Evaluating multiple sources of risk is an important problem with many applications in finance and economics. In practice this evaluation remains challenging. We propose a simple non-parametric framework with several economic and statistical applications. In an empirical study, we illustrate the flexibility of our technique by applying it to the evaluation of multidimensional density forecasts, multidimensional Value at Risk and Dependence in Risk.
|Journal||Journal of Banking and Finance|
|Early online date||30 Aug 2013|
|Publication status||Published - 30 Aug 2013|
- Multiple Sources of Risk, Multidimensional Value at Risk, Risk Distribution, Dependence in Risk, Systemic Risk