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MES vs ∆CoVaR: Empirical evidence from Pakistan
Cogent Business & Management ( IF 3.0 ) Pub Date : 2021-07-19 , DOI: 10.1080/23311975.2021.1938927
Hasan Hanif 1 , Imran Yousaf 2 , Abdul waheed 2 , Waseem ullah 3
Affiliation  

Abstract

The global financial crisis unveiled that inadequate analysis of risk can annihilate the financial system and repercussions can encompass the whole economy. Pakistan is one of the developing economies that has experienced robust growth in the banking sector. This hard earned growth can only be sustained by adequately examining the risk exposure of the financial system. Consistent with this purview, this study attempts to comprehensively analyse for the first time, the systemic importance of financial institutions of Pakistan using ∆CoVaR and MES. Moreover, the study employs System GMM to analyze the bank, sector and country level determinants of systemic risk measures. The findings of the study signify that MES and ∆CoVaR measures identify different institutions as systemically important. Similarly, the influence of variables also changes with change in the systemic measure. The estimation of determinants of systemic risk outline that non-interst income is insignificant when MES is used as measure of systemic risk but the same turns significant for ∆CoVaR. The impact of deposit ratio also changes across the measures of systemic risk. Concentration has positive impact on MES but negatively influences ∆CoVaR. Finally, the impact of bank claims also varies across the measures of systemic risk. The study contributes to the literature by highlighting the complementary nature of systemic risk measures for the first time in a developing economy like Pakistan. The study also identifies important relationships necessary to chalk out micro and macro prudential regulations imperative for the stability of financial system.



中文翻译:

MES 与 ∆CoVaR:来自巴基斯坦的经验证据

摘要

全球金融危机表明,对风险的不充分分析可能会摧毁金融体系,其影响可能会覆盖整个经济。巴基斯坦是银行业经历强劲增长的发展中经济体之一。这种来之不易的增长只能通过充分检查金融体系的风险敞口来维持。与此权限一致,本研究首次尝试使用 ∆CoVaR 和 MES 全面分析巴基斯坦金融机构的系统重要性。此外,该研究使用系统 GMM 来分析系统性风险措施的银行、部门和国家层面的决定因素。研究结果表明 MES 和 ΔCoVaR 措施将不同机构确定为具有系统重要性。相似地,变量的影响也随着系统措施的变化而变化。系统风险决定因素的估计表明,当 MES 被用作系统风险的衡量标准时,非利息收入是微不足道的,但对于 ΔCoVaR 来说,同样变得显着。存款比率的影响也随着系统性风险的衡量而变化。浓度对 MES 有正面影响,但对 ∆CoVaR 有负面影响。最后,银行债权的影响也因系统性风险的衡量标准而异。该研究首次强调了系统性风险措施在巴基斯坦这样的发展中经济体中的互补性,从而为文献做出了贡献。该研究还确定了必要的重要关系,以制定对金融体系稳定至关重要的微观和宏观审慎监管。系统风险决定因素的估计表明,当 MES 被用作系统风险的衡量标准时,非利息收入是微不足道的,但对于 ΔCoVaR 来说,同样变得显着。存款比率的影响也会随着系统性风险的衡量而变化。浓度对 MES 有正面影响,但对 ∆CoVaR 有负面影响。最后,银行债权的影响也因系统性风险的衡量标准而异。该研究首次强调了系统性风险措施在巴基斯坦这样的发展中经济体中的互补性,从而为文献做出了贡献。该研究还确定了必要的重要关系,以制定对金融体系稳定至关重要的微观和宏观审慎监管。系统风险决定因素的估计表明,当 MES 被用作系统风险的衡量标准时,非利息收入是微不足道的,但对于 ∆CoVaR 来说,同样变得显着。存款比率的影响也随着系统性风险的衡量而变化。浓度对 MES 有正面影响,但对 ∆CoVaR 有负面影响。最后,银行债权的影响也因系统性风险的衡量标准而异。该研究首次强调了系统性风险措施在巴基斯坦这样的发展中经济体中的互补性,从而为文献做出了贡献。该研究还确定了必要的重要关系,以制定对金融体系稳定至关重要的微观和宏观审慎监管。

更新日期:2021-07-20
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