Bakgrund: I och med den globala finansiella kris som utbröt år 2008 påvisades ett flertal brister i den befintliga lagstiftningen på finansmarknadsområdet. Den rådande EU-lagstiftningen behövde uppdateras och anpassas efter en mer komplex finansmarknad. Därmed antogs av Europaparlamentet och rådet år 2014 två nya rättsakter, MiFID II och MiFIR, i syfte att täcka rådande brister och vidareutveckla den befintliga regleringen i det gällande direktivet MiFID.   Syfte: Syftet med uppsatsen är att utreda och analysera de effekter som införandet av MiFID II får för finansiella rådgivare såväl som för portföljförvaltare i deras löpande verksamhet.   Genomförande: Studien har genomförts med ett rättsdogmatiskt angreppssätt i referensramen. Vidare används ett rättsekonomiskt angreppssätt i analysen där det även förs en etisk diskussion. Underliggande direktiv ”Europaparlamentets och rådets direktiv 2014/65/EU av den 15 maj 2014 om marknader för finansiella instrument och om ändring av direktiv 2002/92/EG och av direktiv 2011/61/EU” har legat till grund för studien där störst vikt har lagts vid regeringens proposition 2016/17:162: “Nya regler om marknader för finansiella instrument”.                                                                  Slutsats: Studiens resultat av de analyserade ändringarna visar på att regleringen kring tillståndspliktiga värdepappersbolag kommer att bli mer omfattande samt att det kommer att ställas högre krav på dokumentation vid investeringssammanhang. Dessa ökade krav torde medföra att kostnaderna, för såväl tillståndspliktiga bolag som tillsynsmyndigheter, kommer att öka samtidigt som fler bolag kommer att bli tvungna att underkasta sig tillståndsplikt. Ur en konkurrenssynpunkt riskerar ändringarna att gynna stora och/eller kapitalstarka aktörer och därigenom snedvrida konkurrensen på marknaden. Det föreslagna provisionsförbudet torde å sin sida verka för att kapital omallokeras från bolag som tidigare levt på höga avgifter och incitamentsstrukturer till att istället förflyttas till bolag vilka levererar en bra tjänst och produkt. / Background: Due to the global financial crisis that occurred in 2008, multiple deficiencies in existing financial market legislation were identified. The current EU legislation was in need of update and to be adapted to a more complex financial market. Therefore, the European Parliament and the Council adopted two new legal acts in 2014, MiFID II and MiFIR, to overcome current shortcomings and further develop the existing regulation in the current MiFID Directive. Aim: The purpose of this paper is to investigate and analyze the effects of the introduction of MiFID II for financial advisors as well as for asset managers in their ongoing operations. Completion: The study has been conducted with a legal-judicial approach in the theoretical part, whereas we in the analysis part we use law and economics. In the analysis the ethical impact of the changes in legislation is also discussed. “Directive 2014/65/EU of the European parliament and of the council of 15 May 2014 on markets in financial instruments and amending Directive 2002/92/EC and Directive 2011/61/EU” as well as the Swedish bill “2016/17:162: “Nya regler om marknader för finansiella instrument” has provided the basis for the study. Conclusion: The results of the study indicate that the regulation of licensed securities companies will increase and become more extensive, and that there will be more requirements for documentation in investment context. These increased requirements will lead to a rise in costs, both for licensed companies and regulators, as more companies will need to be subject to a license requirement. From a competitive point of view, the changes tend to benefit large and/or capital-strong players, thereby distorting competition in the market. The prohibition of commission, on the other hand, should result in a re-allocation of capital from companies that previously received their incomes from high fees and incentive structures to instead be re-allocated to companies that deliver a good service and a good product.

The proposition of this dissertation is that superior capital budgeting solutions can be attained by not only analyzing projects individually but rather as part of a portfolio of projects that has the objective of maximizing the company’s range of multiple objectives, not only the economic benefit. The dissertation starts with a detailed study of current techniques and an assessment of flaws and shortcomings. This study concludes with the requirements that any new approach or model must address in order to improve on the current practices. Based on these requirements, a new model is developed based on the portfolio approach that integrates all the assumptions, constraints, project and variable interrelationships. An important feature of the model is that it selects its portfolio of capital projects in such a way that it optimizes support for the company’s multiple objectives, not only the economic objective. The dissertation concludes with the application of this model to a hypothetical case. It is concluded that, by developing and using this model, a company can improve the analysis required before capital budgets are finalized. / Dissertation (MEng (Industrial Engineering))--University of Pretoria, 2006. / Industrial and Systems Engineering / unrestricted

Diploma thesis is focused on the design of mobile application used in project management and projects portfolio management. The design was created based on the results of analysis of the mobile applications for PM and PPM. The analysis was developed in two steps and its parameters are based on the information provided in the theoretical part. Results of the analysis were used for creating a design of the mobile application, which consists of three basic parts - design functionality, user interface and technical background. The final design was verified by experts to confirm its practical benefits and uses.

