Submitted by EDISON AMERICO HUARSAYA TITO (edison.tito@gmail.com) on 2016-06-23T14:02:55Z No. of bitstreams: 1 EdisonMscFGV(20160619).pdf: 2366030 bytes, checksum: 231be2cde1e7f8e01331fddff3f227a1 (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2016-06-23T14:36:07Z (GMT) No. of bitstreams: 1 EdisonMscFGV(20160619).pdf: 2366030 bytes, checksum: 231be2cde1e7f8e01331fddff3f227a1 (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2016-06-24T12:51:11Z (GMT) No. of bitstreams: 1 EdisonMscFGV(20160619).pdf: 2366030 bytes, checksum: 231be2cde1e7f8e01331fddff3f227a1 (MD5) / Made available in DSpace on 2016-06-29T12:06:48Z (GMT). No. of bitstreams: 1 EdisonMscFGV(20160619).pdf: 2366030 bytes, checksum: 231be2cde1e7f8e01331fddff3f227a1 (MD5) Previous issue date: 2016-06-03 / This work has the objective to address the problem of asset allocation (portfolio analysis) under a Bayesian perspective. For this it was necessary to review all the theoretical analysis of the classical mean-variance model and following identify their deficiencies that compromise its effectiveness in real cases. Interestingly, its biggest deficiency this not related to the model itself, but by its input data in particular the expected return calculated on historical data. To overcome this deficiency the Bayesian approach (Black-Litterman model) treat the expected return as a random variable and after that builds a priori distribution (based on the CAPM model) and a likelihood distribution (based on market investor’s views) to finally apply Bayes theorem resulting in the posterior distribution. The expected value of the return of this posteriori distribution is to replace the estimated expected return calculated on historical data. The results showed that the Bayesian model presents conservative and intuitive results in relation to the classical model of mean-variance. / Este trabalho tem com objetivo abordar o problema de alocação de ativos (análise de portfólio) sob uma ótica Bayesiana. Para isto foi necessário revisar toda a análise teórica do modelo clássico de média-variância e na sequencia identificar suas deficiências que comprometem sua eficácia em casos reais. Curiosamente, sua maior deficiência não esta relacionado com o próprio modelo e sim pelos seus dados de entrada em especial ao retorno esperado calculado com dados históricos. Para superar esta deficiência a abordagem Bayesiana (modelo de Black-Litterman) trata o retorno esperado como uma variável aleatória e na sequência constrói uma distribuição a priori (baseado no modelo de CAPM) e uma distribuição de verossimilhança (baseado na visão de mercado sob a ótica do investidor) para finalmente aplicar o teorema de Bayes tendo como resultado a distribuição a posteriori. O novo valor esperado do retorno, que emerge da distribuição a posteriori, é que substituirá a estimativa anterior do retorno esperado calculado com dados históricos. Os resultados obtidos mostraram que o modelo Bayesiano apresenta resultados conservadores e intuitivos em relação ao modelo clássico de média-variância.

