Procyclicality and Value at Risk
نویسنده
چکیده
simply stated, a vaR model is a model of the distribution of future profits and losses of a bank’s trading portfolio. vaR models combine information on a bank’s trading positions across various products with statistical estimations of the probability distribution of the underlying market factors and their relation to each other. the final output of a vaR model is a vaR estimate, which is defined as the maximum amount of money that a bank would expect to lose over a defined period and with a defined confidence level. For example, if a bank has a 99 per cent, 1-day vaR of $100 million, this means that 99 times out of 100, the bank’s trading portfolio should not lose more than $100 million the next day. put another way, one day out of 100, the bank should expect to lose $100 million or more.
منابع مشابه
The link between default and recovery rates: effects on the procyclicality of regulatory capital ratios - BIS Working Papers No 113 - July 2002
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