Revisiting the economic growth in the shadow of financial stress in times of crisis: evidence from FIGARCH and wavelet coherence approach

Biswajit Paul, Raktim Ghosh, A. Sana, B. Bagchi, Priyajit Kumar Ghosh, Swarup Saha
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Abstract

PurposeThis study empirically investigates the interdependency of select Asian emerging economies along with the financial stress index during the times of the global financial crisis, the Euro crisis and the COVID-19 period. Moreover, it inspects the long-memory effects of the different crises during the study period.Design/methodology/approachTo address the objectives of the study, the authors apply different statistical tools, namely the adjusted correlation coefficient, fractionally integrated generalised autoregressive conditional heteroskedasticity (FIGARCH) model and wavelet coherence model, along with descriptive statistics.FindingsFinancial stress is having a prodigious effect on the economic growth of select economies. From the data analysis, it is found that the long-memory effect is noted in the gross domestic product (GDP) for India and Korea only, which implies that the volatility in the GDP series for these two nations demonstrates persistence and dependency on previous values over a lengthy period.Originality/valueThe study is unique of its kind to consider multi-segments within the period of the study to get a clear idea about the effects of the financial stress index on select Asian emerging economies by applying different econometric tools.
重新审视危机时期金融压力阴影下的经济增长:FIGARCH 和小波一致性方法提供的证据
目的 本研究以实证研究的方式探讨了在全球金融危机、欧元危机和 COVID-19 期间,选定的亚洲新兴经济体与金融压力指数之间的相互依存关系。为了实现研究目标,作者采用了不同的统计工具,即调整相关系数、分数综合广义自回归条件异方差(FIGARCH)模型和小波一致性模型以及描述性统计。从数据分析中可以发现,只有印度和韩国的国内生产总值(GDP)存在长期记忆效应,这意味着这两个国家的 GDP 序列波动在很长一段时间内表现出持续性和对先前值的依赖性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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