Submitted by Marcio Pintan (mpintan@gmail.com) on 2018-06-25T18:13:19Z No. of bitstreams: 1 financas-pintan-dissertação versao final.pdf: 1855884 bytes, checksum: 0ac7f69afc81d4cea8446f01d309fd99 (MD5) / Approved for entry into archive by Mayara Costa de Sousa (mayara.sousa@fgv.br) on 2018-08-13T16:18:19Z (GMT) No. of bitstreams: 1 financas-pintan-dissertação versao final.pdf: 1855884 bytes, checksum: 0ac7f69afc81d4cea8446f01d309fd99 (MD5) / Approved for entry into archive by Suzane Guimarães (suzane.guimaraes@fgv.br) on 2018-08-13T16:25:32Z (GMT) No. of bitstreams: 1 financas-pintan-dissertação versao final.pdf: 1855884 bytes, checksum: 0ac7f69afc81d4cea8446f01d309fd99 (MD5) / Made available in DSpace on 2018-08-13T16:25:32Z (GMT). No. of bitstreams: 1 financas-pintan-dissertação versao final.pdf: 1855884 bytes, checksum: 0ac7f69afc81d4cea8446f01d309fd99 (MD5) Previous issue date: 2018-05-25 / Esta dissertação trata das operações realizadas na BM&F BOVESPA chamadas comumente de 'Day Trading', ou seja, operações cuja compra (ou venda) e a liquidação são realizadas no mesmo dia. Tal questão é relevante, principalmente para o pequeno investidor, por possibilitar a otimização do resultado da sua carteira de investimento ao longo do tempo. O objetivo de pesquisa deste trabalho é apresentar e testar algumas técnicas utilizadas pelos operadores do mercado financeiro na modalidade 'Day Trading'. Em conjunto com a verificação das teorias de análise gráfica, o trabalho pretende conciliar tais técnicas preditivas com teorias de gestão de risco e de gestão de portfólio, nesse caso mais precisamente a teoria moderna de portfólio de Markowitz, de forma a testar a eficiência da combinação entre essas teorias no mercado de ações brasileiro, e se existe a possibilidade de otimização dos resultados que um investidor pode alcançar ao longo do tempo. Para atingir este objetivo foi realizada uma pesquisa quantitativa utilizando técnicas de análise gráfica baseadas em teorias amplamente conhecidas no mercado de capitais, como os Princípios de Ondas de Elliott e a Teoria de Dow. A partir dos indicadores de sucesso obtidos por essas técnicas preditivas (através de 'backtests'), o presente trabalho testa a efetividade das questões relativas a eficiência de mercado apresentadas nas Hipótese de Mercados Eficientes de Fama (1970). As principais conclusões desta dissertação sugerem que uma estratégia passiva, de compra e manutenção do Índice Bovespa, domina respectivamente estratégias baseadas na Teoria de Markowitz e estratégias ativas de Day Trading baseadas em análise técnica. Os resultados trazem uma grande contribuição para o pequeno investidor através de uma maior compreensão sobre possibilidades que as operações de curto prazo podem trazer para ao seu portfólio de investimentos e confirma a visão de que o mercado de ações brasileiro é eficiente em sua forma fraca. / This thesis deals with operations carried out on BM&F BOVESPA commonly called 'Day Trading', which are operations whose purchase (or sale) and settlement are carried out on the same day. This issue is relevant, especially for the small investor, because it allows the optimization of the result of their investment portfolio over time. The objective of this research is to present and test some techniques used by financial market traders in the 'Day Trading' modality. In conjunction with the verification of theories of technical analysis, the paper aims to reconcile such predictive techniques with theories of risk management and portfolio management, in this case more precisely the Modern Portfolio Theory of Markowitz, in order to test the efficiency of the combination between these theories in the Brazilian stock market, and whether there is a possibility of optimizing the results that an investor can achieve over time. To achieve this goal a quantitative research is performed using graphical analysis techniques based on theories widely known in the capital market, such as the Elliott Wave Principle and the Dow Theory. From the indicators of success obtained by these predictive techniques (through backtests), the present research explores aspects of market efficiency presented in the Efficient Market Hypothesis of Fama (1970). The main conclusions of this dissertation suggest that a passive buy and hold strategy of the Bovespa Index dominates respectively strategies based on Markowitz Theory and active day trading strategies based on technical analysis. The results make a contribution to the small investor through a better understanding of the possibilities that short-term operations can bring to their investment portfolios and confirms the view that the Brazilian stock market is efficient in its weak form.

The recent global financial crisis, regulatory and compliance requirements placed on organisations, and the need for scientific research in the project portfolio management discipline were factors that motivated this research. The interest and contribution to the body of knowledge in project portfolio management has been growing significantly in recent years, however, there still appears to be a misalignment between literature and practice. A particular area of concern is the decision-making, during the management of the portfolio, regarding which projects to accelerate, suspend, or terminate. A lack of determining the individual and cumulative contribution of projects to strategic objectives leads to poorly informed decisions that negate the positive effect that project portfolio management could have in an organisation. The focus of this research is, therefore, aimed at providing a mechanism to determine the individual and cumulative contribution of projects to strategic objectives so that the right decisions can be made regarding those projects. This thesis begins with providing a context for project portfolio management by confirming a definition and providing a theoretical background through related theories. An investigation into the practice of project portfolio management then provides insight into the alignment between literature and practice and confirms the problem that needed to be addressed. A conceptual model provides a solution to the problem of determining the individual and cumulative contribution of projects to strategic objectives. The researcher illustrates how the model can be extended before verifying and validating the conceptual model. Having the ability to determine the contributions of projects to strategic objectives affords decision makers the opportunity to conduct what-if scenarios, enabled through the use of dashboards as a visualization technique, in order to test the impact of their decisions before committing them. This ensures that the right decisions regarding the project portfolio are made and that the maximum benefit regarding the strategic objectives is achieved. This research provides the mechanism to enable better-informed decision- making regarding the project portfolio. / Computing / D. Phil. (Computer science)

