The multifractal model has demonstrated properly how to measure the complexity within economic systems when describing a time series with a spectrum; this tool offers the possibility to study local regularity for prior and after market crash detections. The main goal of this work is to show...

This study analyzes the capacity of multivariated models constructed from genetic algorithms and artificial neural networks to predict the sign of the weekly variations of the Asian stock-market indexes Nikkei225, Hang Seng, Shanghai Composite, Seoul Comp

This paper contains the results of a non parametric multi-step ahead forecast for the monthly Colombian inflation, using Mean conditional Kernel estimation over inflation changes, with no inclusion of exogenous variables. The results are compared with those from an ARIMA and a nonlinear STAR....

Two possibilities of analysis of economic cycles are studied in this document. Firstly, filter-design approaches consisting of the extraction of the information content of certain signals between two specific frequencies, as well as below or above certain frequencies. Secondly, model-based...

Spanish Abstract: La relación existente entre el riego y la rentabilidad de un activo financiero es una preocupación constante del inversionista a la hora de conformar su portafolio de inversión. La principal meta en la construcción del portafolio consiste en distribuir óptimamente la...

This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...

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....

This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...

This article validates the chaotic behavior in the Argentinean, Brazilian, Canadian, Chilean, American, Peruvian and Mexican Stock Markets using the MERVAL, BOVESPA, S&P TSX COMPOSITE, IPSA, IGPA, S&P 500, DOW JONES INDUSTRIALS, NASDAQ, IGBVL and IPC Stock Indexes respectively. The results of...

En el presente trabajo se muestra evidencia para rechazar la Hipótesis de Mercado Eficiente (HME) a través de la anomalía efecto día (day effect). Se utilizan dos aproximaciones: la primera, bajo el supuesto de normalidad, estima un modelo lineal que corrobora los hallazgos de estudios...