Fraudulent financial reporting is a matter of great social and economic concern. Managers may distort financial statements so as to present their companies more favorably to investors or creditors. On the other hand, auditors are the ones who are expected to identify fraudulent financial...

This paper presents a study of Artificial Neural Network (ANN) and Bayesian Network (BN) for use in stock index prediction. The data from Nigerian Stock Exchange (NSE) market are applied as a case study. Based on the rescaled range analysis, the neural network was used to capture the...

Econometric models, in the estimation of real estate prices, are a useful and realistic approach for buyers and for local and fiscal authorities. From the classical hedonic models to more data driven procedures, based on Artificial Neural Networks (ANN), many papers have appeared in economic...

This article aims to identify the most relevant variables that allow through a neural network model (RNA), with supervised learning, in a kind of error correction and feedforward perceptron multilayer architecture to achieve the best predictors of low risk, in the process of microcredit....

The level of default in financial institutions is a key piece of information in the activity of these organizations and reveals their level of risk. This in turn explains the growing attention given to variables of this kind, during the crisis of these last years. This paper presents a method to...

In order to overcome the potential loss of information that the transition to the new National Classification of Economic Activities could provoke in EPA series, INE has proposed a methodology to link CNAE 1993 and CNAE 2009 series. The procedure is based on employing a national transition...

This work focuses on developing an internal model for equity risk under Solvency II. We have used monthly data for the series of Ibex 35, Cac 40, FTSE 100 and Dax in the period between January 1992 and December 2008. This work fits by maximum likelihood method the model of normal returns, based...

The financial and the insurance markets are increasingly penetrating each other, accounting for the fact that insurers are more and more often seen as major institutional investors of capital markets. The capital market offers a range of new opportunities, although it is not devoid of faults,...

Insurance companies have to estimate reserves and provisions to cover the payment of either unreported claims or unsettled claims. In this paper, we apply the Chain-Ladder method to obtain a point estimate of reserves, and then we use the bootstrap technique to estimate the margin of error and...

The present economic and financial crisis has underlined the importance to financial institutions and investors of having access to efficient methods of quantifying credit risk, or the probability of default. The logit models are among the techniques commonly used by large organizations and...