Este trabalho tem como objetivo testar quais são as características dos Conselhos de Administração de 20 bancos, com capital aberto, no Brasil, no período compreendido entre os anos de 2007 a 2013, bem como detectar a influência das mesmas sobre a Rentabilidade do Ativo (ROA), Rentabilidade do Patrimônio Líquido (ROE) e a Razão Valor de Mercado (RVM). Para alcançar esses objetivos foram levantadas características relevantes que envolvem os Conselhos de Administração (CA) dos bancos, apoiando-se nas recomendações do Comitê de Basileia sobre o que se exige da estrutura desses Conselhos como instrumento de governança. Além das instruções do Comitê, outros artigos científicos, envolvendo dados dos CA e sua provável influência sobre a rentabilidade, foram referenciados. Após o levantamento das variáveis do CA utilizou-se uma análise de regressão múltipla para avaliar se as mesmas influenciam ou não e, em que dimensão elas interferem na rentabilidade dos bancos. Os resultados foram divididos em duas partes: a primeira levou em conta a alavancagem de controle do maior acionista de cada banco no período estudado e, a segunda considerou como uma das variáveis independentes a alavancagem de controle dos três maiores acionistas, entre os anos de 2007 a 2013. Através do resultado estatístico de uma análise quantitativa constatou-se que as características do CA influenciam, em intensidades diferentes, o ROA, ROE e o RVM. Quanto ao ROE e ao ROA, os menores níveis de Governança Corporativa (GC) demonstraram influências negativas para os dois tipos de controle, enquanto que o maior nível, o 3, mostrou influenciar positivamente o resultado. O número de componentes do CA refletiu, positivamente, sobre a rentabilidade. Porém, um aumento ocasionaria um decréscimo na mesma. As variáveis de controle influenciaram em pelo menos uma das variáveis dependentes. O estudo estatístico apresentou um importante resultado sobre a GC em bancos brasileiros. Esse aspecto pode servir de suporte ao investidor em sua tomada de decisão, pois evidencia que as variáveis abordadas devem ser consideradas quando forem verificados os retornos. / This study aims to test some characteristics of the Board of Directors of 20 publicly traded banks in Brazil in the period of 2007 to 2013, to determine whether these influence the Return on Assets (ROA), Return on Equity (ROE) and market value ratio (MVR).To achieve these goals, some relevant features that involve the Board of Directors (BoD) of banks were prospected, based on recommendations of the Basel Committee about the demands on the structure of these councils as instruments of governance. Scientific articles involving characteristics of the BoD and the possible influence on profitability were also considered. Once the BoD variables are set up, a multiple regression analysis was applied to assess whether, and how, the characteristics of the BoD influence the profitability of banks. The tests were divided into two parts: the first considering the leverage control of the largest shareholder of each bank, in every year; and the second had as one of the independent variables to leverage control of the three largest shareholders in the same period. Through the statistical results of a quantitative analysis, it was observed that the characteristics of the BoD influence, at different intensities, ROA, ROE and MV. In consideration of ROE and ROA, lower levels of Corporate Governance (CG) showed negative influences for both types of control, while the higher level, 3, resulted positive influence in the result. The number of members of the CA correlated positively with profitability. The control variables influenced on at least one of the dependent variables. Through this study, a significant statistical result is presented about GC in Brazilian banks. This may support the investor in his decision-making, highlighting that these variables must be considered when returns are checked.

This diploma thesis focuses on the design of three portfolio variants for a fund of qualified investors operating in the Czech Republic, which focuses on investing in shares of Exchange Traded Funds investing in precious metals.

