The performance of open-end Brazilian fixed income mutual funds for retail clients

From a financial perspective, this dissertation analyzes the Brazilian mutual fund industry performance for an average retail client. The most representative funds for the local population, that are the fixed income open-end ones, will be selected and their performance will be measured aiming to answer if clients of this industry obtained a proper return over their investments in the period between August 2010 and August 2013. A proper return will be understood as the preservation of the purchasing power of the individual´s savings, what is achieved with a positive performance of a mutual fund after discounting taxes, administrative fees and inflation. After obtaining an answer for the previous question, this dissertation will explore a possible alternative solution: Tesouro Direto, that is an example of a financial approach that could foster the disintermediation between savings and investments through electronic channels. New electronic platforms, with a broader scope, could be utilized to increase the efficiency of funding productive investments through better remunerating Brazilian savings. Tesouro Direto may point towards a new paradigm.

On the comparative performance of socially responsible and Islamic mutual funds

This is the first study to provide comprehensive analyses of the relative performance of both socially responsible investment (SRI) and Islamic mutual funds. The analysis proceeds in two stages. In the first, the performance of the two categories of funds is measured using partial frontier methods. In the second stage, we use quantile regression techniques.By combining two variants of the Free Disposal Hull (FDH) methods (order-m and order-?) in the first stage of analysis and quantile regression in the second stage, we provide detailed analyses of the impact of different covariates across methods and across different quantiles. In spite of the differences in the screening criteria and portfolio management of both types of funds, variation in the performance is only found for some of the quantiles of the conditional distribution of mutual fund performance. We established that for the most inefficient funds the superior performance of SRI funds is significant. In contrast, for the best mutual funds this evidence vanished and even Islamic funds perform better than SRI.These results show the benefits of performing the analysis using quantile regression.

On the comparative performance of socially responsible and Islamic mutual funds

This is the first study to provide comprehensive analyses of the relative performance of both socially responsible investment (SRI) and Islamic mutual funds. The analysis proceeds in two stages. In the first, the performance of the two categories of funds is measured using partial frontier methods. In the second stage, we use quantile regression techniques. By combining two variants of the Free Disposal Hull (FDH) methods (order- m and order- α) in the first stage of analysis and quantile regression in the second stage, we provide detailed analyses of the impact of different covariates across methods and across different quantiles. In spite of the differences in the screening criteria and portfolio management of both types of funds, variation in the performance is only found for some of the quantiles of the conditional distribution of mutual fund performance. We established that for the most inefficient funds the superior performance of SRI funds is significant. In contrast, for the best mutual funds this evidence vanished and even Islamic funds perform better than SRI. These results show the benefits of performing the analysis using quantile regression. © 2013 Elsevier B.V.

Neural network DEA for measuring the efficiency of mutual funds

Efficiency in the mutual fund (MF), is one of the issues that has attracted many investors in countries with advanced financial market for many years. Due to the need for frequent study of MF's efficiency in short-term periods, investors need a method that not only has high accuracy, but also high speed. Data envelopment analysis (DEA) is proven to be one of the most widely used methods in the measurement of the efficiency and productivity of decision making units (DMUs). DEA for a large dataset with many inputs/outputs would require huge computer resources in terms of memory and CPU time. This paper uses neural network back-ropagation DEA in measurement of mutual funds efficiency and shows the requirements, in the proposed method, for computer memory and CPU time are far less than that needed by conventional DEA methods and can therefore be a useful tool in measuring the efficiency of a large set of MFs. Copyright © 2014 Inderscience Enterprises Ltd.

Bond Fund Performance During Recessions and Expansions: Empirical Evidence from a Small Market

This paper provides the first investigation about bond mutual fund performance during recession and expansion periods separately. Based on multi-factor performance evaluation models, results show that bond funds significantly underperform the market during both phases of the business cycle. Nevertheless, unlike equity funds, bond funds exhibit considerably higher alphas during good economic states than during market downturns. These results, however, seem entirely driven by the global financial crisis subperiod. In contrast, during the recession associated to the Euro sovereign debt crisis, bond funds are able to accomplish neutral performance. This improved performance throughout the debt crisis seems to be related to more conservative investment strategies, which reflect an increase in managers’ risk aversion.

