Value at Risk Estimation with Generative Adversarial Networks
Risk is of large importance for financial institutions and there are many different measures that can be used. A popular one is value at risk (VaR), which is the maximum likely loss for a portfolio of financial assets. Different methods of estimating it has been suggested, one often described is the variance-covariance method. Here a method based on a generative model called generative adversarial