We consider a new copula method for mixed marginals of discrete and continuous random variables. Unlike the Bayesian methods in the literature , we use maximum likelihood estimation based on closed-form copula functions. We show with a simulation that our methodology performs similar to the...

We develop a new Bayesian estimator that is able to deal with multivariate panel data structure in the presence of spatial correlation. The analysis of panel data introduced here allows us to analyze not only the fixed effect but also the random effect model. This work extends the previous study...

This paper estimates the preference scores of CoCo bond buyers and sellers by running logistic regressions taking into account both bond and issuing bank's characteristics, and also considers the role of country−specific CoCo bond market competitiveness. Buyers are found to be characterised by...

Predicting corporate failure is an important problem in management science. This study tests a new method for predicting corporate failure on a sample of Spanish firms. A GRASP (Greedy Randomized Adaptive Search Procedure) strategy is proposed to use a feature selection algorithm to select a...