This paper presents a methodology to analyze the Value at Risk (VaR) backtesting probability values to detect the soundness of the VaR model, the integrity of the VaR input and output as well as providing information about the type of the risk that a subportfolio is exposed to in every trading...

Developing a closed-form integral Vasicek representation of loss distribution for non-uniform credit portfolio (i.e. with varying PDs and structured correlations), which i) is non-iterative and computationally fast as opposed to standard Monte-Carlo, and ii) enables efficient analytic estimators...