Purpose – Leveraged exchange traded funds (ETFs) have become increasingly popular since their introduction in 2006. In recent years, options on leveraged ETFs have been promoted as a means of enhancing returns and reducing risk. The purpose of this paper is to examine the interchangeability of S&P 500 ETF options with leveraged S&P 500 ETF options and to what extent these options allow investors to manage their risk exposure. Design/methodology/approach – With increasing liquidity for these fund’s options, simple option strategies such as covered calls and protective puts can be implemented. This study derives call-call and put-put parity between options on the underlying index and the associated leveraged ETFs. The paper examines comparative measures of return and risk on the underlying indices, along with covered call and protective put positions. Findings – Using the formulations derived, this study shows options on non-leveraged ETFs or on the underlying index can be substituted for leveraged ETF options. Empirical results suggest substituting options on leveraged ETFs with options on the underlying index or index ETF give comparable results, but can differ as the realized leverage ratio over time differs from projected values. Originality/value – This study is the first to the authors’ knowledge that investigates option strategies on leveraged and inverse ETFs of equity indices. It is also the first to derive call-call and put-put parity relations between options on ETFs and related leveraged and inverse ETFs. The results contribute to securities issuance, investment strategies, and option parity relations.

We estimate the proportions of skilled, unskilled, and zero-alpha funds preva- lent in the mutual Funds population easily accessible by Czech Investors. We estimate alphas from a regression against a concise set of Exchange Traded Funds and control for luck using False Discovery rate. We design a straight- forward ETF selection algorithm and find that if investors adhere to simple diversification rules, they can outperform a large proportion of mutual funds. We further document a negative relationship between the performance of mu- tual funds and its Total Expense ratio, suggesting that portfolio managers are on average unable to compensate their costs with better performance. JEL Classification C12, C20, G12, G23 Keywords Mutual Funds, Exchange Traded Funds, Perfor- mance evaluation Title Do mutual funds offered in Czech Republic add value to investors?

As the global markets are becoming increasingly competitive, companies need to find a way to maintain their relevance and competitiveness. Studies have found that companies engaging in Mergers and Acquisitions are more likely to remain competitive. (Choi & Chang, 2020) However, current literature focuses a lot more on other factors that motivate companies to engage in Mergers and Acquisitions, such as Synergy benefits, Increasing market shares, and expansions. Studies have found that there have been several historic waves of M&A activity. This thesis aims to expand further the understanding of how big European companies invest in new companies. What are the longitudinal patterns amongst the different acquisitions? What kinds of companies do they acquire and where the target companies are located? With the help of publications and annual reports provided by the five analyzed companies, the study found that there are some clear trends of what kinds of companies the acquiring firms are investing in. The regions are mostly the bigger markets and not the markets with the highest growth potential.(Radulescu et al., 2014)With this information, I conclude that the bigger companies are buying target companies in markets that they know and are familiar with. Companies are investing in companies that have a leading position in a desired market and invests into market shares and increasing their own product offering.

<p>This dissertation comprises two essays on over-the-counter (OTC) markets, covering both the primary and secondary markets for municipal bonds.</p> <p>In the first chapter, I explore a novel channel through which exchange-traded funds (ETFs) improve pre-trade price transparency and thereby retail investors' bargaining power in OTC markets. ETFs are required to daily disclose their full holdings, often along with their constituents’ end-of-day prices, which are good timely references for investors to negotiate with broker-dealers, particularly when the securities have not traded recently. I find that ETF-held bonds have significantly lower retail markups than those of bonds not held by ETFs. This effect cannot be explained by selection or ETFs' own trading activity but is driven by the daily disclosures by ETFs holding the bonds. During 2010--2021, retail investors saved over $200 million when trading ETF-held bonds. There is also a spillover effect to the primary market---when municipalities have outstanding ETF-held bonds, their new issues have lower yields and smaller price dispersion.</p> <p>In the second chapter, I both theoretically and empirically document a non-monotonic relation between local municipal bond mutual funds, or informed investors, and underpricing in the municipal bond market. Empirically speaking, offering yields are higher in states that have open-end municipal bond funds, and with larger aggregate fund size. However, holding local fund size constant, yields decrease in the number of funds. Such relations hold when local funds' primary market participation is instrumented with the similarities in characteristics of new issues and existing bonds in their portfolios. I further confirm my empirical findings with a security underpricing model that incorporates the imperfect signals available to informed investors. Despite facing higher borrowing costs, issuers benefit from local funds' certification resulting in both institutional and retail investors' higher demand in the primary market.</p>

