巴塞尔2.5资本监管框架和2019冠状病毒病危机:来自道德投资市场的证据

Q1 Social Sciences
Wassim Ben Ayed, Rim Ben Hassen
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引用次数: 0

摘要

本研究旨在评估几种风险价值(VaR)方法在流行病卫生危机期间确定伊斯兰股票市场最低资本要求(MCR)的准确性。本研究根据巴塞尔协议II和巴塞尔协议II.5的十个伊斯兰指数准则,评估了用于计算市场风险MCR的众多VaR模型的性能。在三种创新(正态(N),学生(St)和偏态学生(Sk-t)和极值理论(EVT)下,应用了五种模型-即风险度量,广义自回归条件异方差(GARCH),分数积分GARCH (FIGARCH)和样条GARCH方法。实证研究的主要发现是:(1)在市场危机期间,极值理论对大多数指标都有更好的表现;(2)在正态分布下的VaR模型在风险估计方面的表现明显不如具有厚尾创新的模型。由于世界目前正在经历第三波COVID-19大流行,本研究将无法评估VaR模型在第四波COVID-19期间的表现。结果表明,伊斯兰金融服务委员会(IFSB)应加强市场纪律机制,而中央银行和国家当局应协调其监管框架,以符合巴塞尔/IFSB改革议程。原创性/价值以往的研究主要是利用非伊斯兰指数来评估市场风险模型。然而,本研究使用伊斯兰指数来分析VaR预测模型。此外,他们在传统GARCH模型的基础上检验了VaR模型的准确性,而作者则引入了Engle和Rangel(2008)开发的样条GARCH模型。最后,大多数研究都集中在2007-2008年金融危机期间,而作者则研究了COVID-19卫生危机期间几个伊斯兰市场公平的市场风险量化问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Basel 2.5 capital regulatory framework and the COVID-19 crisis: evidence from the ethical investment market
Purpose This research aims to evaluate the accuracy of several Value-at-Risk (VaR) approaches for determining the Minimum Capital Requirement (MCR) for Islamic stock markets during the pandemic health crisis. Design/methodology/approach This research evaluates the performance of numerous VaR models for computing the MCR for market risk in compliance with the Basel II and Basel II.5 guidelines for ten Islamic indices. Five models were applied—namely the RiskMetrics, Generalized Autoregressive Conditional Heteroskedasticity, denoted (GARCH), fractional integrated GARCH, denoted (FIGARCH), and SPLINE-GARCH approaches—under three innovations (normal (N), Student (St) and skewed-Student (Sk-t) and the extreme value theory (EVT). Findings The main findings of this empirical study reveal that (1) extreme value theory performs better for most indices during the market crisis and (2) VaR models under a normal distribution provide quite poor performance than models with fat-tailed innovations in terms of risk estimation. Research limitations/implications Since the world is now undergoing the third wave of the COVID-19 pandemic, this study will not be able to assess performance of VaR models during the fourth wave of COVID-19. Practical implications The results suggest that the Islamic Financial Services Board (IFSB) should enhance market discipline mechanisms, while central banks and national authorities should harmonize their regulatory frameworks in line with Basel/IFSB reform agenda. Originality/value Previous studies focused on evaluating market risk models using non-Islamic indexes. However, this research uses the Islamic indexes to analyze the VaR forecasting models. Besides, they tested the accuracy of VaR models based on traditional GARCH models, whereas the authors introduce the Spline GARCH developed by Engle and Rangel (2008). Finally, most studies have focus on the period of 2007–2008 financial crisis, while the authors investigate the issue of market risk quantification for several Islamic market equity during the sanitary crisis of COVID-19.
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来源期刊
CiteScore
9.40
自引率
0.00%
发文量
23
审稿时长
24 weeks
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