We take a model selection approach to the question of whether a class of adaptive
prediction models (artificial neural networks) is useful for predicting future values of nine …

The recent surge in activity of neural network research in business is not surprising since the
underlying functions controlling business data are generally unknown and the neural …

We take a model-selection approach to the question of whether forward-interest rates are
useful in predicting future spot rates, using a variety of out-of-sample forecast-based model …

Nine macroeconomic variables are forecast in a real-time scenario using a variety of flexible
specification, fixed specification, linear, and nonlinear econometric models. All models are …

Use of the Internet continues to grow at an explosive rate. While entertainment, education
and communication serve as important applications of the Internet, e‐commerce continues …

In today's working environment, a company's human resources are truly the only sustainable
competitive advantage. Product innovations can be duplicated, but the synergy of a …

Neural Networks–originally inspired from Neuroscience–provide powerful models for
statistical data analysis. Their most prominent feature is their ability to “learn” dependencies …

Voting rules can be assessed from quite different perspectives: the axiomatic, the pragmatic,
in terms of computational or conceptual simplicity, susceptibility to manipulation, and many …

In this paper, we study the behavior of individuals when facing two different, but incentive-
wise identical, institutions. We pair the first price auction with an equivalent lottery. Once a …

This study proposes the use of a modified genetic algorithm (MGA), a global search
technique, as a training method to improve generalizability and to identify relevant inputs in …