Estimating Stock Market Volatility Using Exponential Garch Model with Skewed Student- T Distribution

Syamraj Kp, Regina Sibi Cleetus
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Abstract

The aim of the study is to empirically investigate the performance of the EGARCH (1, 1) volatility model with the normal, skew-normal, and student t and skewed student t distributions on the NSE Nifty Fifty Index. Ten years of daily closing rates over the period of January 2010 to December 2020, for a total of 2730 observations, have been analyzed. According to the information criterion, this study has found that the EGARCH (1, 1) model under skewed student t distribution is a better fit than other distribution models.
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用偏态Student- T分布的指数Garch模型估计股票市场波动
本研究的目的是实证研究EGARCH(1,1)波动率模型在NSE Nifty Fifty指数上的正态、偏态、学生t和偏态学生t分布的表现。本文分析了2010年1月至2020年12月期间共2730个观测值的10年每日收盘率。根据信息准则,本研究发现偏态学生t分布下的EGARCH(1,1)模型比其他分布模型具有更好的拟合性。
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