This paper offers an exhaustive analysis of the effectiveness of several models and methodologies that are commonly used to forecast financial failure: Linear, MDA, Logit, and artificial neural network. Our main aim is to evaluate their relative strengths and weaknesses, in terms of technical...

This paper offers an exhaustive analysis of the effectiveness of several models and methodologies that are commonly used to forecast financial failure: Linear, MDA, Logit, and artificial neural network. Our main aim is to evaluate their relative strengths and weaknesses, in terms of technical...

The evolution of cities has led to changes in urban mobility patterns, including an increased number of trips, longer and more dispersed routes. Therefore, it is crucial to study urban mobility efficiently to promote sustainability and well-being. In this context, we reviewed the existing...

Research in the field of Artificial Intelligence has made considerable progress in recent years, demonstrating its effectiveness in predicting and classifying discrete decisions. However, these advances have been relatively underutilized in economic research due to the lack of links with...

La curva de rendimientos es una herramienta utilizada ampliamente, por quienes toman las decisiones de política monetaria o planifican sus inversiones, de acuerdo con la valoración, negociación o cobertura sobre instrumentos financieros. Debido a su importancia, el interés del artículo es...

Las redes neuronales artificiales han mostrado ser modelos robustos para dar cuenta del comportamiento de diferentes variables. En el presente trabajo se emplean para modelar la relación no lineal del crecimiento del PIB. Tres modelos son considerados: dos autoregresivos (especificación lineal...

Las redes neuronales artificiales han mostrado ser modelos robustos para dar cuenta del comportamiento de diferentes variables. En el presente trabajo se emplean para modelar la relación no lineal del crecimiento del PIB. Tres modelos son considerados: dos autoregresivos (especificación lineal...

Un problema recurrente es que los modelos estructurales de determinación del tipo de cambio no logran predecirlo con mayor precisión que un camino aleatorio. El objetivo de la presente investigación es verificar si es posible obtener proyecciones relativamente precisas generadas por un grupo...

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...

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...