Prediksi Return Emerging Market di Indonesia Dan Malaysia

Ossi Ferli
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Abstract

The purpose of this research is to models daily returns with conditional heterocedasticity to investigate the volatility of returns by using mean process model of AR(1) and comparing two conditional variance model EGARCH and GARCH (1,1) of Indonesia and Malaysia stock index market. The result of the research are EGARCH are a better predictor for return volatility of Indonesia and Malaysia.
本研究的目的是利用AR(1)的均值过程模型,比较印尼和马来西亚股市的两个条件方差模型EGARCH和GARCH(1,1),用条件异方差对日收益进行建模,研究收益的波动性。研究结果表明,EGARCH能较好地预测印尼和马来西亚的收益波动。
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