Tracking ability of leveraged and inverse exchange traded funds can be very important to investors looking for a dependable return. If the investor wants to put their money on a certain index they feel strongly about, they expect their investment vehicle to track that return appropriately. Over the years, we have seen tremendous growth in the exchange traded fund industry. In 2006, leveraged and inverse funds were introduced to the market, allowing investors to take leveraged and directional trades on indices. These investment vehicles can be traded as easily as any stock, and therefore need some attention. Since any novice investor can access and trade these funds, they need to be aware of the risks they are taking. In this study, I test whether the ProShares S&P tracking leveraged and inverse exchange traded funds track their appropriate index multiple as promised. I did this by running regressions on each fund against the appropriate multiple of their underlying indices. I did this for funds of different market capitalization, for different holding periods, and with different amounts of leverage, to compare how these funds track in different conditions. I found that the large cap funds tend to track the best, with the small cap funds tracking the worst. I also find that tracking error tends to increase with longer holding periods. I find that the distribution of excess returns becomes less normal over longer holding periods, and begins to flatten out and widen. There does not seem to be a concrete conclusion as to whether or not the amount of leverage affects the tracking ability of the funds. I end up with mixed results when comparing amounts of leverage by model fit and by tracking error. Direction also does not seem to play any role in the tracking ability of these funds.

Since Bitcoin’s inception in 2008, the spotlight has increasingly been towards its underlying blockchain technology (Campbell, 2016, Yermack, 2017, Cong and He, 2019, Chiu and Koeppl, 2019, Gan, Tsoukalas, and Netessine, 2021). The introduction of smart contracts in 2015 marked a pivotal shift, transforming blockchain from a mere payment infrastructure into a cornerstone for decentralized finance (DeFi) services, a domain where decentralized exchanges (DEXs) play a critical role. The book "DeFi and the Future of Finance" by Harvey, Ramachandran, and Santoro, 2021 presents a vision of a financial system dominated by DeFi, arguing that its decentralized nature could lead to more efficient, cost-effective financial systems than traditional centralized systems. However, transitioning from potential to reality necessitates a critical examination of the underlying market structures, particularly as they pertain to trading on DEXs. By focusing on the market microstructure of DEXs, the research presented in my thesis seeks to uncover existing inefficiencies, understand their origins, and propose solutions for more effective market designs. Chapter 1 sets the stage by exploring the background and foundational principles of blockchainand DEXs, preparing the reader for a deeper dive into their complexities. Chapter 2 highlights the challenges of the current DEX infrastructure, such as exposure to arbitrage losses for liquidity providers, and evaluates the effectiveness of design changes. Empirical evidence from the Silicon Valley Bank collapse illustrates the impact of arbitrageurs on liquidity provision. In Chapter 3, the focus shifts to the mechanics of price discovery in blockchain-based trading platforms. The study delves into how DEXs’ unique infrastructure, such as gas fee bidding and priority sequencing rules, impacts trading strategies and information dissemination. We delve into the trading strategies of informed traders within DEXs, revealing a preference for high-fee bids to signal information, employing a "jump bidding" strategy to limit competition. Finally, Chapter 4 challenges the current information settings of public blockchains, highlighting their inadequacies for trading due to issues like information leakage, frontrunning, and inefficient blockspace allocation. It evaluates the introduction of private transaction pools as a remedy to these challenges, examining their effects on allocative efficiency and overall welfare. It suggests that private transaction submission pools could enhance welfare and mitigate frontrunning risk, without eliminating it. In summary, this thesis aims to bridge the gap between the theoretical promise of DeFi and the practical challenges it faces. By investigating the market microstructure of DEXs, it provides insights into the design of more robust, efficient, and equitable financial systems operating over blockchain technologies.

