We propose a measure of the probability of crises associated with an aggregate indicator, where the percentage of false alarms and the proportion of missed signals can be combined to give an appreciation of the vulnerability of an economy. In this perspective, the important issue is not only to...

We propose a measure of the probability of crises associated with an aggregate indicator, where the percentage of false alarms and the proportion of missed signals can be combined to give an appreciation of the vulnerability of an economy. In this perspective, the important issue is not only to...

This paper proposes an original and uni ed toolbox to evaluate nancial crisis Early Warning Systems (EWS). It presents four main advantages. First, it is a model free method which can be used to asses the forecasts issued from di erent EWS (probit, logit, markov switching models, or combinations...

This paper investigates the impact of non-interest income businesses on bank lending. Using quarterly data on 8,287 U.S. commercial banks over 2003-2010, we find that the non-interest income activities of banks with total assets above $100 million ('non-micro' banks) influence credit risk. In...

In the context of rapid credit growth, the present paper investigates the supply side of the Serbian credit market. We use an on-site survey of banks aiming to describe financial intermediation by scanning the interest rates and other lending terms in Serbia. Findings from the survey suggest...

The procedures presented in this paper provide a dynamic apparatus of crediting the industrial operating systems with the assignment to avoid their correlated defaulting, to conserve general safety and soundness and improve its ability to serve as a source for sustainable growth for economy. The...

We propose a stable non-parametric algorithm for the calibration of pricing models for portfolio credit derivatives: given a set of observations of market spreads for CDO tranches, we construct a risk-neutral default intensity process for the portfolio underlying the CDO which matches these...

The present paper provides a multi-period contagion model in the credit risk field. Our model is an extension of Davis and Lo's infectious default model. We consider an economy of n firms which may default directly or may be infected by other defaulting firms (a domino effect being also...

Using a new dataset of bid and offer quotes for credit default swaps, we investigate the relationship between theoretical determinants of default risk and actual market premia using cross sectional regressions. These theoretical determinants are variance risk premia, implied volatility and the...

In this paper we use a hybrid Monte Carlo-Optimal quantization method to approximate the conditional survival probabilities of a firm, given a structural model for its credit defaul, under partial information. We consider the case when the firm's value is a non-observable stochastic process...