风险价值衡量标准和相应的立法框架真正为金融稳定提供了什么?批判观点和顺周期性

Pub Date : 2020-04-17 DOI:10.4337/EJEEP.2019.0040
Evangelos Vasileiou, Themis D. Pantos
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引用次数: 3

摘要

本文探讨了风险价值(VaR)对金融市场稳定性的影响。我们将欧洲证券监管委员会(CESR) 2010年发布的《UCITS全球风险敞口和交易对手风险测量和计算指南》应用于12个以欧元为官方货币的国家的主要股票市场指数。我们发现,立法框架的缺陷促使投资基金采用传统模型进行VaR估计,以避免先进模型所带来的成本增加。为此,我们采用了常用的历史模拟VaR (HVaR)模型,该模型是:(i)在大多数金融课程中教授;(二)在金融业广泛应用;(iii)被CESR接受(2010)。实证证据表明,HVaR并没有真正促进金融稳定,立法框架也没有提供适当的指导。HVaR模型不能代表真实的金融风险,也不能给出近期趋势的任何信号。HVaR绝对是向后看的,这增加了股市的过度反应。CESR(2010)的建议置信水平设置为99%,这一事实导致隐藏的顺周期性。学者和研究人员应该关注上述问题,否则VaR估计迟早会成为一种形式,这种传统的统计措施很少有助于金融稳定。
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What do the value-at-risk measure and the respective legislative framework really offer to financial stability? Critical views and pro-cyclicality
In this paper, we examine how value at risk (VaR) contributes to the financial market's stability. We apply the Guidelines on Risk Measurement and the Calculation of Global Exposure and Counterparty Risk for UCITS of the Committee of European Securities Regulators (CESR 2010) to the main indices of the 12 stock markets of the countries that have used the euro as their official currency since its initial circulation. We show that gaps in the legislative framework give incentives to investment funds to adopt conventional models for the VaR estimation in order to avoid the increased costs that the advanced models involve. For this reason, we apply the commonly used historical simulation VaR (HVaR) model, which is: (i) taught at most finance classes; (ii) widely applied in the financial industry; and (iii) accepted by CESR (2010). The empirical evidence shows the HVaR does not really contribute to financial stability, and the legislative framework does not offer the appropriate guidance. The HVaR model is not representative of the real financial risk, and does not give any signal for trends in the near future. The HVaR is absolutely backward-looking and this increases the stock market's overreaction. The fact that the suggested confidence level in CESR (2010) is set at 99 percent leads to hidden pro-cyclicality. Scholars and researchers should focus on issues such as the abovementioned, otherwise the VaR estimations will become, sooner or later, just a formality, and such conventional statistical measures rarely contribute to financial stability.
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