The goal of this essay is to examine estimates of individual bank X-efficiency across time. First, we estimate a translog flexible function specification of bank efficiency during the period 1988-1997. Then, we estimate a time-series/cross-sectional model with independent variables that reflect business cycle and monetary policy conditions that may affect bank performance. Like Calomiris and Ma...

The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters.

We examine the relationship between the number of bank relationships and firms’ performance, evaluating possible differential effects related to firms’ size. Our sample of firms from Italy includes many small firms, 99 percent of which are not listed and for which bank debt is a major source of financing. In the sample, 4 percent of the firms have a single bank relationship, and 66 percent of t...

This paper presents a soft computing based bank performance prediction system. It is an ensemble system whose constituent models are a multilayered feed forward neural network trained with backpropagation (MLFF-BP), a probabilistic neural network (PNN) and a radial basis function neural network (RBFN), support vector machine (SVM), classification and regression trees (CART) and a fuzzy rule bas...

Uniform filter bank approach can be considered to perform independent component analysis (ICA) for convolved mixtures. It achieves better separation performance than the frequency domain approach and gives faster convergence speed with less computational complexity than the time domain approach. However, when the uniform filter bank approach is applied to natural audio signals, for high frequen...