![]() The models have low accurately loss forecast for private bond and commodities indices, which indicates that methodologies focused on market risk are not appropriate for these assets categories. Among the assets, IFIX and IMA-B have the best performance for first analyse and Ibov for the second one. For both, GARCH and CVaR have the highest number of accurately violation ratio (VR) having the good performance validated by backtesting tests. Two analyses are made the first one considerate an estimation window of 1000 days and the second one 252 days. For the statistical results validation, are applied the Kupiec test, to evaluate the proportion of violations, and the Christoffersen test, to verify the adjustment speed of the model against market oscillations. Six different VaR methodologies are tested: Normal Delta, EWMA, GARCH, Historical Simulation (HS), Monte Carlo Simulation (MC) and CVaR, which have as main differences the treatment given to volatility and the inference about the returns distribution. This paper investigates the performance of VaR models for seven categories of assets traded in Brazilian market.
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