The nonlinear modelization has experimented a great resurgence of the hand of Chaos Theory, which shown the possibility of obtaining complex behaviors produced endogenously by the dynamics of the model, without the necessity to include exogenous random shocks. On the other hand, the importance...

The ability of some neural nets to predict the direction of the Mexican economy —represented by its LEI— when taking as inputs the simultaneous versions (smooth- ing and predictive) of a Gaussian Process fed with a Stock Index and a Bonds Index representing the Mexican market, is favorably...

Contrary to the classic framework of passive strategies, if investors exploit return predictability through active strategies then there is a tension between the mean-variance frontiers that drive empirical work and the mean-variance preferences that are used in finance theory. We show that...

The concept of the gamma of a financed return as the highest level of stress that a return distribution can withstand is introduced. Stress is measured by positive expectation under a concave distortion of the return distribution accessed. Four distortions introduced in Cherny and Madan (2008)...

Diversifying into commodity futures indices to improve risk-return trade-offs had seemed an inviting prospect a couple of decades ago, due to the increasing correlations between equities themselves and the stable low or negative correlations they exhibited with commodities. But there is a view...

We compare the Sharpe ratios of investment funds which combine one riskless and one risky asset following: i) timing strategies which forecast excess returns using simple regressions; ii) a strategy which uses multiple regression instead; and iii) a passive allocation which combines the funds in i)...

El Aprendizaje Automático es una rama de la Inteligencia Artificial que tiene por objetivo desarrollar técnicas mediante las cuales las computadoras puedan aprender y ayudar al hombre en la solución de problemas complejos. Los algoritmos de aprendizaje pueden clasificarse de acuerdo a la...

El presente trabajo se enfoca en la revisión de las principales técnicas que aborda la Inteligencia artificial, con sus diferentes paradigmas, siendo relevantes los sistemas expertos, las redes neuronales, los algoritmos genéticos y la lógica borrosa con sus diferentes aplicaciones, al campo...

Resumen El presente artículo destaca el beneficio y buen funcionamiento del programa microfi- nanciero denominado Cajas Rurales. Además de un estudio comparativo, para observar las fortalezas y debilidades que ellas presentan, se desarrolla la construcción del modelo “Evaluación y...

In a remarkably short time, economic globalisation has changed the world’s economic order, bringing new challenges and opportunities to SMEs. These processes pushed the need to measure innovation capability, which has become a crucial issue for today’s economic and political decision makers....