Essays on the Impact of Stakeholders' Sentiment on the Financial Decision Making Process

The most important factor that affects the decision making process in finance is the risk which is usually measured by variance (total risk) or systematic risk (beta). Since investors' sentiment (whether she is an optimist or pessimist) plays a very important role in the choice of beta measure, any decision made for the same asset within the same time horizon will be different for different individuals. In other words, there will neither be homogeneity of beliefs nor the rational expectation prevalent in the market due to behavioral traits. This dissertation consists of three essays. In the first essay, Investor Sentiment and Intrinsic Stock Prices, a new technical trading strategy is developed using a firm specific individual sentiment measure. This behavioral based trading strategy forecasts a range within which a stock price moves in a particular period and can be used for stock trading. Results show that sample firms trade within a range and show signals as to when to buy or sell. The second essay, Managerial Sentiment and the Value of the Firm, examines the effect of managerial sentiment on the project selection process using net present value criterion and also effect of managerial sentiment on the value of firm. Findings show that high sentiment and low sentiment managers obtain different values for the same firm before and after the acceptance of a project. The last essay, Investor Sentiment and Optimal Portfolio Selection, analyzes how the investor sentiment affects the nature and composition of the optimal portfolio as well as the performance measures. Results suggest that the choice of the investor sentiment completely changes the portfolio composition, i.e., the high sentiment investor will have a completely different choice of assets in the portfolio in comparison with the low sentiment investor. The results indicate the practical application of behavioral model based technical indicators for stock trading. Additional insights developed include the valuation of firms with a behavioral component and the importance of distinguishing portfolio performance based on sentiment factors.

The Foodservice Industry's Social Responsibility Regarding the Obesity Epidemic, Part II: Incorporating Strategic Corporate Social Responsibility into Foodservice Operations

Just as all types of business firms are now expected to go beyond their profit-oriented activities in boosting the well-being of the community, so, too, is corporate social responsibility (CSR) expected from foodservice firms. The significance of the obesity epidemic, combined with the foodservice industry's role in the development of this epidemic, suggests that the industry has an ethical responsibility to implement CSR activities that will help reduce obesity, particularly among children. CSR should be seen as an efficient management strategy through which a firm voluntarily integrates social and environmental concerns into its business operations and its interactions with stakeholders. Although costs are associated with CSR initiatives, benefits accrue to the firm. Decisions regarding alternative CSR activities should be based on a cost-benefit analysis and calculation of the present value of the revenue stream that can be identified as resulting from the specific CSR activities. CSR initiatives should be viewed as long-term investments that will enhance the firms’ value. Key areas for foodservice firms' CSR activities include marketing practices, particularly practices impacting advertising to children and marketing that will enhance the firms’ visibility; portion-size modification; new-product development; and consistent nutrition labeling on menus.

A Study of Stock Market Fluctuations and their Relations to Business Conditions

Most research on stock prices is based on the present value model or the more general consumption-based model. When applied to real economic data, both of them are found unable to account for both the stock price level and its volatility. Three essays here attempt to both build a more realistic model, and to check whether there is still room for bubbles in explaining fluctuations in stock prices. In the second chapter, several innovations are simultaneously incorporated into the traditional present value model in order to produce more accurate model-based fundamental prices. These innovations comprise replacing with broad dividends the more narrow traditional dividends that are more commonly used, a nonlinear artificial neural network (ANN) forecasting procedure for these broad dividends instead of the more common linear forecasting models for narrow traditional dividends, and a stochastic discount rate in place of the constant discount rate. Empirical results show that the model described above predicts fundamental prices better, compared with alternative models using linear forecasting process, narrow dividends, or a constant discount factor. Nonetheless, actual prices are still largely detached from fundamental prices. The bubble-like deviations are found to coincide with business cycles. The third chapter examines possible cointegration of stock prices with fundamentals and non-fundamentals. The output gap is introduced to form the non-fundamental part of stock prices. I use a trivariate Vector Autoregression (TVAR) model and a single equation model to run cointegration tests between these three variables. Neither of the cointegration tests shows strong evidence of explosive behavior in the DJIA and S&P 500 data. Then, I applied a sup augmented Dickey-Fuller test to check for the existence of periodically collapsing bubbles in stock prices. Such bubbles are found in S&P data during the late 1990s. Employing econometric tests from the third chapter, I continue in the fourth chapter to examine whether bubbles exist in stock prices of conventional economic sectors on the New York Stock Exchange. The ‘old economy’ as a whole is not found to have bubbles. But, periodically collapsing bubbles are found in Material and Telecommunication Services sectors, and the Real Estate industry group.

