Overdetermination in a marxian theory of money

O presente artigo focaliza a genérica e abstrata análise monetária desenvolvida por Marx no inicio do Capital. Mais precisamente, pretende-se avaliar em que medida, se alguma, alguns aspectos da análise de Marx sobre o papel bastante contraditório desempenhado pela moeda no processo de circulação simples de mercadorias suportam uma interpretação sobre-determinista do método dialético por ele empregado. Baseando-se no conceito de sobre-determinação introduzido na literature Marxiana principalmente por Louis Althusser, o artigo conclui que o nexo real-monetário prevalecente na circulação simples de mercadorias pode ser concebida como um nexo sobre-determinado, ou seja, um nexo caracterizado por incorporar um regime de constitutividade.

A CAPM with higher moments: theory and econometrics

We develop portfolio choice theory taking into consideration the first p~ moments of the underIying assets distribution. A rigorous characterization of the opportunity set and of the efficient portfolios frontier is given, as well as of the solutions to the problem with a general utility function and short sales allowed. The extension of c1assical meanvariance properties, like two-fund separation, is also investigated. A general CAPM is derived, based on the theoretical foundations built, and its empirical consequences and testing are discussed

An evolving possibilistic fuzzy modeling approach for value-at-risk estimation

Market risk exposure plays a key role for nancial institutions risk management. A possible measure for this exposure is to evaluate losses likely to incurwhen the price of the portfolio's assets declines using Value-at-Risk (VaR) estimates, one of the most prominent measure of nancial downside market risk. This paper suggests an evolving possibilistic fuzzy modeling approach for VaR estimation. The approach is based on an extension of the possibilistic fuzzy c-means clustering and functional fuzzy rule-based modeling, which employs memberships and typicalities to update clusters and creates new clusters based on a statistical control distance-based criteria. ePFM also uses an utility measure to evaluate the quality of the current cluster structure. Computational experiments consider data of the main global equity market indexes of United States, London, Germany, Spain and Brazil from January 2000 to December 2012 for VaR estimation using ePFM, traditional VaR benchmarks such as Historical Simulation, GARCH, EWMA, and Extreme Value Theory and state of the art evolving approaches. The results show that ePFM is a potential candidate for VaR modeling, with better performance than alternative approaches.