Internationalization of SME and entry mode choice in Brazil: the case study of Ameco, a French SME

O objetivo da pesquisa é analisar, para uma PME francesa, a atratividade de dois mercados-alvo no Brasil, a fim de apoiar a tomada de decisão do CEO sobre o investimento futuro. Para enfrentar a crise da União Europeia, muitas PMEs francesas estão procurando novas oportunidades em todo o mundo, especialmente nos países BRIC. Na verdade, o Brasil parece ser um mercado promissor, oferecendo inúmeras oportunidades de crescimento. No entanto, em comparação com as empresas multinacionais tradicionais, as PMEs têm de lidar com a falta de recursos e de poder de mercado. Ir global é arriscado e caro para as PMEs; o que implica avaliar cuidadosamente a viabilidade da implementação de um investimento estrangeiro. A análise revelou que o Brasil é um mercado de aproximadamente 30 milhões de euros, nos próximos 10 anos. Este é definitivamente um mercado promissor para uma empresa como AMECO. Levando em conta esses critérios, AMECO deve abrir um escritório de representação no próximo ano para angariar novos clientes e assinar novos contratos.

Factors affecting the technical efficiency of production of the Brazilian banking system : a comparison of four statistical models in the context of data envelopment analysis

This paper uses an output oriented Data Envelopment Analysis (DEA) measure of technical efficiency to assess the technical efficiencies of the Brazilian banking system. Four approaches to estimation are compared in order to assess the significance of factors affecting inefficiency. These are nonparametric Analysis of Covariance, maximum likelihood using a family of exponential distributions, maximum likelihood using a family of truncated normal distributions, and the normal Tobit model. The sole focus of the paper is on a combined measure of output and the data analyzed refers to the year 2001. The factors of interest in the analysis and likely to affect efficiency are bank nature (multiple and commercial), bank type (credit, business, bursary and retail), bank size (large, medium, small and micro), bank control (private and public), bank origin (domestic and foreign), and non-performing loans. The latter is a measure of bank risk. All quantitative variables, including non-performing loans, are measured on a per employee basis. The best fits to the data are provided by the exponential family and the nonparametric Analysis of Covariance. The significance of a factor however varies according to the model fit although it can be said that there is some agreements between the best models. A highly significant association in all models fitted is observed only for nonperforming loans. The nonparametric Analysis of Covariance is more consistent with the inefficiency median responses observed for the qualitative factors. The findings of the analysis reinforce the significant association of the level of bank inefficiency, measured by DEA residuals, with the risk of bank failure.

We're Chained: an analysis of systemic risk in finance

This dissertation presents two papers on how to deal with simple systemic risk measures to assess portfolio risk characteristics. The first paper deals with the Granger-causation of systemic risk indicators based in correlation matrices in stock returns. Special focus is devoted to the Eigenvalue Entropy as some previous literature indicated strong re- sults, but not considering different macroeconomic scenarios; the Index Cohesion Force and the Absorption Ratio are also considered. Considering the S&P500, there is not ev- idence of Granger-causation from Eigenvalue Entropies and the Index Cohesion Force. The Absorption Ratio Granger-caused both the S&P500 and the VIX index, being the only simple measure that passed this test. The second paper develops this measure to capture the regimes underlying the American stock market. New indicators are built using filtering and random matrix theory. The returns of the S&P500 is modelled as a mixture of normal distributions. The activation of each normal distribution is governed by a Markov chain with the transition probabilities being a function of the indicators. The model shows that using a Herfindahl-Hirschman Index of the normalized eigenval- ues exhibits best fit to the returns from 1998-2013.