This thesis explores the application of Markowitz' Modern Portfolio Theory onto 220 years of financial returns for 13 metals and 21 poly-metallic ore types. The interdisciplinary research shows that poly-metallic ores can be described as naturally occurring portfolios that were diversified by natural geological processes. Safest and optimal portfolios for metals and ores can be computed for different time horizons using portfolio optimization algorithms. Results for optimized ore portfolios are thereby subject to geological constraints. The study revealed that commodity cycles last between six and twenty years and exhibit clockwise and counterclockwise motions in the risk-return framework. The cycle length differences for clockwise cycles are statistically significant and thus specific to all investigated metals and ores. By incorporating novel cycle parameters into decision making tools it is suggested that current industry decisions for resource development can be improved. Insights into the performance of metals and ores through the industrial cycles, as well as into the frequency of profitable super cycles can assist Metals & Mining executives in strategic planning and investment.:Introduction 1 Data 3 Metals & ore types studied 5 2.1 Metals.......................................... 5 2.2 Ore types ........................................ 5 2.3 Prices .......................................... 10 2.4 Summary ........................................ 12 II Analysis 13 3 Modern Portfolio Theory 15 3.1 Overview ........................................ 15 3.2 Definitions........................................ 15 3.3 Assumptions ...................................... 17 3.4 Discussion & Conclusion................................ 18 4 Poly-metallic ores as natural portfolios 19 4.1 Objectives........................................ 19 4.2 Results.......................................... 19 4.3 Summary & Discussion................................. 24 4.4 Conclusion ....................................... 25 5 Static portfolio optimization 27 5.1 Objectives........................................ 27 5.2 Assumptions ...................................... 27 5.3 Results.......................................... 27 5.4 Summary & Discussion................................. 31 5.5 Conclusion ....................................... 32 6 Dynamic portfolio optimization 33 6.1 Assumptions ...................................... 33 6.2 Results.......................................... 34 6.3 Summary & Discussion................................. 44 6.4 Conclusion ....................................... 45 7 Commodity cycles & metal assets 47 7.1 Commodity cycles ................................... 47 7.2 Commodity cycle observations ............................ 54 7.3 Summary ........................................ 76 7.4 Discussion........................................ 77 7.5 Conclusion ....................................... 78 III Application 81 8 Commodity cycles & resource development strategies 83 8.1 The timing of mine development and mining start-up................ 83 8.2 Lead times from discovery to operation........................ 88 8.3 Exploration....................................... 89 8.4 Project valuation considerations............................ 91 8.5 Summary & Discussion................................. 92 8.6 Conclusion ....................................... 93 9 Industrial cycles & modern history 95 9.1 The Metal Markets Indicator-MMI ......................... 95 9.2 The Metal Markets Indicator & the economy .................... 97 9.3 The MMI & military conflict ............................. 105 9.4 MMI cyclicality..................................... 115 9.5 Summary & Discussion................................. 122 9.6 Conclusion ....................................... 123 10 Industrial cycles & metal performance 125 10.1 Methodology ...................................... 125 10.2 Metal performance during technological epochs ................ 126 10.3 Discussion........................................ 133 10.4 Conclusion ....................................... 137 11 Industrial cycles & ore type preferences 139 11.1 Coal Age ........................................ 139 11.2 Oil Age ......................................... 142 11.3 Atomic Age....................................... 144 11.4 Discussion........................................ 146 11.5 Conclusion ....................................... 150 12 Industrial cycles & ore provinces 151 12.1 Ore genetic models and industrial cycles....................... 151 12.2 Ore geology and geography .............................. 154 12.3 Ore provenances and mining technology ....................... 156 12.4 Discussion........................................ 157 12.5 Conclusion ....................................... 157 13 The state and future of the M&M Industry 159 13.1 The current state.................................... 159 13.2 The dawn of a new Industrial Age .......................... 163 13.3 The future........................................ 164 13.4 Summary & Discussion................................. 167 13.5 Conclusion ....................................... 168 14 Summary 169 15 Conclusion 171 IV Appendix 173 Bibliography 233 Index 245

