Background: In today's society, there is more pressure to be sustainable and not least in the financial world. Several agreements, such as the Paris Agreement, have been created to steer countries towards more sustainability. When it comes to the economy, several SRI strategies have been developed to serve the same purpose. However, the problem that emerges is that investors who invest sustainably and use these strategies can lose returns and thus depart from their main goal of maximizing profits.   Purpose: The purpose of this paper is to examine how SRI strategies are used by investors when constructing their portfolios in terms of profit maximization. The paper will thus conclude if the underlying motivation behind the choice of strategy is affected by maximizing profit.   Method and implementation: By conducting a qualitative study and interviewing several fund managers at the largest banks and fund companies in Sweden, the authors aim to answer the research question. The answers provided by the respondents are presented and analyzed in the empirical section and linked to the study's theory.   Conclusion: In this study, there is clearly shown that by investing, according to SRI, a professional investor is still able to profit maximize. The authors, therefore, see that the new way of being rational as an investor is to include SRI strategies. The relationship with being both sustainable and profit-maximizing can be seen as a significant motivating factor. The same can be said about reduced ESG risk and creating legitimacy towards customers. Furthermore, a combination of strategies can be seen as a way to create an optimal portfolio by the investors. This further proves that sustainable investing is the most rational way of investing and a way to achieve an investors main goal to profit maximize.

Svensk bostadsmarknad har länge präglats av en snedvriden konkurrens med en markant fördel till Sveriges kommunala allmännyttiga bostadsaktiebolag jämte de privata bostadsaktiebolagen. I syfte att utjämna existerande sektoriella diskrepanser och skapa en konkurrensneutral marknad med jämlika villkor för privata respektive kommunala bostadsaktiebolag, infördes per den 1:a januari år 2011, Lag (2010:879) om allmännyttiga bostadsaktiebolag. Lagen innebär för de kommunala bostadsaktiebolagen ett avsteg från den tidigare självkostnadsprincipen mot ett i högre grad affärsmässig agerande enligt vinstdrivande syfte. Denna studie avser utifrån sambandet mellan risk och avkastning inom svenska bostadsaktiebolag, undersöka huruvida svenska kommunala allmännyttiga bostadsaktiebolag efter införandet av lagen uppvisar ett mer affärsmässigt agerande i termer om risk och avkastning på totalt kapital. Studiens teoretiska utgångspunkter tar huvudsakligen ansats i prospektteorin samt den förväntade nyttoteorin, vilka utgör två välrenommerade modeller i syfte att förklara beslutstagande under risk. Den förväntade nyttoteorin antar att individer är rationella nyttomaximerare och därefter agerar antingen riskaversivt, risksökande eller riskneutralt. Prospektteorin hävdar i motsats till den förväntade nyttoteorin att individen kan vara en kombination av riskaversiv, risksökande och riskneutral. Varav individen således inte alltid antas agera rationellt. Författarna har funnit flertalet tidigare forskare vilka genom perspektivet av den strategiska företagsledningen, bevisat stöd för prospektteorin som förklarande modell av beslutstagande under risk på företagsnivå, inom och mellan olika branscher. Därmed ställer författarna följande frågeställning: Uppvisar Sveriges kommunala allmännyttiga bostadsaktiebolag ett i högre grad affärsmässigt riskbeteende efter införandet av Lag (2010:879) om allmännyttiga bostadsaktiebolag? Utifrån sekundärdata insamlad via databasen Retriever Business har ett kvantitativt metodangrepp tillämpats i syfte att besvara studiens framställda hypoteser. Insamlad data består av de svenska bostadsaktiebolagens årliga avkastning på totalt kapital för tidsperioden 2006-2010 samt 2011-2014. Det empiriska materialet har vidare analyserats genom korstabeller, rangkorrelationer samt deskriptiv statistik. Resultatet visade att prospektteorin utgör ett bra alternativ som deskriptiv modell av beslutstagande under risk inom svenska bostadsaktiebolag. Enligt prospektteorin påvisades att svenska bostadsaktiebolags riskbeteende varierar beroende på bolagets branschallokering i förhållande till branschens genomsnittliga prestation, varav den strategiska företagsledningen inom svenska bostadsaktiebolag kan antas vara en sammanslagning av både risksökande och riskaversiva. Därmed motsäger resultatet den förväntade nyttoteorins antaganden om att individen alltid agerar rationellt. Vidare påvisade jämförelse av de kommunala bostadsaktiebolagens riskbeteende före och efter reformen att de kommunala bostadsaktiebolagens riskbeteende inte påverkats i större utsträckning, varför indikationer ges att allmännyttiga bostadsaktiebolag inte agerar i högre grad affärsmässigt efter Lag (2010:879) om allmännyttiga bostadsaktiebolag.

