Empirical investigation of maximum loss calculed by VaR: comparison of Delta-Normal VaR in times of crisis whith occurrence of loss in IBOVESPA
Keywords:
Risk. Value-at-Risk. Financial crisis. Maximum loss.Abstract
Analysis of risks and knowledge are key parts to any institution in the financial market. With the evolution of science, new tools will be made available for the measurement of financial risk among the most used is the Value-at-Risk (Value at Risk or VaR). Another risk factor that has been occurring frequently are financial crises, or systemic, that change the behavior of the market. Given the importance of the tool and its varied calculation methodology, this study proposes to verify whether the VaR can correctly predict the maximum expected loss, and its relation to periods in which the occurrence of crises. Calculations were performed for the period January 1996 to September/2009, taking the Bovespa index as active and using the Delta-Normal VaR method. Based on the results was verified in quarterly and annual periods, the value at risk cannot correctly predict the maximum expected loss, especially in times of crisis, which had a higher margin of error, because the normal distribution does not model the results extremes obtained in real sample.
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