In recent years support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a moving...

We embed a structural model of credit risk inside a dynamic continuous-time consumption-based asset pricing model, which allows us to price equity and corporate debt in a unified framework. Our key economic assumptions are that the first and second moments of earnings and consumption growth...

"Intuition suggests that firms with higher cash holdings are safer and should have lower credit spreads. Yet empirically, the correlation between cash and spreads is robustly positive and higher for lower credit ratings. This puzzling finding can be explained by the precautionary motive for...

This paper proposes a rating methodology that is based on a non-linear classification method, the support vector machine, and a non-parametric technique for mapping rating scores into probabilities of default. We give an introduction to underlying statistical models and represent the results of...

Intuition suggests that firms with higher cash holdings are safer and should have lower credit spreads. Yet empirically, the correlation between cash and spreads is robustly positive and higher for lower credit ratings. This puzzling finding can be explained by the precautionary motive for...

Intuition suggests that firms with higher cash holdings are safer and should have lower credit spreads. Yet empirically, the correlation between cash and spreads is robustly positive and higher for lower credit ratings. This puzzling finding can be explained by the precautionary motive for...