Template-Type: ReDIF-Article 1.0
Author-Name: P. Sattayatham
Author-Name: N. Sopipan
Author-Name: B. Premanode
Title:  Forecasting the Stock Exchange of Thailand uses Day of the Week Effect and Markov Regime Switching GARCH
Abstract:  <b>Problem statement:</b> We forecast return and volatility of the Stock Exchange of Thailand (SET) Index. <b>Approach:</b> In this study, we modeled the SET Index returns using mean equation with day of the week effect and autoregressive moving-average. Next we forecast the volatility of the SET Index by using the GARCH-type model and the Markov Regime Switching GARCH (MRS-GARCH) model. <b>Results:</b> When we model the SET Index by the ARMA (3, 3) process, we find that Friday is the day of the effect of the SET Index. The empirical analysis demonstrates that the MRS-GARCH models outperform all GARCH-type models in forecasting volatility at long term horizons (two weeks and a month). <b>Conclusion:</b> The ARMA (3, 3) and the Friday is the day of the effect of the SET Index return. The MRS-GARCH models outperform at long term horizons.
Keywords: Volatility forecasting, SET index, GARCH models, Markov regime switching, stock exchange, models outperform, empirical analysis
Journal: American Journal of Economics and Business Administration
Pages: 84-93
Volume: 4
Issue: 1
Year: 2012
Month: March
DOI: 10.3844/ajebasp.2012.84.93
File-URL: https://thescipub.com/pdf/ajebasp.2012.84.93.pdf
File-Format: Application/pdf
File-URL: https://thescipub.com/abstract/ajebasp.2012.84.93
File-Format: text/html
Handle: RePEc:abk:jajeba:ajebasp.2012.84.93