Stock picking is the field of financial analysis that is of particular interest for many professional investors and researchers. In this study stock picking is implemented via binary classification trees. Optimal tree size is believed to be the crucial factor in forecasting performance of the...

Stock picking is the field of financial analysis that is of particular interest for many professional investors and researchers. In this study stock picking is implemented via binary classification trees. Optimal tree size is believed to be the crucial factor in forecasting performance of the...

This paper aims at contributing to the decision-making regarding the allocation of public resources under the Federal Legislative Power. The focus of the paper was to construct criteria that could help elect the municipal legislative council in each micro-region that has the greatest power of...

In economics and other social sciences, complex processes are often represented by numerical models of reality which more or less well reflect behavioral relationships and interactions. Such attempts are the subject of a lecture course "Mathematical Theory of Democracy" by the author at the...

This paper provides series expansions of the stationary distribution of a finite Markov chain. This leads to an efficient numerical algorithm for computing the stationary distribution of a finite Markov chain. Numerical examples are given to illustrate the performance of the algorithm.

Business decision making is a critical factor to the viability of companies. In the current more dynamic, global and competitive scenario, this critical factor opens space to wider requirements. Modeling and simulation have traditionally formed a substantial part of the toolkit used to support...

With the purpose of measuring and monitoring systemic risk, some topological properties of the interbank exposures and the payments system networks are studied. We propose non-topological measures which are useful to describe the individual behavior of banks in both networks. The evolution of...

This paper analyzes the higher-order properties of nested pseudo-likelihood (NPL) estimators and their practical implementation for parametric discrete Markov decision models in which the probability distribution is defined as a fixed point. We propose a new NPL estimator that can achieve...

In economics and other social sciences, complex processes are often represented by numerical models of reality which more or less well reflect behavioral relationships and interactions. Such attempts are the subject of a lecture course 'Mathematical Theory of Democracy' by the author at the...

With the purpose of measuring and monitoring systemic risk, some topological properties of the interbank exposures and the payments system networks are studied. We propose non-topological measures which are useful to describe the individual behavior of banks in both networks. The evolution of...