This project focused on developing the ideal Asset / Liability Model for credit unions with assets between one hundred million and five hundred million dollars. Ideally the model should be closely aligned with that of a successful credit union at the high end of this range. SELCO Community Credit Union of Eugene Oregon was used in creating the model.

La présente thèse a pour objectif principal de développer des approches déterministes et heuristiques pour résoudre certaines classes de problèmes d'optimisation en Finance, Affectation et Recherche d’Informations. Il s’agit des problèmes d’optimisation non convexe de grande dimension. Nos approches sont basées sur la programmation DC&DCA et la méthode Cross-Entropy (CE). Grâce aux techniques de formulation/reformulation, nous avons donné la formulation DC des problèmes considérés afin d’obtenir leurs solutions en utilisant DCA. En outre, selon la structure des ensembles réalisables de problèmes considérés, nous avons conçu des familles appropriées de distributions pour que la méthode Cross-Entropy puisse être appliquée efficacement. Toutes ces méthodes proposées ont été mises en œuvre avec MATLAB, C/C++ pour confirmer les aspects pratiques et enrichir notre activité de recherche. / In this thesis we focus on developing deterministic and heuristic approaches for solving some classes of optimization problems in Finance, Assignment and Search Information. They are large-scale nonconvex optimization problems. Our approaches are based on DC programming & DCA and the Cross-Entropy method. Due to the techniques of formulation/reformulation, we have given the DC formulation of considered problems such that we can use DCA to obtain their solutions. Also, depending on the structure of feasible sets of considered problems, we have designed appropriate families of distributions such that the Cross-Entropy method could be applied efficiently. All these proposed methods have been implemented with MATLAB, C/C++ to confirm the practical aspects and enrich our research works.