In this thesis the relationship between regional composition and risk-adjusted performance is evaluated concerning Swedish issued green mutual equity funds. By using three different indices; Sharpe, Jensen and Treynor, a relationship has been able to establish. The study finds no strong relationship between geographic composition and performance concerning any of the indices and thus the impact of diversifying one's portfolio has little impact. By using the Modern Portfolio Theory, Stewardship Theory, Home Bias Theory and Behavioral Finance Theory a theoretical discussion has been established in order to further examine and analyze the fundamental dynamics of this relationship. Lastly, model risk and other variables impact on performance has been investigated. Our study finds a potential model risk since our three indices results disparate. Further, ESG related factors and Morningstar ratings seem to impact performance greater than regional composition.

The financial markets have a complex structure and the modelling techniques have recently been more and more complicated. So for a portfolio manager it is very important to find better and more sophisticated modelling techniques especially after the 2007-2008 banking crisis. The idea in this thesis is to find the connection between the components in macroeconomic environment and portfolios consisting of assets from OMX Stockholm 30 and use these relationships to perform Tactical Asset Allocation (TAA). The more specific aim of the project is to prove that dynamic modelling techniques outperform static models in portfolio theory. / Den finansiella marknaden är av en väldigt komplex struktur och modelleringsteknikerna har under senare tid blivit allt mer komplicerade. För en portföljförvaltare är det av yttersta vikt att finna mer sofistikerade modelleringstekniker, speciellt efter finanskrisen 2007-2008. Idéen i den här uppsatsen är att finna ett samband mellan makroekonomiska faktorer och aktieportföljer innehållande tillgångar från OMX Stockholm 30 och använda dessa för att utföra Tactial Asset Allocation (TAA). Mer specifikt är målsättningen att visa att dynamiska modelleringstekniker har ett bättre utfall än mer statiska modeller i portföljteori.

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.

[pt] A teoria moderna de carteiras estabelece que a alocação ótima de ativos é uma função da média-variância da distribuição dos retornos. Na prática, estes retornos são modelados por distribuições Gaussianas e seus parâmetros são estimados a partir dos dados históricos do mercado, utilizando técnicas descritivas da estatística Frequentista. A dinâmica atual dos mercados globalizados gera períodos aleatórios de alta e baixa volatilidade e/ou saltos nos retornos dos ativos, provocando mudanças de regime ou quebras estruturais na série temporal dos retornos, tornando-os não Gaussianos. Consequentemente, a teoria moderna de carteiras precisa ser adaptada para atender a estas novas condições do mercado. Para contornar o problema das mudanças de regime, propõe-se a substituição do mecanismo de otimização baseada no índice de Sharpe pela otimização baseada na medida Ômega. Isto porque a medida Ômega tem a vantagem de quantificar o risco-retorno de qualquer distribuição de probabilidade e não somente distribuições Gaussianas como acontece com o índice de Sharpe, ou seja, as distribuições de retornos não Gaussianos provocadas pelas mudanças de regime são tratadas naturalmente pela medida Ômega. Para contornar o problema das quebras estruturais, propõe-se a substituição do procedimento de estimação dos parâmetros da distribuição dos retornos, baseada em técnicas da estatística Frequentista por técnicas da estatística Bayesiana. Isto porque a estatística Bayesiana, tem a vantagem de combinar as informações públicas do mercado (dados históricos dos retornos) com informações privadas do investidor (visões prospectivas do mercado) permitindo corrigir a quebra estrutural e, na sequência, tratar o retorno não Gaussiano, utilizando o mecanismo de otimização baseada na medida Ômega. / [en] Modern portfolio theory states that the optimal asset allocation is a function of the mean-variance of the distribution of returns. In practice, these returns are modeled by Gaussian distributions and their parameters are estimated from historical market data, using descriptive techniques of Frequentist statistics. The current dynamics of globalized markets generate random periods of high and low volatility and/or jumps in asset returns, causing regime shifts or structural breaks in the time series of returns, making them non Gaussian. Consequently, modern portfolio theory needs to be adapted to meet these new market conditions. To circumvent the problem of regime shifts, it is proposed to replace the optimization mechanism based on the Sharpe index by the optimization based on the Omega measure. This is because the Omega measure has the advantage of quantifying the risk-return of any probability distribution and not only Gaussian distributions as with the Sharpe index, that is, non Gaussian returns distributions caused by regime shifts are treated naturally by the Omega measure. To circumvent the problem of structural breaks, it is proposed to replace the estimation procedure for the parameters of the distribution of returns, based on Frequentist statistics techniques, by Bayesian statistical techniques. This is because the Bayesian statistic has the advantage of combining public market information (historical return data) with private investor information (prospective market views) allowing to correct the structural break, and subsequently, treating the non Gaussian return using the optimization based on the Omega measure.

