The Sign RCA Models: Comparing Predictive Accuracy of VaR Measures
Journal Title: Dynamic Econometric Models - Year 2010, Vol 10, Issue 1
Abstract
Evaluating Value at Risk (VaR) methods of predictive accuracy in an objective and effective framework is important for both efficient capital allocation and loss prediction. From this reasons, finding an adequate method of estimating and backtesting is crucial for both the regulators and the risk managers’. The Sign RCA models may be useful to obtain the accurate forecasts of VaR. In this research one briefly describes the Sign RCA models, the Value at Risk and backtesting. We compare the predictive accuracy of alternative VaR forecasts obtained from different models. Empirical example is mainly related to the PBG Capital Group shares on the Warsaw Stock Exchange.
Authors and Affiliations
Joanna Górka
Keywords
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