Monitoring style drift : evidence from U.S. Equity funds

This thesis examines the stewardship and investment style monitoring by managers and boards of U.S. equity funds. Results indicate that complying with a fund’s declared style, especially in value-growth dimension, remains a challenge for fund managers and boards, and that style-based investors should be aware of the risk of style drift since fund managers and boards do not always monitor the fund’s investment style as stated in the prospectus. Results also show that the quality of fund stewardship, as reflected by fund board quality, corporate culture, manager compensation, regulatory history, and fees are effective in ensuring that fund managers and boards perform their fiduciary obligation by increasing monitoring of the fund investment style.

THE quest for alpha : can artificial neural networks help?

The application of artificial neural networks (ANN) in finance is relatively new area of research. We employed ANNs that used both fundamental and technical inputs to predict future prices of widely held Australian stocks and used these predicted prices for stock portfolio selection over a 10-year period (2001-2011). We found that the ANNs generally do well in predicting the direction of stock price movements. The stock portfolios selected by the ANNs with median accuracy are able to generate positive alpha over the 10-year period. More importantly, we found that a portfolio based on randomly selected network configuration had zero chance of resulting in a significantly negative alpha but a 27% chance of yielding a significantly positive alpha. This is in stark contrast to the findings of the research on mutual fund performance where active fund managers with negative alphas outnumber those with positive alphas.

Investment funds: What next?

Investment funds provide a low cost method of sharing in the rewards from capitalism. Recently “alternative investments” such as hedge funds have grown rapidly and the trading strategies open to hedge funds are now becoming available to mutual funds and even to ordinary retail investors. In this paper we analyze problems in assessing fund performance and the prospects for investment fund sectors. Choosing genuine outperformers among top funds requires a careful assessment of non-normality, order statistics and the possibility of false discoveries. The risk adjusted performance of the average hedge fund over the last 10-15 is actually not that impressive, although the “top” funds do appear to have statistically significant positive alphas.

Short-Sale Constraints and the Pricing of Managerial Skills

We investigate the impact of the absence of short selling on the pricing of managerial skills in the mutual fund industry. In the presence of divergent opinions regarding managerial skills, fund managers can strategically use fees to attract only the most optimistic capital. The recognition of this fee strategy helps explain a set of stylized observations and puzzles in the mutual fund industry, including the underperformance of active funds, the existence of flow convexity, and the negative correlation between gross-of-fee α and fees.

Pricing of exchange traded funds

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Measuring the impact of short and lending practices using the DGTW benchmarks

Mutual fund managers increasingly lend their holdings and/or use short sales to generate higher returns for their funds. This project presents a first look into the impact these practices on performance using the performance measures: i) Characteristic Selectivity (CS), the ability of the fund's managers to choose stocks that outperform their benchmarks; ii) Characteristic Timing (CT), the ability of the manager to time the market; iii) and Average Style (AS), the returns from funds systematically holding stocks with certain characteristics. These returns are computed through the DGTW benchmarks. The effect of other variables that have also been shown to impact fund’s returns – total net assets under management, investment styles, turnover and expense ratios – will also be analyzed. I find that managers who use short-sales do not exhibit better stock picking abilities than those who do not, while mutual funds that lend do present higher CS returns. In addition, while lending is not significant for the total performance of a fund, the employment of short-sales and of both short-sales and lending has a negative impact on the fund’s performance.

Dynamic Performance Evaluation of Canadian Fixed-Income Funds using Markov Regime Switching Models

This thesis examines the performance of Canadian fixed-income mutual funds in the context of an unobservable market factor that affects mutual fund returns. We use various selection and timing models augmented with univariate and multivariate regime-switching structures. These models assume a joint distribution of an unobservable latent variable and fund returns. The fund sample comprises six Canadian value-weighted portfolios with different investing objectives from 1980 to 2011. These are the Canadian fixed-income funds, the Canadian inflation protected fixed-income funds, the Canadian long-term fixed-income funds, the Canadian money market funds, the Canadian short-term fixed-income funds and the high yield fixed-income funds. We find strong evidence that more than one state variable is necessary to explain the dynamics of the returns on Canadian fixed-income funds. For instance, Canadian fixed-income funds clearly show that there are two regimes that can be identified with a turning point during the mid-eighties. This structural break corresponds to an increase in the Canadian bond index from its low values in the early 1980s to its current high values. Other fixed-income funds results show latent state variables that mimic the behaviour of the general economic activity. Generally, we report that Canadian bond fund alphas are negative. In other words, fund managers do not add value through their selection abilities. We find evidence that Canadian fixed-income fund portfolio managers are successful market timers who shift portfolio weights between risky and riskless financial assets according to expected market conditions. Conversely, Canadian inflation protected funds, Canadian long-term fixed-income funds and Canadian money market funds have no market timing ability. We conclude that these managers generally do not have positive performance by actively managing their portfolios. We also report that the Canadian fixed-income fund portfolios perform asymmetrically under different economic regimes. In particular, these portfolio managers demonstrate poorer selection skills during recessions. Finally, we demonstrate that the multivariate regime-switching model is superior to univariate models given the dynamic market conditions and the correlation between fund portfolios.