This thesis investigates the relationship between the total expense ratio and the 5-year performance to last month for sustainable mutual funds registered in Sweden and the United States. The increasing amount of mutual funds and the shift towards sustainability in the society gives cause to study the relationship between the total expense ratio and the performance of sustainable mutual funds rather than conventional mutual funds. The analysis was conducted by testing the relationships through different regression models for both the Swedish and the U.S. market. A simple regression model was conducted for both markets to study the relation that the total expense ratio has to the 5-year performance to last month. To further analyse the relation between the two variables, a multiple regression model was conducted for both markets to further analyse the significant relationship between the total expense ratio and the 5-year performance to last month. The data was collected via Eikon and included mutual funds registered in Sweden and the U.S., each mutual fund collected was retrieved together with an ESG score which was the definitive factor whether the mutual fund could be considered as sustainable or not. The results gathered from the simple regression model for the Swedish market was found to have no significant relationship and the explanatory degree for the regression model was very low. The results regarding the simple regression model for the U.S. market are however found to be significant but with a low degree of explanation as well. Hence the result from this study indicates that there is no significant relationship between the total expense ratio and the 5-year performance to last month for the Swedish market when conducting a simple regression model, while the U.S. market has a low significant relationship between the variables. However, a multiple regression model for the Swedish market containing additional control variables presents a significant relationship between the total expense ratio and the 5-year performance to last month. The same results were found for the U.S. market when conducting a multiple regression model. The results for the Swedish simple regression model align with previous studies conducted within this area, where previous studies have found there to be no significant relationship between the total expense ratio and the performance of mutual funds, hence same results are applicable to sustainable mutual funds. However, this study did in fact also display significant relationships for the multiple regression model for the Swedish market as well as for both regression models for the U.S. market. Which indicates that the total expense ratio to some extents have an explanatory relationship between the total expense ratio and the 5-year performance to last month for sustainable mutual funds in both the Swedish market and the U.S. market.

This thesis evaluates the mean-variance analysis framework by comparing the performance of an optimized portfolio consisting of stocks from the Dow Jones Industrial Average to the performance of the Dow Jones Industrial Average index itself. The results show that the optimized portfolio performs better than the corresponding index when evaluated on the period between 2015 and 2019. However, the variance of the returns are high and therefore it is difficult to determine if mean-variance analysis performs better than its corresponding index in the general case. Furthermore, it is shown that individual stocks can still influence the movement of an optimized portfolio significantly, even though the model is supposed to diversify firm-specific risk. Thus, the authors recommend modifying the model by restricting the amount that is allowed to be invested in a single stock, if one wishes to apply mean-variance analysis in reality. To be able to draw further conclusions, more practical research within the subject needs to be done. / Denna uppsats utvärderar ramverket ”mean-variance analysis” genom att jämföra prestandan av en optimerad portfölj bestående av aktier från Dow Jones Industrial Average med prestandan av indexet Dow Jones Industrial Average självt. Resultaten visar att att den optimerade portföljen presterar bättre än motsvarande index när de utvärderas på perioden 2015 till 2019. Dock är variansen av avkastningen hög och det är därför svårt att bedöma om mean-variance analysis generellt sett presterar bättre än sitt motsvarande index. Vidare visas det att individuella aktier fortfarande kan påverka den optimerade portföljens rörelser, fastän modellen antas diversifiera företagsspecifik risk. På grund av detta rekommenderar författarna att modifiera modellen genom att begränsa mängden som kan investeras i en individuell aktie, om man önskar att tillämpa mean-variance analysis i verkligheten. För att kunna dra vidare slutsatser så krävs mer praktisk forskning inom området.