Gegenstand der vorliegenden Dissertation sind stochastische Kontrollprobleme, denen sich Agenten im Zusammenhang mit Entscheidungen auf Finanzmärkten gegenübersehen. Der erste Teil der Arbeit behandelt die Maximierung des erwarteten Nutzens des Endvermögens eines Finanzmarktinvestors. Für den Investor ist eine Beschreibung der optimalen Handelsstrategie, die zur numerischen Approximation geeignet ist sowie eine Stabilitätsanalyse der optimalen Handelsstrategie bzgl. kleinerer Fehlspezifikationen in Nutzenfunktion und Anfangsvermögen, von höchstem Interesse. In stetigen Marktmodellen beweisen wir Stabilitätsresultate für die optimale Handeslsstrategie in geeigneten Topologien. Für hinreichend differenzierbare Nutzenfunktionen und zeitstetige Marktmodelle erhalten wir eine Beschreibung der optimalen Handelsstrategie durch die Lösung eines Systems von stochastischen Vorwärts-Rückwärts-Differentialgleichungen (FBSDEs). Der zweite Teil der Arbeit beschäftigt sich mit optimalen Stopproblemen für einen Agenten, dessen Ertragsprozess von einem Ausfallsereignis abhängt. Unser Hauptinteresse gilt der Beschreibung der Lösungen vor und nach dem Ausfallsereignis und damit dem besseren Verständnis des Verhaltens des Agenten bei Auftreten eines Ausfallsereignisses. Wir zeigen wie sich das optimale Stopproblem in zwei einzelne Teilprobleme zerlegen lässt: eines, für das der zugrunde liegende Informationsfluss das Ausfallereignis nicht beinhaltet, und eines, in welchem der Informationsfluss das Ausfallereignis berücksichtigt. Aufbauend auf der Zerlegung des Stopproblems und der Verbindung zwischen der Optimalen Stoptheorie und der Theorie von reflektierenden stochastischen Rückwärts-Differentialgleichungen (RBSDEs), leiten wir einen entsprechenden Zerlegungsansatz her, um RBSDEs mit genau einem Sprung zu lösen. Wir beweisen neue Existenz- und Eindeutigkeitsresultate von RBSDEs mit quadratischem Wachstum. / This thesis studies stochastic control problems faced by agents in financial markets when making decisions. The first part focuses on the maximization of expected utility from terminal wealth for an investor trading in a financial market. Of utmost concern to the investor is a description of optimal trading strategy that is amenable to numerical approximation, and the stability analysis of the optimal trading strategy w.r.t. "small" misspecification in his utility function and initial capital. In the setting of a continuous market model, we prove stability results for the optimal wealth process in the Emery topology and the uniform topology on semimartingales, and stability results for the optimal trading strategy in suitable topologies. For sufficiently differentiable utility functions, we obtain a description of the optimal trading strategy in terms of the solution of a system of forward-backward stochastic differential equations (FBSDEs). The second part of the thesis deals with the optimal stopping problem for an agent with a reward process exposed to a default event. Our main concern is to give a description of the solutions before and after the default event and thereby better understand the behavior of the agent in the presence of default. We show how the stopping problem can be decomposed into two individual stopping problems: one with information flow for which the default event is not visible, and another one with information flow which captures the default event. We build on the decomposition of the optimal stopping problem, and the link between the theories of optimal stopping and reflected backward stochastic differential equations (RBSDEs) to derive a corresponding decomposition approach to solve RBSDEs with a single jump. This decomposition allows us to establish existence and uniqueness results for RBSDEs with drivers of quadratic growth.

