCH and GARCH approaches to observe the nature of volatilities and their effect on their daily return. The study reports presence of significant asymmetric shocks and persistence of conditional volatilities in the daily returns during all the sub-periods. Moreover, leverage effects exist in the returns during the sub-periods except DJSI US. It is also observed that EGARCH and TARCH measures are appropriate in pre-recession and recession periods, but GARCH is gainful in post-recession.

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  • Subrata Roy, 2024. "Volatility Forecasting and Asymmetry Effect: Evidence from Dow Jones Sustainability Indices," Paradigm, , vol. 28(1), pages 26-44, June.
    • Handle: RePEc:sae:padigm:v:28:y:2024:i:1:p:26-44
    DOI: 10.1177/09718907241248249
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    1. Shunsuke Managi & Tatsuyoshi Okimoto & Akimi Matsuda, 2012. "Do socially responsible investment indexes outperform conventional indexes?," Applied Financial Economics, Taylor & Francis Journals, vol. 22(18), pages 1511-1527, September.
    2. Costanza Consolandi & Ameeta Jaiswal-Dale & Elisa Poggiani & Alessandro Vercelli, 2009. "Global Standards and Ethical Stock Indexes: The Case of the Dow Jones Sustainability Stoxx Index," Journal of Business Ethics, Springer, vol. 87(1), pages 185-197, April.
    3. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    4. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. 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.
    7. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    8. Chou, Ray Yeutien, 1988. "Volatility Persistence and Stock Valuations: Some Empirical Evidence Using Garch," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 3(4), pages 279-294, October-D.
    9. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    10. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    11. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    12. Nelson, Daniel B., 1990. "Stationarity and Persistence in the GARCH(1,1) Model," Econometric Theory, Cambridge University Press, vol. 6(3), pages 318-334, September.
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    Keywords

    ARCH; DJSI; EGARCH; GARCH; TARCH;
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