This paper evaluates from a microeconomic perspective the lending cost determinants in the Peruvian banking system in the June 2004-December 2005 period. The evaluation considers the credit market segments identified in a prior study (published in 2002). Furthermore, it reviews the progress...

Este artículo presenta una colección de funciones computacionales que son utilizadas en la implementación de un análisis bayesiano exhaustivo para la diferencia de dos proporciones. Con este fin, se discute la estimación puntual, la estimación mediante intervalos de credibilidad y la...

This study analyzes the elasticities of demand and income from electricity for domestic and industrial use, for Colombia (2000-2011), by estimating demand equations by OLS. The impacts on macroeconomic variables, which generate changes in the price of electricity, are also estimated by using a...

In this paper we introduce two general non-parametric first-order stationary time-series models for which marginal (invariant) and transition distributions are expressed as infinite-dimensional mixtures. That feature makes them the first Bayesian stationary fully non-parametric models developed...

The Black-Litterman (BL) model has been proposed as an alternative to Markowitz's average-variance model for the structuring of financial asset portfolios, allowing the incorporation of perspectives of fundamental analysts and guaranteeing a high degree of diversification. This model is applied...

En este estudio se identifica un conjunto de características asociadas al hecho de que un migrante colombiano retornado se convierta en un emprendedor. El análisis se realizó con los datos recogidos en la encuesta Global Entrepreneurship Monitor (GEM) cuyo formulario fue modificado en el año...

The approximation of G/G/s models from Markov models M/M/s has been studied in the literature. The study of a queue model is detailed in the present article, using times of arrivals and time service distributed by Weibull whose estimation of parameters was performed with the Bayesian method...

The valuation of options and to a large extent the financial derivatives market require an optimal estimation of the volatility, since this is precisely the variable that is negotiated. We present then a statistical methodology for the estimation of the volatility parameter for an asset using...

It was in the 1990's when the concept of Operational Risk was defined, since then the institutions, especially those in the financial sector, are worried about this type of risk since their exposure could have fatal consequences. In case of the insurance sector its study originates due to the...

The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in...