In the field of VLSI circuit optimization, the scaling of semiconductor devices has led to the miniaturization of the feature sizes resulting in a significant increase in the integration density and size of the circuits. At the nanometer level, due to the effects of manufacturing process variations, the design optimization process has transitioned from the deterministic domain to the stochastic domain, and the inter-relationships among the specification parameters like delay, power, reliability, noise and area have become more intricate. New methods are required to examine these metrics in a unified manner, thus necessitating the need for multi-metric optimization. The optimization algorithms need to be accurate and efficient enough to handle large circuits. As the size of an optimization problem increases significantly, the ability to cluster the design metrics or the parameters of the problem for computational efficiency as well as better analysis of possible trade-offs becomes critical. In this dissertation research, several utilitarian methods are investigated for variation aware multi-metric optimization in VLSI circuit design and spatial pattern clustering. A novel algorithm based on the concepts of utility theory and risk minimization is developed for variation aware multi-metric optimization of delay, power and crosstalk noise, through gate sizing. The algorithm can model device and interconnect variations independent of the underlying distributions and works by identifying a deterministic linear equivalent model from a fundamentally stochastic optimization problem. Furthermore, a multi-metric gate sizing optimization framework is developed that is independent of the optimization methodology, and can be implemented using any mathematical programming approach. It is generalized and reconfigurable such that the metrics can be selected, removed, or prioritized for relative importance depending upon the design requirements. In multi-objective optimization, the existence of multiple conflicting objectives makes the clustering problem challenging. Since game theory provides a natural framework for examining conflicting situations, a game theoretic algorithm for multi-objective clustering is introduced in this dissertation research. The problem of multi-metric clustering is formulated as a normal form multi-step game and solved using Nash equilibrium theory. This algorithm has useful applications in several engineering and multi-disciplinary domains which is illustrated by its mapping to the problem of robot team formation in the field in multi-emergency search and rescue. The various algorithms developed in this dissertation achieve significantly better optimization and run times as compared to other methods, ensure high utility levels, are deterministic in nature and hence can be applied to very large designs. The algorithms have been rigorously tested on the appropriate benchmarks and data sets to establish their efficacy as feasible solution methods. Various quantitative sensitivity analysis have been performed to identify the inter-relationships between the various design parameters.

This study starts with two theoretical puzzles within the rational choice oriented literature on government formation in parliamentary democracies: the relative importance of constitutional rules and the existence of multiple party goals. From these puzzles stem the research questions that guide the study: First, what is the theoretical and empirical link between constitutional arrangements (including rules) and party goals? Second, what are the goals of political parties and how can these be studied? Third, relative to the goals of political parties and other constitutional arrangements, what is the importance of government formation rules for the empirical record of minority and majority governments?Coalition theory provides the theoretical starting point from which the research questions stem. The historical-institutional strand of new institutionalism is used to guide the general understanding of the importance of institutional context. The rational choice oriented strand is used for a detailed study of the design of the Swedish government formation rules and an analysis of how the formation rules affect the goal seeking (micro-logic) of actors.Based on both cross-national data and an in-depth study of Swedish coalition and government formation, the analysis shows that the answer to research question number one is that the link between constitutional arrangements and party goals is one of co-determination. The answer to research question number two is that party leaders pursue four main goals and that this should be an explicit model assumption. The answer to research question number three is that the government formation rules help determine the parties' bargaining positions and for that reason they are of significant importance for the formation of minority and majority governments. / digitalisering@umu

