Reza, Md. Ridwan and Masih, Mansur (2017): Regime switching behavior of volatilities of Islamic equities: evidence from Markov- Switching GARCH models for some selected broad based indices.
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Abstract
In this era of shaky global economic and financial conditions for about a decade now since the global financial crisis 2008, how the volatilities of Islamic equities worldwide are behaving, especially in terms of their regime changing behavior, if any, is the main issue of concern in this paper. To this end, a relatively novel technique, namely, Markov regime switching GARCH (MSGARCH) is applied to some selected broad based Islamic equity indices from both advanced and emerging world and of their combinations. The results tend to indicate that in general there is no persistence in any particular regime to prevail, rather a high regime switching behavior between volatile and less volatile regimes are present in Islamic equities around the world. This perhaps reflects the prolonged uncertainties prevailing in the world economies and therefore implies higher risk for the investors in predicting their investment outcome.
Item Type: | MPRA Paper |
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Original Title: | Regime switching behavior of volatilities of Islamic equities: evidence from Markov- Switching GARCH models for some selected broad based indices |
English Title: | Regime switching behavior of volatilities of Islamic equities: evidence from Markov- Switching GARCH models for some selected broad based indices |
Language: | English |
Keywords: | volatilities of Islamic equities, Markov regime switching, MSGARCH, GARCH |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C58 - Financial Econometrics G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 82123 |
Depositing User: | Professor Mansur Masih |
Date Deposited: | 23 Oct 2017 08:21 |
Last Modified: | 30 Sep 2019 06:04 |
References: | Abounoori, E., Elmi, Z., & Nademi, Y. (2016). Forecasting Tehran stock exchange volatility; Markov switching GARCH approach. Physica A: Statistical Mechanics and Its Applications, 445, 264–282. Ardia D, Bluteau K, Boudt K, Peterson B, Trottier DA (2016). MSGARCH: Markov-Switching GARCH Models in R. R package version 0.17.7 Babikir, A., Gupta, R., Mwabutwa, C., & Owusu-Sekyere, E. (2012). Structural breaks and GARCH models of stock return volatility: The case of South Africa. Economic Modelling, 29(6), 2435–2443. Cai, J. (1994). A Markov model of switching-regime ARCH. Journal of Business & Economic Statistics, 12(3), 309-316. Gray, S. F. (1996). Modeling the conditional distribution of interest rates as a regime-switching process. Journal of Financial Economics, 42(1), 27-62. Haas, M., & Pigorsch, C. (2009). Financial economics, fat-tailed distributions. In Complex systems in finance and econometrics (pp. 308-339). Springer New York. Hamilton, J. D., & Susmel, R. (1994). Autoregressive conditional heteroskedasticity and changes in regime. Journal of econometrics, 64(1), 307-333. Klaassen, F. (2002). Improving GARCH volatility forecasts with regime-switching GARCH. In Advances in Markov-Switching Models (pp. 223-254). Physica-Verlag HD. Lamoureux, C. G., & Lastrapes, W. D. (1990). Persistence in variance, structural change, and the GARCH model. Journal of Business & Economic Statistics, 8(2), 225-234. Mandelbrot, B. B. (1997). The variation of certain speculative prices. In Fractals and Scaling in Finance (pp. 371-418). Springer New York. Marcucci, J. (2005). Forecasting stock market volatility with regime-switching GARCH models. Studies in Nonlinear dynamics and Econometrics, 9(4), 1-53. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/82123 |