Abstract:
This Thesis focuses on the Marginal Expected Shortfall (MES) and its application in Finance as early-warning reference. I will specify a logit model that allows to link MES to the conditional probability of financial crisis.
The analysis includes a multinomial bayesian density estimation approach, and considers different crisis indicators as dependent variables.