The occurrence of catastrophic incidents in the process industry leave a marked legacy of resulting in staggering economic and societal losses incurred by the company, the government and the society. The work described herein is a novel approach proposed to help predict and mitigate potential catastrophes from occurring and for understanding the stakes at risk for better risk informed decision making. The methodology includes societal impact as risk measures along with tangible asset damage monetization. Predicting incidents as leading metrics is pivotal to improving plant processes and, for individual and societal safety in the vicinity of the plant (portfolio). From this study it can be concluded that the comprehensive judgments of all the risks and losses should entail the analysis of the overall results of all possible incident scenarios. Value-at-Risk (VaR) is most suitable as an overall measure for many scenarios and for large number of portfolio assets. FN-curves and F$-curves can be correlated and this is very beneficial for understanding the trends of historical incidents in the U.S. chemical process industry. Analyzing historical databases can provide valuable information on the incident occurrences and their consequences as lagging metrics (or lagging indicators) for the mitigation of the portfolio risks. From this study it can be concluded that there is a strong statistical relationship between the different consequence tiers of the safety pyramid and Heinrich‘s safety pyramid is comparable to data mined from the HSEES database. Furthermore, any chemical plant operation is robust only when a strategic balance is struck between optimal plant operations and, maintaining health, safety and sustaining environment. The balance emerges from choosing the best option amidst several conflicting parameters. Strategies for normative decision making should be utilized for making choices under uncertainty. Hence, decision theory is utilized here for laying the framework for choice making of optimum portfolio option among several competing portfolios. For understanding the strategic interactions of the different contributing representative sets that play a key role in determining the most preferred action for optimum production and safety, the concepts of game theory are utilized and framework has been provided as novel application to chemical process industry.

This thesis is an investigation of how subjects behave in an individual binary choice decision task with the option to purchase or observe for free additional information before reaching a decision. In part 1 of this thesis, an investigative study is conducted with the intent to sharpen the view to literature concerning corresponding psychology and economics experiments designed to test decision tasks that involve purchasing and observing information from an imperfect message prior to taking a terminal action choice. This investigative study identifies areas of research that warrant further investigation as well as provides enhancements for execution in the subsequent experiment conducted in Part 2 & 3 of this thesis. In Part 2 & 3, I conduct an experiment to test how subjects behave in an individual binary choice decision task with the option to purchase or observe for free additional information before reaching a final decision. I find that subjects’ behaviour over time converges toward optimal decisions prior to observing an imperfect information signal. However, when subjects observe an imperfect information signal prior to their terminal choice there is greater deviation from optimal behaviour. I find in addition to behaviour that is reflective of a risk-neutral BEU maximizer, status quo bias, over-weighing the informational value of the message received and past statistically independent outcomes influencing future choices. The subjects’ willingness to pay (WTP) to use the additional information gathered from an imperfect message service when making a final decision was on average less than the risk neutral BEU willingness to pay benchmark. Moreover, as the informative value of the message increased, causing the BEU valuation to increase, subjects under-estimated the value of the message signal to a greater degree. Although risk attitudes may have influenced the subjects’ WTP decisions, it does not account for the increased conservative WTP behaviour when information became more valuable. Additionally, the findings from this study suggest that individuals adopt different decision rules depending on both personal attributes (i.e. skillset, gender, experience) and on the context and environment in which the decision task is conducted. / SSHRC grant: Social Sciences and Humanities Research Council via Dr. Bram Cadsby Professor Department of Economics, University of Guelph

