Equity Research - Apple Inc

Mestrado em FinançasO presente Trabalho Final de Mestrado tem como objectivo a avaliação da empresa norteamericana Apple Inc. de forma a obter um preço-alvo para as suas acções com referência a 29 de Setembro de 2012, data de fim do ano fiscal da empresa. O processo de avaliação da empresa envolveu, numa primeira fase, uma análise detalhada ao negócio da Apple (e suas perspectivas de crescimento) e ao seu posicionamento estratégico. Em segundo lugar, foram aplicadas técnicas de avaliação de empresas de forma a determinar o preço-alvo da Apple. Nesta actividade foi aplicado o método de Adjusted Present Value (APV) - baseado em fluxos de caixa actualizados - e o método dos múltiplos. Os resultados dos dois métodos de avaliação aplicados, quando analisados em conjunto, indicam um preço-alvo a rondar os $646,5/ acção para a Apple à data de 29 de Setembro de 2012. Considerando que o preço de mercado real das acções da empresa, em 29 de Setembro de 2012, foi de$667,105/acção, a recomendação de investimento teria sido de Vender. Por fim, foi feita uma actualização da recomendação de investimento com referência a 13 de Setembro de 2013. Uma vez que o preço de mercado real das acções da Apple, a essa data, era de $464,90/acção, a recomendação de investimento teria sido revista para Comprar, uma vez que representa um ganho potencial de 39determinado no presente estudo.The goal of the following Master’s Final Work is to assess the value of the shares of the company Apple Inc. as of 29th September 2012, date in which the company’s fiscal year ends. The valuation process involved, in the first place, a detailed analysis of Apple’s current business (and future outlook), as well as its strategic position. Following this first stage, two financial valuation methods have been applied in order to assess Apple’s price target, namely: Adjusted Present Value (APV) – based in discounted cash-flows – and the method of multiples. The results obtained through the use of the two valuation methods, when analyzed together, indicate a price target for Apple Inc. around$646,5/ share as of 29th September 2012. Considering that the market value of the share, as of that date, was of $667,105/share, the investment recommendation would have been Sell. In addition, an update of the investment recommendation was made as of 13th September 2013. Since the market value of each of Apple’s shares as of that date was of$464,90/share the investment recommendation would have been assessed as Buy, as it represents a potential gain of 39% when in comparison with the target price determined

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

2 nd Brazilian Consensus on Chagas Disease, 2015

Abstract Chagas disease is a neglected chronic condition with a high burden of morbidity and mortality. It has considerable psychological, social, and economic impacts. The disease represents a significant public health issue in Brazil, with different regional patterns. This document presents the evidence that resulted in the Brazilian Consensus on Chagas Disease. The objective was to review and standardize strategies for diagnosis, treatment, prevention, and control of Chagas disease in the country, based on the available scientific evidence. The consensus is based on the articulation and strategic contribution of renowned Brazilian experts with knowledge and experience on various aspects of the disease. It is the result of a close collaboration between the Brazilian Society of Tropical Medicine and the Ministry of Health. It is hoped that this document will strengthen the development of integrated actions against Chagas disease in the country, focusing on epidemiology, management, comprehensive care (including families and communities), communication, information, education, and research

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Seminário de Dissertação (2024)

Página da disciplina de Seminário de Dissertação (MPPP, UFPE, 2022) Lista de participantes == https://docs.google.com/spreadsheets/d/1mrULe1y04yPxHUBaF50jhaM1OY8QYJ3zva4N4yvm198/edit#gid=