This paper analyzes recursive and rolling neural network models to forecast one-step-ahead sign variations in gold price. Different combinations of techniques and sample sizes are studied for feed forward and ward neural networks. The results shows the rolling ward networks exceed the recursive...

This chapter develops a Probit model that identifies the financial variables explaining the bankruptcy of banking institutions in Ecuador as a function of efficiency, assets, capital, risk and operating income. The implications of this study verify the validity of the solvency theory over the...