ARCH/GARCH的方法是预测COVID大流行和股票波动造成的经济不确定性

S. Sumiyati, Boy Dian Anugra Arisandi, Panggio Restu Wilujeng
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引用次数: 1

摘要

美国和印度尼西亚的资本市场经历了股灾,股票价格急剧下跌,几个股票指数被迫提前收盘。本研究旨在确定当COVID-19疫情袭击印度尼西亚时,经济不确定性对市场反应的影响。本研究采用事件研究法进行定量研究。时间为2020年2月至3月。数据是从www.policyuncertainty.com获得的时间序列,用于计算经济政策不确定性(EPU)指数,作为衡量经济不确定性变量的指标。与此同时,股票回报使用JCI 2020年2月至3月的收盘价来衡量波动性。数据处理采用单位根检验-增强Dickey-Fuller检验平稳性,ARCH/GARCH法检验变量的影响。结果表明,EPU在短期内对印尼股市波动没有影响,但在长期内有影响。本研究有助于事件研究文献的发展,研究不可预测事件对资本市场投资者行为的影响。以及对利益相关者为应对未来经济不确定性而制定的政策的回应……
本文章由计算机程序翻译,如有差异,请以英文原文为准。
METODE ARCH/GARCH UNTUK MEMPREDIKSI HUBUNGAN ECONOMIC UNCERTAINTY AKIBAT PANDEMI COVID 19 DAN VOLATILITAS SAHAM
The capital markets of the United States and Indonesia experienced stock market crashes in which stock prices fell sharply and several stock indexes were forced to close prematurely. This study aims to determine the effect of economic uncertainty on the market reaction when the COVID-19 outbreak hit Indonesia. This research is a quantitative research with an event study approach. The time period starts from February to March 2020. The data is time series obtained from  www.policyuncertainty.com to calculate the Economic Policy Uncertainty (EPU) Index as a measure of the economic uncertainty variable. Meanwhile, stock returns used the closing stock prices of JCI from February to March 2020 to measure volatility. The data were processed using the Unit Root Test- Augmented Dickey-Fuller to test the stationary and the ARCH/GARCH method to test the effect of the variable. The results show that EPU has no effect on stock volatility in Indonesia in the short term, but has an effect in the long term. This research contributes to the development of the event study literature in the behavior of investors in the capital market as a result of unpredictable events. As well as responses to policies formulated by stakeholders to address future economic uncertainties..
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