Article ID Journal Published Year Pages File Type
5083708 International Review of Economics & Finance 2013 15 Pages PDF
Abstract

A risk management strategy is proposed as being robust to the Global Financial Crisis (GFC) by selecting a Value-at-Risk (VaR) forecast that combines the forecasts of different VaR models. The robust forecast is based on the median of the point VaR forecasts of a set of conditional volatility models. This risk management strategy is GFC-robust in the sense that maintaining the same risk management strategies before, during and after a financial crisis would lead to comparatively low daily capital charges and violation penalties. The new method is illustrated by using the S&P500 index before, during and after the 2008-09 global financial crisis. We investigate the performance of a variety of single and combined VaR forecasts in terms of daily capital requirements and violation penalties under the Basel II Accord, as well as other criteria. The median VaR risk management strategy is GFC-robust as it provides stable results across different periods relative to other VaR forecasting models. The new strategy based on combined forecasts of single models is straightforward to incorporate into existing computer software packages that are used by banks and other financial institutions.

► We analyzed strategies for managing the market risk through forecasting VaR. ► We forecast VaR using well known univariate GARCH models and combinations of models. ► The risk estimates are used to determine capital requirements of financial institutions. ► A strategy of choosing the median is robust to the Global Financial Crisis.

Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
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