Les fonds mutuels éthiques américains : la présence de croyances organisationnelles au cœur de la performance sociale et financière.

Il y a plusieurs manières de classer les fonds mutuels éthiques. L'une d'elles est de porter l'emphase sur le genre de croyances organisationnelles que nous pouvons retrouver dans ces fonds. Il y a des fonds mutuels éthiques dans lesquels nous pouvons identifier des croyances à orientation financière qui tentent d'expliquer ou de justifier les choix faits par les gestionnaires de ces fonds. Certains autres fonds mutuels éthiques sont plutôt caractérisés par leurs croyances à orientation sociale qui justifient leurs critères sociaux. Dans certains cas, les fonds mutuels éthiques ont les deux genres de croyances. Nous avons analysé ici trois fonds mutuels éthiques (Parnassus Equity Income Fund, Calvert Social Investment Fund Portfolio", "Domini Social Equity Fund") afin de voir si les fonds mutuels éthiques ayant des croyances à orientation financière et/ou sociale auraient une meilleure performance financière que le S & P 500. Nous avons trouvé que le fonds ayant la meilleure performance financière par rapport au S & P 500 était un fonds mutuel éthique ayant des croyances à orientation financière. Les deux autres fonds ayant des croyances à orientation sociale avaient une performance financière plus basse par rapport au S & P 500.

A composição da dívida pública mobiliária federal interna e os fundos de investimento no Brasil: análise dos fatores de influência

This work intends to study the relationship between Brazilian Internal Public Debt mix and Mutual Funds. In the theoretical framework, the discussion about liquidity preference theories implies considering risk averse investors. Portfolio selection is also discussed, particularly Markowitz efficient frontier. Historical data from November of 1999 to December of 2004 of Brazilian Internal Public Debt mix and Mutual Funds portfolio are analyzed. Official goals concerning Public Debt's mix and its actual composition are presented, as well as Mutual Fund preferences as buyers of public debt securities. Time series of three securities (LFT, LTN and NTN-C) in Public Debt mix and Mutual Funds portfolio are compared and a similar behavior is identified. Relevant facts of the macroeconomic context which may have affected Public Debt or Mutual Funds are discussed. Some indications of a possible influence of Mutual Funds upon Public Debt Mix are obtained and hypothesis to be tested in future studies are proposed.

Preferências de ações de gestores de fundos mútuos estrangeiros na América Latina

Nesse trabalho são observadas as características preferencias dos gestores de fundos mútuos estrangeiros ao selecionar ações na América Latina. O objetivo foi verificar a hipótese de que esses gestores preferem companhias que possuam características que geram grande visibilidade, ou seja, que reduzam a assimetria de informação, uma das possíveis explicações para a existência do home bias. Para isso, foram observadas as posições dos fundos mútuos a partir das listas de acionistas das companhias listadas nas bolsas dos países da amostra em três períodos diferentes (junho de 2008, 2009 e 2010). A análise revela que essa classe de investidores prefere companhias que possuam atributos que ampliem seu contato com mercados internacionais, tais quais, a listagem internacional, maior cobertura de analistas e que façam parte de setores exportadores, reforçando a ideia de que a assimetria de informação reduz a capacidade de seleção de ativos por parte dos participantes de mercado e, portanto, justificando a teoria do home bias. O estudo ainda compara as preferências dos gestores estrangeiros com gestores domiciliados na América Latina e mostra evidências de que os gestores de fundos mútuos domésticos possuem maior dispersão de investimentos nas companhias listadas e, consequentemente, possuem preferências diferentes daquelas observadas para os gestores estrangeiros.