Abstract Products and services are critical for companies as they create the foundation for companies’ financial success. Twenty per cent of company products typically account for some eighty per cent of sales volume. Nevertheless, the product portfolio decisions — how to strategically renew company product offering — tend to involve emotions, pet products and who-shout-the-loudest mentality while facts, numbers, and quantitative analyses are missing. Profitability is currently measured and reported at a company level, and firms seem unable to measure product-level profitability in a constant way. Consequently, companies are unable to maintain and renew their product portfolio in a strategically or commercially balanced way. The main objective of this study is to provide a data-driven product portfolio management (PPM) concept, which recognises and visualises in real-time and based on facts which company products are concurrently strategic and profitable, and what is the share of them in the product portfolio. This dissertation is a qualitative study to understand the topical area by the means combining literature review, company interviews, observations, and company internal material, to take steps towards data-driven decision-making in PPM. This study indicates that company data assets need to be combined and governed company-widely to realise the full potential of company strategic assets — the DATA. Data must be governed separately from business IT technology and beyond it. Beyond data and technology, the data-driven company culture must be adopted first. The data-driven PPM concept connects key business processes, business IT systems and several concepts, such as productization, product lifecycle management and PPM. The managerial implications include, that the shared understanding of the company products is needed, and the commercial and technical product structures are created accordingly, as they form the backbone of the company business as the skeleton to gather all product-related business-critical information for product-level profitability analysis. Also, product classification for strategic, supportive and non-strategic is needed, since the strategic nature of the product can change during the entire product lifecycle, e.g. due to the technology obsolescence, disruptive innovations by competitors, or for any other reason. / Tiivistelmä Tuotteet ja palvelut ovat yrityksille kriittisiä, sillä ne luovat perustan yritysten taloudelliselle menestykselle. Kaksikymmentä prosenttia yrityksen tuotteista edustaa tyypillisesti noin kahdeksaakymmentä prosenttia myyntimääristä. Siitä huolimatta tuoteporfoliopäätöksiin — kuinka strategisesti uudistetaan yrityksen tuotetarjoomaa — liittyy tunteita, lemmikkituotteita ja kuka-huutaa-kovimmin -mentaliteettia faktojen, numeroiden ja kvantitatiivisten analyysien puuttuessa. Kannattavuutta mitataan ja raportoidaan tällä hetkellä yritystasolla, ja yritykset eivät näyttäisi pystyvän mittaamaan tuotetason kannattavuutta johdonmukaisesti. Tämä estää yrityksiä ylläpitämästä ja uudistamasta tuotevalikoimaansa strategisesti tai kaupallisesti tasapainoisella tavalla. Tämän tutkimuksen päätavoite on tarjota dataohjattu (data-driven) tuoteportfoliohallinnan konsepti, joka tunnistaa ja visualisoi reaaliajassa ja faktapohjaisesti, mitkä yrityksen tuotteet ovat samanaikaisesti strategisia ja kannattavia ja mikä on niiden osuus tuoteportfoliossa. Tämä väitöskirja on laadullinen tutkimus, jossa yhdistyy kirjallisuuskatsaus, yrityshaastattelut, havainnot ja yritysten sisäinen dokumentaatio, joiden pohjalta pyritään kohti dataohjautuvaa päätöksentekoa tuoteportfolion hallinnassa. Tämä tutkimus osoittaa, että yrityksen data assettit on yhdistettävä ja hallittava yrityksenlaajuisesti, jotta yrityksen strategisten assettien — DATAN — potentiaali voidaan hyödyntää kokonaisuudessaan. Data on hallittava erillään yrityksen IT-teknologiasta ja sen yläpuolella. Ennen dataa ja teknologiaa on omaksuttava dataohjattu yrityskulttuuri. Dataohjatun tuoteportfolionhallinnan konsepti yhdistää keskeiset liiketoimintaprosessit, liiketoiminnan IT-järjestelmät ja useita konsepteja, kuten tuotteistaminen, tuotteen elinkaaren hallinta ja tuoteportfolion hallinta. Yhteisymmärrys yrityksen tuotteista ja sekä kaupallisen että teknisen tuoterakenteet luominen vastaavasti on ennakkoedellytys dataohjatulle tuoteportfolion hallinnalle, koska ne muodostavat yrityksen liiketoiminnan selkärangan, joka yhdistää kaikki tuotteisiin liittyvät liiketoimintakriittiset tiedot tuotetason kannattavuuden analysoimiseksi. Lisäksi tarvitaan tuotteiden kategorisointi strategisiin, tukeviin ja ei-strategisiin tuotteisiin, koska tuotteen strateginen luonne voi muuttua tuotteen elinkaaren aikana, johtuen esimerkiksi teknologian vanhenemisesta, kilpailijoiden häiritsevistä innovaatioista tai mistä tahansa muusta syystä.

[pt] Este trabalho propõe um modelo de otimização robusta de pior caso orientado por dados aplicado na seleção de um portfólio de títulos de renda fixa. A gestão das carteiras implica na tomada de decisões financeiras e no gerenciamento do risco através da seleção ótima de ativos com base nos retornos esperados. Como estes são variáveis aleatórias incertas foi incluído um conjunto definido de incertezas estimadas diretamente no processo de otimização, chamados de cenários. Foi usado o modelo de ajuste de curvas Nelson e Siegel para construir as estruturas a termo das taxas de juros empregadas na precificação dos títulos, um ativo livre de risco e alguns ativos com risco de maturidades diferentes. Os títulos prefixados são marcados a mercado porque estão sendo negociados antes do prazo de vencimento. A implementação ocorreu pela simulação computacional usando dados de mercado e dados estimados que alimentaram o modelo.Com a modelagem de otimização robusta foram realizados diferentes testes como: analisar a sensibilidade do modelo frente às variações dos parâmetros verificando seus resultados e a utilização de um horizonte de janela rolante para simular o comportamento ao longo do tempo. Obtidas as composições ótimas das carteiras, foi feito o backtesting para avaliar o comportamento das alocações com o retorno real e também a comparação com o desempenho de umbenchmark. Os resultados dos testes mostraram a adequação do modelo da curva de juros e bons resultados de alocação do portfólio robusto, que apresentaram confiabilidade até em períodos de crise. / [en] This paper proposes a data-driven worst case robust optimization model applied in the selection of a portfolio of fixed income securities. The portfolio management implies in financial decision-making and risk management through the selection of optimal assets based on expected returns. As these are uncertain random variables, was included a defined set of estimated uncertainties directly in the optimization process, called scenarios. The Nelson and Siegel curve fitting model was used to construct the term structure of the interest rates employed in the pricing of securities, a risk-free asset and some risky assets of different maturities. The fixed-rate securities are marked to market because they are being traded before the maturity date. The implementation took place through computational simulation using market data and estimated data that fed the model. With robust optimization modeling were done different tests such as: analyze the sensitivity of the model to the variations of the parameters checking the results and the use of a rolling horizon scheme to simulate behavior over time. Once the optimal portfolio composition was obtained, the backtesting was done to evaluate the behavior of the allocations with the real return and also the comparison with the performance of a benchmark. The results of the tests showed the adequacy of the interest curve model and good allocation results of the robust portfolio, which presented reliability even in times of crisis.

