Diana Tisheva

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There are various approaches for development of Value at Risk (VaR) forecasting models but the final steps of a building procedure usually incorporate different validations of the models like adequacy tests and backtesting. These validations provide solid reasons to reject those models which do not pass the tests. However there are situations when several(More)
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