This paper focuses on the development of both failure prediction models on a paired sample and a random sample of small and medium-sized firms with head offices located in the region of Castilla y León (Spain), in order to prove if the predictive power of the developed models is affected by the...

In this paper we intend to substantiate the usefulness of Deep Learning, especially feedforward neuronal networks, in the prediction of business failure. This methodology provides very good results in terms of predictive performance when large sample sizes are available. Therefore, we have...

There are a lot of theoretical and empirical literature of models of price formation in securities markets, based on the relationship between the expected return on assets and different measures of its risk. Using monthly returns for size-based portfolios from January 1982 to December 1998 we...

This paper analyzes the relationship between economic-financial ratios and thedecision of distributing interim dividends by Spanish firms. With that purpose, we takea sample of non-financial companies quoting in the Spanish Stock Market during theperiod from 1999 to 2001. We choose a...