What Do the Value at Risk Measure and the Respective Legislative Framework Really Offer to Financial Stability? Critical Views and Procyclicality
European Journal of Economics and Economic Policies: Intervention, Vol. 17 No. 1, 2020, pp. 39–60 First published online: January 2019; doi: 10.4337/ejeep.2019.0040
22 Pages Posted: 21 Dec 2017 Last revised: 9 May 2022
Date Written: December 18, 2017
Abstract
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 legislation 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 applied the commonly used historical simulation VaR model (HVaR), which is: (a) taught at most finance classes, (b) widely applied in the financial industry, and (c) 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 it does not give any signal for trends in the near future. 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% leads to hidden procyclicality. Scholars and researchers should focus on issues such as the abovementioned, otherwise the VaR estimations will become, sooner or later, just a formality, and conventional statistical measures like that rarely contribute to financial stability.
Keywords: Value at Risk, Procyclicality, Early Warning Indicators, Efficient Legislative Framework, Estimations Accuracy
JEL Classification: G01, G15, G28, G32
Suggested Citation: Suggested Citation