En este documento se realiza una exploración inicial sobre los determinantes del número de rela¬ciones bancarias del sector corporativo privado de Colombia. Siguiendo otros estudios similares reali¬zados para distintos países, se utilizan modelos de datos de cuenta y se estima un modelo de...

This paper proposes the Shannon entropy as an appropriate one-dimensional measure of behavioural trading patterns in financial markets. The concept is applied to the illustrative example of algorithmic vs. non-algorithmic trading and empirical data from Deutsche Börse's electronic cash equity...

En este documento se realiza una exploración inicial sobre los determinantes del número de relaciones bancarias del sector corporativo privado de Colombia. Siguiendo otros estudios similares que se han realizado para distintos países, se utilizan modelos de datos de cuenta y se estima un...

This paper presents an empirical study about risk analysis using several technologies. We have investigated two fundamental questions: we have analized the results obtained using each specific technology (discriminant analysis, logistic regression, and an artificial intelligence technology) and...

This paper uses the ordered logit regression combining method to form consensus forecasts from different individual bond rating forecasts, to predict bond ratings in the transportation and industrial sectors form Moody's bond rating service.

This paper uses the ordered logit regression combining method to form consensus forecasts from different individual bond rating forecasts, to predict bond ratings in the transportation and industrial sectors form Moody's bond rating service.

This paper proposes the Shannon entropy as an appropriate one-dimensional measure of behavioural trading patterns in financial markets. The concept is applied to the illustrative example of algorithmic vs. non-algorithmic trading and empirical data from Deutsche Börse's electronic cash equity...

The aim of this paper is to outline the loans trend in the Italian districts, by drawing on the amount and risk of loans. The analysis has been carried out by collecting and analysing data published by the Bank of Italy in the period 2000-2006.The study used a multi-disciplinary approach and it...

Machine learning tools are well known for their success in prediction. But prediction is not causation, and causal discovery is at the core of most questions concerning economic policy. Recently, however, the literature has focused more on issues of causality. This paper gently introduces some...

This work develops the mathematics that underlies many agent-based models and multi-agent systems, both of which could only previously be studied by computer simulation. It also introduces complexity into the study of economic systems while retaining closed-form analysis, and it establishes new...