Since Bitcoin’s inception in 2008, the spotlight has increasingly been towards its underlying blockchain technology (Campbell, 2016, Yermack, 2017, Cong and He, 2019, Chiu and Koeppl, 2019, Gan, Tsoukalas, and Netessine, 2021). The introduction of smart contracts in 2015 marked a pivotal shift, transforming blockchain from a mere payment infrastructure into a cornerstone for decentralized finance (DeFi) services, a domain where decentralized exchanges (DEXs) play a critical role. The book "DeFi and the Future of Finance" by Harvey, Ramachandran, and Santoro, 2021 presents a vision of a financial system dominated by DeFi, arguing that its decentralized nature could lead to more efficient, cost-effective financial systems than traditional centralized systems. However, transitioning from potential to reality necessitates a critical examination of the underlying market structures, particularly as they pertain to trading on DEXs. By focusing on the market microstructure of DEXs, the research presented in my thesis seeks to uncover existing inefficiencies, understand their origins, and propose solutions for more effective market designs. Chapter 1 sets the stage by exploring the background and foundational principles of blockchainand DEXs, preparing the reader for a deeper dive into their complexities. Chapter 2 highlights the challenges of the current DEX infrastructure, such as exposure to arbitrage losses for liquidity providers, and evaluates the effectiveness of design changes. Empirical evidence from the Silicon Valley Bank collapse illustrates the impact of arbitrageurs on liquidity provision. In Chapter 3, the focus shifts to the mechanics of price discovery in blockchain-based trading platforms. The study delves into how DEXs’ unique infrastructure, such as gas fee bidding and priority sequencing rules, impacts trading strategies and information dissemination. We delve into the trading strategies of informed traders within DEXs, revealing a preference for high-fee bids to signal information, employing a "jump bidding" strategy to limit competition. Finally, Chapter 4 challenges the current information settings of public blockchains, highlighting their inadequacies for trading due to issues like information leakage, frontrunning, and inefficient blockspace allocation. It evaluates the introduction of private transaction pools as a remedy to these challenges, examining their effects on allocative efficiency and overall welfare. It suggests that private transaction submission pools could enhance welfare and mitigate frontrunning risk, without eliminating it. In summary, this thesis aims to bridge the gap between the theoretical promise of DeFi and the practical challenges it faces. By investigating the market microstructure of DEXs, it provides insights into the design of more robust, efficient, and equitable financial systems operating over blockchain technologies.

Exchange Traded Funds are growing in popularity and volume, however academic literature related to their performance is limited. This study analyzes how well the CORN, WEAT, SOYB, USO, and UGA commodity ETFs track their respective futures assets during the period of January 2012 to October 2017. Tracking error in this study is evaluated through 4 approaches to measure error, bias, systematic risk, and error magnitude. Additionally, a mispricing analysis is conducted as an alternative form of error measurement Results indicate that tracking error is small on average, however CORN shows average excess returns significantly smaller than zero. The CORN ETF is returning a smaller positive value compared to the asset basket when asset basket returns are greater than zero and a larger negative value compared to the asset basket when asset basket returns are less than zero. The CORN, WEAT, USO, and UGA ETFs are found to move less aggressively than the respective asset baskets they track. While errors were small on average, large tracking errors were present across ETFs. The size of errors were found to be impacted by large price moves, as well as seasonality on a monthly and yearly level. USDA reports impacted the size of errors for CORN, WEAT and SOYB while EIA reports had no impact on error size. The mispricing analysis concluded that CORN and SOYB trade at a discount to Net Asset Value on average while WEAT trades at a premium. / Master of Science / Exchange Traded Funds are growing in popularity and volume, however academic literature related to their performance is limited. This study analyzes how well the CORN, WEAT, SOYB, USO, and UGA commodity ETFs track their respective futures assets during the period of January 2012 to October 2017. Tracking error in this study is evaluated through 4 approaches to measure error, bias, systematic risk, and error magnitude. Additionally, a mispricing analysis is conducted as an alternative form of error measurement. Results indicate that tracking error is small on average, however CORN shows average excess returns significantly smaller than zero. The CORN ETF is returning a smaller positive value compared to the asset basket when asset basket returns are greater than zero and a larger negative value compared to the asset basket when asset basket returns are less than zero. The CORN, WEAT, USO, and UGA ETFs are found to move less aggressively than the respective asset baskets they track. While errors were small on average, large tracking errors were present across ETFs. The size of errors were found to be impacted by large price moves, as well as seasonality on a monthly and yearly level. USDA reports impacted the size of errors for CORN, WEAT and SOYB while EIA reports had no impact on error size. The mispricing analysis concluded that CORN and SOYB trade at a discount to Net Asset Value on average while WEAT trades at a premium.