2019冠状病毒病大流行期间股市波动建模:来自金砖国家的证据

Karunanithy Banumathy
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引用次数: 0

摘要

本研究的目的是确定新冠肺炎疫情期间金砖国家股市波动模式。该研究基于时间序列数据,包括金砖国家指数在2020年1月1日至2021年12月31日的两年(大流行)期间的每日收盘价。研究中采用了广义自回归条件异方差(GARCH)的对称和非对称模型来研究波动率是否在大流行期间发生变化。GARCH-M(1,1)模型的结果证明存在正且不显著的风险溢价。利用金砖国家市场指数进行实证研究,通过EGARCH(1,1)和TGARCH(1,1)模型发现,巴西、俄罗斯、印度、中国和南非存在杠杆效应。由于疫情期间的股价触发了整个金融市场,投资者、基金经理和投资组合经理应该更加了解不确定性,并需要相应地调整投资。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling Stock Market Volatility During the COVID-19 Pandemic: Evidence from BRICS Countries
The objective of the research paper is to identify the stock market volatility pattern of BRICS countries during the outbreak of the COVID-19 pandemic. The study is based on the time series data, which consists of the daily closing price of the BRICS countries' index for a two-year (pandemic) period from 1st January 2020 to 31st December 2021. Both the symmetric and asymmetric models of Generalized Autoregressive Conditional Heteroscedasticity (GARCH) have been employed in the study to investigate whether volatility changes over the pandemic period. The result of the GARCH-M (1,1) model evidenced the presence of a positive and insignificant risk premium. Based on the empirical work carried out using the market index of BRICS countries, it was found from EGARCH (1,1), and TGARCH (1,1) models that there exists a leverage effect in the countries, viz. Brazil, Russia, India, China and South Africa. Since the stock price during the pandemic period triggered the entire financial market, the investors, fund managers and portfolio managers should be more aware of the uncertainty and need to adjust their investments accordingly.
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