An application of evolutionary algorithms for WAG optimisation in the Norne Field

Water-alternating-gas (WAG) is an enhanced oil recovery method combining the improved macroscopic sweep of water flooding with the improved microscopic displacement of gas injection. The optimal design of the WAG parameters is usually based on numerical reservoir simulation via trial and error, limited by the reservoir engineer’s availability. Employing optimisation techniques can guide the simulation runs and reduce the number of function evaluations. In this study, robust evolutionary algorithms are utilized to optimise hydrocarbon WAG performance in the E-segment of the Norne field. The first objective function is selected to be the net present value (NPV) and two global semi-random search strategies, a genetic algorithm (GA) and particle swarm optimisation (PSO) are tested on different case studies with different numbers of controlling variables which are sampled from the set of water and gas injection rates, bottom-hole pressures of the oil production wells, cycle ratio, cycle time, the composition of the injected hydrocarbon gas (miscible/immiscible WAG) and the total WAG period. In progressive experiments, the number of decision-making variables is increased, increasing the problem complexity while potentially improving the efficacy of the WAG process. The second objective function is selected to be the incremental recovery factor (IRF) within a fixed total WAG simulation time and it is optimised using the same optimisation algorithms. The results from the two optimisation techniques are analyzed and their performance, convergence speed and the quality of the optimal solutions found by the algorithms in multiple trials are compared for each experiment. The distinctions between the optimal WAG parameters resulting from NPV and oil recovery optimisation are also examined. This is the first known work optimising over this complete set of WAG variables. The first use of PSO to optimise a WAG project at the field scale is also illustrated. Compared to the reference cases, the best overall values of the objective functions found by GA and PSO were 13.8% and 14.2% higher, respectively, if NPV is optimised over all the above variables, and 14.2% and 16.2% higher, respectively, if IRF is optimised.

(Table 2) Abundance of Radiolaria species in sediment samples from Core AMK4-340

Over the past 13 kyr the most significant natural changes in the Reykjanes ridge region took place within 13-7.8 kyr B.P. They resulted from alternating intensifications of the influence of the Labrador (LWM) and Norwegian-Greenland (NGWM) water masses. During 13-11.7 kyr B.P. natural conditions were governed by influence of LWM with sea surface temperature (SST) 3-5°C lower present one. During 11.7-10.3 kyr B.P. NGWM with SST 6-7°C lower present one predominated. During 10.3-9.5 kyr B.P. oceanographic conditions were rapidly transforming and approaching present ones controlled by interaction between LWM and North Atlantic water masses; SST abruptly increased almost to the present value. During 9.5-8.3 kyr B.P. intensification of NGWM led to small decrease of SST (1.5-2.5°C below present value; between 8.3 and 7.8 kyr B.P. natural conditions had approximated present ones and later on remained relatively stable; SST fluctuated with an amplitude of about 1.5°C.

Operational expenditure costs for wave energy projects and impacts on financial returns

This paper examines 'availability' and the input metrics of operational expenditure (OPEX) for wave energy projects and reports on a case study which assesses the impact of these inputs on project profit returns. Case study simulations modelled a 75 MW wave energy project at two locations; the west coast of Ireland and the north coast of Portugal. Access and availability with respect to weather windows at both locations are discussed and their impact on energy output and wave farm operations is quantified. The input metrics used to calculate OPEX of wave energy projects are defined as well as the impact of OPEX on project net present value (NPV) and internal rate of return (IRR). Results indicate that access and resultant availability factors have a significant impact on case study results by reducing energy output and correspondingly financial returns. Furthermore, the technology maturity level designated for a project also impacts on availability factors and consequently energy output and NPV. Case study profits proved to be very sensitive to annual OPEX, especially if overhaul and replacement costs were accounted for. As a result of the impact of 'availability' on project profit returns. Feed-in tariffs will need to be tailored to the location in question as well as the device technology maturity level, with case study simulations indicating that high FIT will be required to support early stage WEC projects. (C) 2012 Elsevier Ltd. All rights reserved.

