4 resultados para Foreign currency

em RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal


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Tese apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Media Digitais

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Double Degree. A Work Project presented as part of the requirements for the Award of a Master Degree in Management from the NOVA – School of Business and Economics and a Master Degree in Business Engineering from Louvain School of Management

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We study how countries of origin affect foreign individuals’ choice between salaried work and entrepreneurship upon arrival to the host country. Using a change in the Portuguese immigration law we evaluate the impact of reducing regulations on entrepreneurship upon the probability of foreign individuals choose entrepreneurship upon arrival. We find that foreigners from countries more dissimilar to the host country and those from wealthier countries are more likely engage in entrepreneurship upon arrival than those from similar countries. Foreigners from countries outside the European Economic Area, who have to fulfil requirements that are not required to those from countries within this area, are less likely to enter the labor market as entrepreneurs than those from countries within this area. According to our findings reducing legal requirements to foreign entrepreneurship may encourage foreigners to engage in entrepreneurship upon arrival, although such impact is not considerable.

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In this work project we study the tail properties of currency returns and analyze whether changes in the tail indices of these series have occurred over time as a consequence of turbulent periods. Our analysis is based on the methods introduced by Quintos, Fan and Phillips (2001), Candelon and Straetmans (2006, 2013), and their extensions. Specifically, considering a sample of daily data from December 31, 1993 to February 13, 2015 we apply the recursive test in calendar time (forward test) and in reverse calendar time (backward test) and indeed detect falls and rises in the tail indices, signifying increases and decreases in the probability of extreme events.