ANALISIS MODEL THRESHOLD GARCH DAN MODEL EXPONENTIAL GARCH PADA PERAMALAN IHSG
Abstract
The purpose of this research were to know (1) the best model among TGARCH model and EGARCH model on predicting JCI value in BEI (2) the results forecasting JCI value in BEI using the best model for a few days later. This reseacrh focused on analysis of TGARCH and EGARCH models in forecasting JCI value. Procedure which used in this research were formulate problem, collecting data, analysis data dan conclusion. Data collected with documentation method that is collected secondary data and literature. Software EVIEWS 6 used as a analysis tool of JCI data. This research result in conclusions that is (1) The best model among models TGARCH and EGARCH models on predicting JCI value in BEI is TGARCH model (2) The results forecasting JCI value in BEI use TGARCH model for day 42th is 5112.81 and for day 43th until day 50th obtained 5112.82 (constant).
References
Badan Pengawas Pasar Modal. 2003. Panduan Investasi di Pasar Modal Indonesia. Badan Pengawas Pasar Modal:Jakarta.
Barimah, A. 2014. Exponential GARCH Modelling of the Inflation-Inflation Uncertainty Relationship for Ghana. Modern Economy, (5): 506-519.
Bollerslev. 1985. Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, (31): 307-327.
Gumanti, T.A. 2011. Manajemen Investasi. Mitra Wacana Media: Jakarta.
Islam, M.A. 2014. A Study on the Performance of Symmetric and Asymmetric GARCH Models in Estimating Stock Returns Volatility.International Journalof Empirical Finance, (2): 182-192.
Siahaan,H. 2007. Analisa Risiko Dan Pengembalian Satu Saham dan Analisa Portofolio Dua Saham. Universitas Tarumanagara: Jakarta.
Wilson, J.H & Keating B. 2007. Business Forecasting with Accompanying Excel-Based Forecastxtn Software. McGraw-Hill: New York.
Zhang, G. 2003. Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing, (50):159-175.