A Valuation Analysis of the Physical Oceanographic Real Time System (PORTS)

This analysis estimates several economic benefits derived from national implementation of the National Oceanic and Atmospheric Administration’s Physical Oceanographic Real-Time System (PORTS®) at the 175 largest ports in the United States. Significant benefits were observed owing to: (1) lower commercial marine accident rates and resultant reductions in morbidity, mortality and property damage; (2) reduced pollution remediation costs; and, (3) increased productivity associated with operation of more fully loaded commercial vessels. Evidence also suggested additional benefits from heightened commercial and recreational fish catch and diminished recreational boating accidents. Annual gross benefits from 58 current PORTS® locations exceeded $217 million with an addition $83 million possible if installed at the largest remaining 117 ports in the United States. Over the ten-year economic life of PORTS® instruments, the present value for installation at all 175 ports could approach $2.5 billion.

The Cost of Co-viability in the Australian Northern Prawn Fishery

Fisheries management must address multiple, often conflicting objectives in a highly uncertain context. In particular, while the bio-economic performance of trawl fisheries is subject to high levels of biological and economic uncertainty, the impact of trawling on broader biodiversity is also a major concern for their management. The purpose of this study is to propose an analytical framework to formally assess the trade-offs associated with balancing biological, economic and non-target species conservation objectives. We use the Australian Northern Prawn Fishery (NPF), which is one of the most valuable federally managed commercial fisheries in Australia, as a case study. We develop a stochastic co-viability assessment of the fishery under multiple management objectives. Results show that, due to the variability in the interactions between the fishery and the ecosystem, current management strategies are characterized by biological and economic risks. Results highlight the trade-offs between respecting biological, economic and non-target species conservation constraints at each point in time with a high probability and maximizing the net present value of the fishery.

Bioeconomic modelling of woody regrowth carbon offset options in productive grazing systems

Agricultural land has been identified as a potential source of greenhouse gas emissions offsets through biosequestration in vegetation and soil. In the extensive grazing land of Australia, landholders may participate in the Australian Government’s Emissions Reduction Fund and create offsets by reducing woody vegetation clearing and allowing native woody plant regrowth to grow. This study used bioeconomic modelling to evaluate the trade-offs between an existing central Queensland grazing operation, which has been using repeated tree clearing to maintain pasture growth, and an alternative carbon and grazing enterprise in which tree clearing is reduced and the additional carbon sequestered in trees is sold. The results showed that ceasing clearing in favour of producing offsets produces a higher net present value over 20 years than the existing cattle enterprise at carbon prices, which are close to current (2015) market levels (~$13 t–1 CO2-e). However, by modifying key variables, relative profitability did change. Sensitivity analysis evaluated key variables, which determine the relative profitability of carbon and cattle. In order of importance these were: the carbon price, the gross margin of cattle production, the severity of the tree–grass relationship, the area of regrowth retained, the age of regrowth at the start of the project, and to a lesser extent the cost of carbon project administration, compliance and monitoring. Based on the analysis, retaining regrowth to generate carbon income may be worthwhile for cattle producers in Australia, but careful consideration needs to be given to the opportunity cost of reduced cattle income.

Aplicação da teoria das opções reais na análise de investimentos em concessão florestal

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Florestal, 2016.

