Volatility Model with Markov Regime Switching to Forecast Baht/USD
Authors: N. Sopipan, A. Intarasit, K. Chuarkham
Abstract:
In this paper, we forecast the volatility of Baht/USDs using Markov Regime Switching GARCH (MRS-GARCH) models. These models allow volatility to have different dynamics according to unobserved regime variables. The main purpose of this paper is to find out whether MRS-GARCH models are an improvement on the GARCH type models in terms of modeling and forecasting Baht/USD volatility. The MRS-GARCH is the best performance model for Baht/USD volatility in short term but the GARCH model is best perform for long term.
Keywords: Volatility, Markov Regime Switching, Forecasting.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1092516
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1940References:
[1] Mehmet A. "Analysis of Turkish Financial Market with Markov Regime Switching Volatility Models”.The Middle East Technical University.2008.
[2] Engle R., "Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of United Kingdom Inflation”. Econometrica , Vol.50 No.4 , 1982,pp. 987-1008.
[3] Bollerslev T., "Generalized Autoregressive Conditional Heteroskedasticity”. Journal of Econometrics, Vol.31,1986, pp. 307-327.
[4] Haminton J.D and R. Susmel. "Autoregressive Conditional Heteroskedasticity and Change in Regime”. Journal of Econometrics, Vol. 64, 1994, pp.307-333.
[5] Gray, S. "Modeling the Conditional Distribution of Interest Rates as a Regime-Switching Process.” Journal of Financial Economics. Vol. 42,1996, pp. 27-62.
[6] Klaanssen, F. "Improving GARCH Volatility Forecasts with Regime-Switching GARCH”. Empirical Economics, Vol.27, 2002, pp. 363-394.
[7] Marcucci J. "Forecasting Financial Market Volatility with Regime-Switching GARCH Model.” Working paper, Department of Economics, University of California at San Diego.2005.
[8] P. Sattayatham, N. Sopipan and B. Premanode. "Forecasting Volatility and Price of the SET50 Index using the Markov Regime Switching.” Procedia Economics and Finance, 2012.
[9] Kim C.J. and C.R.Nelson. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications.” MIT Press, Cambridge, MA.1999.
[10] Hamilton J.D. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle.” Econometrica , Vol. 57. No 2, 1989.
[11] Hamilton J.D. "Analysis of Time Series Subject to Change in Regime”. Journal of Econometrics , Vol.45,1990, pp. 39-70.