We develop distress prediction models for non-financial small and medium sized enterprises (SMEs) using a dataset from eight European countries over the period 2000-2009. We examine idiosyncratic and systematic covariates and find that macro conditions and bankruptcy codes add predictive power...

While empirical literature has documented a negative relation between default risk and stock returns, the theory suggests that default risk should be positively priced. We provide an explanation for this "default anomaly", by calculating monthly probabilities of default (PDs) for a large sample...

In this paper, we measure currency carry trade funding risk using stock market volatility and crash risk in Japan, the main funding currency country. We show that the measures of funding risk in Japan can explain 42% of the monthly currency carry trade returns during our sample period,...

While empirical literature has documented a negative relation between default risk and stock returns, theory suggests that default risk should be positively priced. In this paper, we calculate monthly probabilities of default (PDs) for a large sample of European firms and break them down into...

In this paper, we examine idiosyncratic and systematic distress predictors for small and medium sized enterprises (SMEs) in Europe over the period 2000-2009. We find that SMEs across European regions are vulnerable to common idiosyncratic factors but systematic factors vary. Moreover, systematic...

We measure funding constraints in international currency markets by deviations in the covered interest rate parity. Our measure of funding risk is the standard deviation of the magnitude of the funding constraints. This funding risk measure appears to be driven by conditions in the financial...

While empirical literature has documented a negative relation between default risk and stock returns, the theory suggests that default risk should be positively priced. We provide an explanation for this "default anomaly", by calculating monthly probabilities of default (PDs) for a large sample...

We develop distress prediction models for non-financial small and medium sized enterprises (SMEs) using a dataset from eight European countries over the period 2000-2009. We examine idiosyncratic and systematic covariates and find that macro conditions and bankruptcy codes add predictive power...