In 2005 Attilio Meucci presented his article Beyond Black-Litterman: Views on Non-Normal Markets which introduces the copula opinion pooling approach using generic non-normal market assumptions. Copulas and opinion pooling are used to express views on the market which provides a posterior market distribution that smoothly blends an arbitrarily distributed market prior distribution with arbitrarily chosen views. This thesis explains how to use this method in practice and investigates its performance in different investment situations. The method is tested on three portfolios, each showing some different feature. The conclusions that can be drawn are e.g. that the method can be used in many different investment situations in many different ways, implementation and calculations can be made within a few seconds for a large data set and the method could be useful for portfolio managers using mathematical methods. The presented examples together with the method generate reasonable results.

The aim of the diploma thesis is to describe and analyse information sources, which are useful for the molecules portfolio selection suitable for the future development of a generic drug. These information sources should be examined on the case study of the portfolio selection in a given therapeutic area. The topic of the diploma thesis is presented in the context of basic principles and functions of the generic farmaceutical industry and its information needs. The introductory chapter characterizes the farmaceutical industry in general and warn on a competitive environment, which the farmaceutical companies can succeed in thanks to the advanced methods of the business intelligence. The second chapter focuses on the differences betwen the generic and original pharmaceutical industry, a drug lifecycle is also introduced there. The next chapter specifies the methods of the business intelligence in the generic pharmaceutical industry on the ground of its information needs. The fourth chapter plays a key role. First of all, it introduces general characteristics of information sources used in the strategic portfolio management. Secondly, the detailed description and analysis of eight main information sources used by the generic companies within business intelligence follows. In the last chapter these...

Indiana University-Purdue University Indianapolis (IUPUI) / This dissertation consists of two essays on nonprofit finance. Nonprofit finance concerns obtaining and managing financial resources to support the social purposes of nonprofit organizations. A unique feature of nonprofit finance is that nonprofits derive revenue from a variety of sources. Nonprofit finance thus involves answering two fundamental questions: What is the optimal combination of revenue sources that supports a nonprofit to achieve its mission? Where and how to obtain the revenue sources? The two dissertation essays address these two questions respectively. The first essay, titled “Modern Portfolio Theory and the Optimization of Nonprofit Revenue Mix,” is among the first to properly apply modern portfolio theory (MPT) from corporate finance to nonprofit finance. By analyzing nonprofit tax return data, I estimate the expected return and risk characteristics for five nonprofit revenue sources as well as the correlations among these returns. I use the estimates to identify the efficient frontiers for nonprofits in different industries, based on which nonprofit managers can select an optimal portfolio that can minimize the risk given a preferred level of service provision or maximize the return given a level of risk. The findings also pose a challenge to the predominant approach used in previous nonprofit finance studies (Herfindahl-Hirschman Index) and suggest that MPT is theoretically and practically more helpful in guiding nonprofit revenue management. The second essay, titled “Charitable Giving in Nonprofit Service Associations: Identities, Incentives, and Gender Differences,” concerns nonprofit resource attainment, specifically, how do decisionmaking contexts and framing affect donations. Membership in a service club is characterized by two essential elements: members’ shared interest in the club’s charitable mission; and private benefits that often come as a result of social interactions with other members, such as networking, fellowship, and fun. A laboratory experiment was designed to examine 1) whether membership in a service club makes a person more generous and 2) the effect of service club membership—stressing either the service or socializing aspects—on individual support for collective goods. The study finds that female individuals are the least generous when they are reminded of the socializing aspect of service-club membership.