As sociedades de capital de risco em Portugal: Critérios adoptados no processo de tomada de decisão de investimento

Este estudo procura compreender a importância atribuída aos critérios utilizados pelas SCR portuguesas, na seleção e avaliação de projetos do tipo early-stage. Os dados utilizados foram recolhidos com recurso a questionário aplicado a 22 SCR portuguesas. Foram utilizadas técnicas de estatística descritiva, testes não paramétricos e análise de clusters. Concluiu-se que a personalidade e experiência do empreendedor e equipa de gestão são os critérios mais valorizados. As SCR com capital maioritariamente privado consideram mais importante o grupo de critérios relativo à personalidade do empreendedor e equipa de gestão do que as de capital maioritariamente público; e, as SCR que ainda não se internacionalizaram, consideram mais importantes o grupo de critérios relativos à personalidade do empreendedor e equipa de gestão e o grupo de critérios relativo aos aspetos financeiros, do que as SCR que se internacionalizaram. Na análise de clusters identificaram-se três grupos de SCR: Criadores de riqueza de forma sustentada; Monopolistas Impacientes; e, Ciumento. ABSTRACT: This study seeks to understand the relevance of the criteria used by the Portuguese VCs to select and assess early stage type projects. The data used for the study was collected through a questionnaire answered by 22 Portuguese VCs. We employed descriptive statistic techniques, non-parametric tests and cluster analysis. The conclusion of the study was that the personality and experience of an entrepreneur and of the management team are the most valued criteria. VCs with a majority of private share capital found the group of criteria related to the personality of the entrepreneur and of the management team to be more important than the companies with a majority of public share capital; additionally, the VCs that have not yet expanded internationally, consider the personality of the entrepreneur and management team and the group of criteria associated to financial aspects, to be more important than the VCs that have already expanded abroad. Throughout the study of the clusters we were able to identify three VCs groups: Creators of sustained wealth; Impatient Monopolists and Jealous.

Application of Mixture Models to Survival Data

Survival models are being widely applied to the engineering field to model time-to-event data once censored data is here a common issue. Using parametric models or not, for the case of heterogeneous data, they may not always represent a good fit. The present study relays on critical pumps survival data where traditional parametric regression might be improved in order to obtain better approaches. Considering censored data and using an empiric method to split the data into two subgroups to give the possibility to fit separated models to our censored data, we’ve mixture two distinct distributions according a mixture-models approach. We have concluded that it is a good method to fit data that does not fit to a usual parametric distribution and achieve reliable parameters. A constant cumulative hazard rate policy was used as well to check optimum inspection times using the obtained model from the mixture-model, which could be a plus when comparing with the actual maintenance policies to check whether changes should be introduced or not.