经济政策不确定性与新兴股市波动

IF 2.5 Q2 ECONOMICS
Maria Ghani, Usman Ghani
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引用次数: 0

摘要

本研究探讨了经济政策不确定性(EPU)指数对巴基斯坦股市波动的影响。特别是,我们研究了经济政策不确定性指数对巴基斯坦和全球双边贸易伙伴国(美国、中国和英国)的影响。我们采用 GARCH-MIDAS 模型和组合预测方法来评估经济不确定性指数的表现。实证研究结果表明,美国经济政策不确定性指数对巴基斯坦股市波动的预测作用更强。此外,英国的 EPU 指数也为股市波动预测提供了有价值的信息。令人惊讶的是,在样本期间,巴基斯坦和中国的 EPU 指数对波动率预测没有显著的预测信息。最后,我们发现在 COVID-19 大流行所引发的经济动荡期间,所有不确定性指数都能提供证据。即使在 COVID-19 期间,我们也获得了相同的结果。我们的研究结果在各种评估方法中都是稳健的,如 MCS 检验和其他预测窗口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic Policy Uncertainty and Emerging Stock Market Volatility

This research examines the effect of economic policy uncertainty (EPU) indices on Pakistan's stock market volatility. Particularly, we examine the impact of the economic policy uncertainty index for Pakistan and bilateral global trading partner countries, the US, China, and the UK. We employ the GARCH-MIDAS model and combination forecast approach to evaluate the performance of economic uncertainty indices. The empirical findings show that the US economic policy uncertainty index is a more powerful predictor of Pakistan stock market volatility. In addition, the EPU index for the UK also provides valuable information for equity market volatility prediction. Surprisingly, Pakistan and China EPU indices have no significant predictive information for volatility forecasting during the sample period. Lastly, we find evidence of all uncertainty indices during economic upheaval from the COVID-19 pandemic. We obtained identical results even during the Covid-19. Our findings are robust in various evaluation methods, like MCS tests and other forecasting windows.

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来源期刊
CiteScore
3.00
自引率
0.00%
发文量
34
期刊介绍: The current remarkable growth in the Asia-Pacific financial markets is certain to continue. These markets are expected to play a further important role in the world capital markets for investment and risk management. In accordance with this development, Asia-Pacific Financial Markets (formerly Financial Engineering and the Japanese Markets), the official journal of the Japanese Association of Financial Econometrics and Engineering (JAFEE), is expected to provide an international forum for researchers and practitioners in academia, industry, and government, who engage in empirical and/or theoretical research into the financial markets. We invite submission of quality papers on all aspects of finance and financial engineering. Here we interpret the term ''financial engineering'' broadly enough to cover such topics as financial time series, portfolio analysis, global asset allocation, trading strategy for investment, optimization methods, macro monetary economic analysis and pricing models for various financial assets including derivatives We stress that purely theoretical papers, as well as empirical studies that use Asia-Pacific market data, are welcome. Officially cited as: Asia-Pac Financ Markets
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