[pt] O problema de como alocar ativos de forma eficiente tem sido uma das questões fundamentais em Finanças. Uma das mudanças recentes no mercado brasileiro tem sido o crescimento dos fundos de Contribuição Definida, seguindo a tendência observada em outros mercados. Entretanto, ao focalizar decisões de investimento sob o ponto de vista do investidor individual, surge a necessidade de incluir a tributação no processo de alocação de carteiras. Neste contexto, este trabalho analisa a decisão de alocação e localização preferencial para as classes de ativos, em veículos de investimento com tributação convencional, ou com diferimento de imposto, mediante a legislação local. O investidor possui dois tipos de riqueza, seu capital financeiro acumulado, e o capital humano, representado pela capacidade de gerar rendimentos futuros. A solução é obtida por alocação multiperiódica de recursos, seguindo o critério de maximização da utilidade esperada da riqueza final. Face à eficiência tributária dos fundos mútuos de ações domésticos, estes podem ser priorizados na localização externa aos planos com tributação diferida, coerente com resultados recentes para o mercado americano. Contudo, se existem diferenças nas rentabilidades das classes de ativos, nos distintos veículos de investimentos, aquela localização prioritária pode mudar, pelo menos para aplicações com objetivos a serem atingidos em prazos reduzidos. / [en] The question of how to allocate assets efficiently has been one of the central issues in Finance. As perceived in other markets, one of the recent trends in the Brazilian market has been the growth of Defined Contribution Funds. However, when focusing on investment decisions for individual investors, taxes must be taken into account. In this context, the asset allocation and location is solved for brazilian assets, when the investor has to save in both investment vehicles with conventional, and deferred taxation, according to the local rules. The investor has two kinds of wealth, the accumulated financial wealth, and the human capital, representing the cash-flows that can be produced in the future. The solution is obtained through multi-period asset allocation, for an investor maximizing the expected utility of terminal wealth. Due to the tax efficiency of domestic equity mutual funds, stocks should have preferential location outside the deferred account, in accordance with recent results for the american market. However, if there are performance differences among the asset classes, within distinct investment vehicles, that preferred location may change, at least for short term investment objectives.

The dissertation called Economic and Psychological Aspects of a Consumer's Behaviour and Decision-Making is dedicated to a consumer's behaviour and decision-making in economic and financial issues from the perspective of classic economy, psychology and behavioural economy. The theoretical part describes the expected utility theory and psychological findings on one hand, and presents the so called Prospect Theory and systematic biases on the other hand. The practical part comprises a research. Mission of the questionnaire survey is to find out whether behaviour and decision-making are rational and correspond with the classic economy theory or whether consumers behave irrationally and verify presumptions of behavioural economy.

Insurance has been considered as a useful tool for farmers to mitigate income volatility. However, there remain concerns that insurance may distort crop production decisions. Positive mathematical programming (PMP) models of farmers’ cropping decisions can be applied to study the effect of agricultural business risk management (BRM) policies on farmers’ decisions on land use and their incomes. Before being used to examine agricultural producer responses to policy changes under the expected utility framework, the models must first be calibrated to obtain the values of the risk aversion coefficient and the cost function parameters. In chapter 2, three calibration approaches are compared for disentangling the risk parameter from the parameters of the cost function. Then, in chapter 3, to investigate the impacts on production incentives of changes in Canada’s AgriStability program, farm management models are calibrated for farms with different cost structures for three different Alberta regions. Results indicate that farmers’ observed attitudes towards risk vary with cost structure. After joining the program, all farmers alter their land allocations to some extent. The introduction of a reference margin limit (RML) in the AgriStability program under Growing Forward 2 (2013-2018), which was retained in the replacement legislation until 2020, has the most negative impact on farmers with the lowest costs. The removal of RML significantly increases the benefits to low-cost farmers. Traditional insurance products provide financial support to farmers. However, for fruit farmers, the products’ quality can be greatly affected by the weather conditions during the stage of fruit development and ripening, which may lead to quality downgrade and a significant loss in revenue with little impacts on yields. Hence, chapters 4 and 5 investigate the conceptual feasibility of using weather-indexed insurance (WII) to hedge against non-catastrophic, but quality-impacting weather conditions to complement existing traditional insurance. Prospect theory is applied to analyze a farmer’s demand for WII. The theoretical model demonstrates that an increase in the volatility of total revenue and the revenue proportion from blueberries increases the possibility of farmers’ participation in WII. On the other hand, the increase in the value loss aversion coefficient and WII’s basis risk leads to less demand for WII. To design a WII product for blueberry growers to hedge against quality risk, a quality index must be constructed and the relationship between key weather conditions, such as cumulative maximum temperature and cumulative excess rainfall, and the quality index should be quantified. The results from a partial least squares structural equation modeling (PLS-SEM) show that the above goals are achievable. Further, rainfall and temperature can be modelled via a time-series model and statistical distributions, respectively, to provide reasonable estimates for calculating insurance premia. / Graduate / 2022-08-05