Análise da sustentabilidade econômica e social na produção extensiva de ostras em uma região subtropical

Pós-graduação em Aquicultura - FCAV

Partidos na comissão mista de planos, orçamentos públicos e fiscalização (2006-2010)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Cooperação Técnica Internacional e Financiamento Externo: Aportes Teóricos

The main objective of this article is to suggest a conceptual taxonomy of thegenerically called International Technical Cooperation (ITC) and Foreign Financial Aid (FFA) phenomena, which will have the pretension to ease their comprehension and their practical consequences for the Brazilian society and for the national State. Insofar, wheninduced by a dynamical structural change in the international society, some Brazilianfederated sectors, specially, municipalities, by the exercise of so-called paradiplomacy or federated diplomacy, are developing public management instruments to acquire resources through ITC and FFA experiences, without making a reflexive thought about their benefits and their consequences.

Microscopic origin of non-Gaussian distributions of financial returns

In this paper we study the possible microscopic origin of heavy-tailed probability density distributions for the price variation of financial instruments. We extend the standard log-normal process to include another random component in the so-called stochastic volatility models. We study these models under an assumption, akin to the Born-Oppenheimer approximation, in which the volatility has already relaxed to its equilibrium distribution and acts as a background to the evolution of the price process. In this approximation, we show that all models of stochastic volatility should exhibit a scaling relation in the time lag of zero-drift modified log-returns. We verify that the Dow-Jones Industrial Average index indeed follows this scaling. We then focus on two popular stochastic volatility models, the Heston and Hull-White models. In particular, we show that in the Hull-White model the resulting probability distribution of log-returns in this approximation corresponds to the Tsallis (t-Student) distribution. The Tsallis parameters are given in terms of the microscopic stochastic volatility model. Finally, we show that the log-returns for 30 years Dow Jones index data is well fitted by a Tsallis distribution, obtaining the relevant parameters. (c) 2007 Elsevier B.V. All rights reserved.

Multicollinearity and financial constraint in investment decisions: a bayesian generalized ridge regression

This paper addresses the investment decisions considering the presence of financial constraints of 373 large Brazilian firms from 1997 to 2004, using panel data. A Bayesian econometric model was used considering ridge regression for multicollinearity problems among the variables in the model. Prior distributions are assumed for the parameters, classifying the model into random or fixed effects. We used a Bayesian approach to estimate the parameters, considering normal and Student t distributions for the error and assumed that the initial values for the lagged dependent variable are not fixed, but generated by a random process. The recursive predictive density criterion was used for model comparisons. Twenty models were tested and the results indicated that multicollinearity does influence the value of the estimated parameters. Controlling for capital intensity, financial constraints are found to be more important for capital-intensive firms, probably due to their lower profitability indexes, higher fixed costs and higher degree of property diversification.