Encontra-te

Um dos grandes desafios para a valorização de Portugal como destino cultural, assenta na agregação de toda a oferta que o nosso país apresenta. A música, por tudo aquilo que representa para o nosso país, apresenta as características certas para se tornar num elo de ligação entre a cultura e as pessoas. Nos últimos anos assistimos a uma alteração do consumo de música através de aplicações que emergiram e que alcançaram o seu espaço na sociedade moderna. Paralelamente, temos presenciado no nosso país a um aumento de concertos e espetáculos ao vivo, número de espectadores e de receitas de bilheteira, gerando receitas em torno dos 70 000 000 de euros. Beneficiando da experiência e conhecimento na área musical, este projeto visa desenvolver uma aplicação mobile que funcione como agregador de toda a informação relativa a espetáculos musicais ao vivo na área de Lisboa. Na base da construção do Plano de Negócios foi utilizado o programa FINICIA do Instituto de Apoio às Pequenas e Médias Empresas e à Inovação (IAPMEI) que revelou todas as conjeturas necessárias à sua realização e implementação. Os indicadores de validade do projeto, recolhidos através do questionário online com base no método Delphi, comprovaram a relevância da criação de uma aplicação mobile focada na área da música em Lisboa. De acordo com os indicadores de viabilidade utilizados neste projeto, nomeadamente a Taxa Interna de Rendibilidade (TIR), o Valor Atual Líquido (VAL) e o Período de Payback, foi possível determinar que o mesmo é economicamente viável.

Gestão Técnica Centralizada em Edifícios da Força Aérea

A investigação centra-se na aplicação da Gestão Técnica Centralizada como instrumento para a melhoria da eficiência energética dos edifícios e infraestruturas da Força Aérea Portuguesa e diminuição de pessoal afeto à sua manutenção, tendo por base, dois casos de estudo, o edifício QC12 do Centro de Formação Militar e Técnica da Força Aérea e o ECOTERMOLAB, pertencente ao Instituto de Soldadura e Qualidade. Da análise desenvolvida conclui-se que o funcionamento dos edifícios ECOTERMOLAB e QC12, com controlo por GTC, representam anualmente uma diminuição de consumo energético em 30% e 44% respetivamente e, uma redução de 50% nos recursos humanos afetos à instalação do QC12. Da viabilidade económica obtiveram-se as métricas de Valor Atual Líquido e a Taxa Interna de Rentabilidade positivos e um Período de Recuperação do Investimento, de 11,5 anos para ECOTERMOLAB e 10,7 anos para QC12. Por fim, teceram-se algumas recomendações, dirigidas à Força Aérea Portuguesa, com o intento de melhorar a eficiência energética elétrica e a redução de recursos humanos afetos. Abstract: The research is focused in the application of the Centered Technique Management as an instrument to improve the Portuguese Air Force buildings and infrastructures’ energetic efficiency and to reduce the staff in charge of its maintenance, based on two study cases, QC 12 building in The Air Force Military and Technique Training Center and ECOTERMOLAB, which belongs to Instituto de Soldadura e Qualidade (Quality and Welding Institute). From the analysis, one can conclude that the functioning of the ECOTERMOLAB and QC12 buildings, with GTC control, represents an annual consumption of less 30% and 44% respectively and a 50% reduction in the human resources of the QC 12. From the economical viability, it was possible to get the figures of the Net Present Value and the Internal Rate of Return and a Period of Return on Investment of 11,5 years for ECOTERMOLAB and 10,7 years for QC 12. Finally, some recommendations to the Portuguese Air Force were made, aiming the improvement of the electrical energetic efficiency and a reduction in human resources.

Network Development with Bicycle Lanes

Bicycling as an active mode of transport can offer great individual and societal benefits. Allocating space for bicycle facilities is the key to promoting cycling as bicyclists perceive better safety and convenience in separate bikeways. In this thesis, a method is proposed for optimizing the selection and scheduling of capacity enhancements in road networks while also optimizing the allocation of road space to bicycle lanes. The goal is to determine what fraction of the available space should be allocated to bicycles, as the network evolves, in order to minimize the present value of the total cost of the system cost. The allocation method is combined with a genetic algorithm to select and schedule road expansion projects under certain budget constraints.

Equity research - Brisa

Mestrado em Finanças

Equity Research - Luz Saúde

Mestrado em Finanças