We are interested in forecasting bankruptcies in a probabilistic way. Specifically, we compare the classification performance of several statistical and machine-learning techniques, namely discriminant analysis (Altman's Z-score), logistic regression, least-squares support vector machines and...

The present study calculates the proportional liquidity usage of the Mexican Real Time Settlement Payment System, SPEI, during a one month period. In particular, our interest is to get insights on how different is the liquidity level at the settlement in real time of low and large value payment...

There is an ongoing debate about austerity and stimulus in the Euro zone. Moreover, given the fiscal and financial problems in the region, a default has appeared likely at times. In this context, this paper develops a dynamic stochastic quantitative model of sovereign default with fiscal policy,...

A credit default swap (CDS) is a financial contract in which the holder of the instrument will be compensated in the event of a loan default. When available, CDS's are used to monitor the credit risk of countries and companies. In this work we develop a closed form procedure to value a CDS in...

This paper examines empirically the effect of the level of personal bankruptcy protection in the US on households' demand for financial assets. A Chapter 7 bankruptcy allows protecting the home equity up to a certain limit or "exemption". Previous literature shows that such exemption biases...