827 resultados para Hedge Funds, Data Biases, Attrition, Survivorship, Investment Style
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The main purpose of this paper is to propose a methodology to obtain a hedge fund tail risk measure. Our measure builds on the methodologies proposed by Almeida and Garcia (2015) and Almeida, Ardison, Garcia, and Vicente (2016), which rely in solving dual minimization problems of Cressie Read discrepancy functions in spaces of probability measures. Due to the recently documented robustness of the Hellinger estimator (Kitamura et al., 2013), we adopt within the Cressie Read family, this specific discrepancy as loss function. From this choice, we derive a minimum Hellinger risk-neutral measure that correctly prices an observed panel of hedge fund returns. The estimated risk-neutral measure is used to construct our tail risk measure by pricing synthetic out-of-the-money put options on hedge fund returns of ten specific categories. We provide a detailed description of our methodology, extract the aggregate Tail risk hedge fund factor for Brazilian funds, and as a by product, a set of individual Tail risk factors for each specific hedge fund category.
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"December 1984."
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Os hedge funds encontram-se presentes nos mercados financeiros há cerca 60 anos. Porém, recentemente, tem-se assistido a transformações consideráveis no sector, particularmente no que concerne ao segmento alvo. Inicialmente, este tipo de investimento era sobretudo dedicado a investidores particulares de vastos recursos; recentemente tem sido alvo da crescente atenção de investidores institucionais, ligados aos mais variados ramos, como entidades seguradoras, fundos de pensões, entres outros. Este trabalho tem, porém, objetivos mais amplos, os quais passam pela caraterização da indústria de hedge funds, pela identificação dos principais investidores e das estratégias de investimento prosseguidas, bem como pela avaliação do impato que aumento do nível de transparência dos retornos obtidos poderá ter ao nível do crescimento deste segmento do mercado financeiro, o qual acarretará, necessariamente, transformações ao nível dos dispositivos de regulação, Em termos metodológicos, recorreu-se, essencialmente, à sistematização de informação, a qual permitiu construir um discurso autónomo, abrangente e crítico. O trabalho permitiu evidenciar algumas conclusões, entre as quais se destacam a especificidade em matéria de estratégias de investimento conduzidas e a existência de conflitos latentes entre os gestores de hedge funds e os investidores neste instrumento financeiro.
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This paper summarizes the literature on hedge funds (HFs) developed over the last two decades, particularly that which relates to managerial characteristics (a companion piece covers the return and risk management characteristics of HFs). It classifies, the current HF literature, suggesting which critical problems have been “solved” and which problems have not been yet adequately addressed. It also discusses the effects of past financial regulation and the prospects for the effect of new financial regulation on the HF industry and its performance and risk management practices, and suggests new avenues for research. Furthermore, it highlights the importance of managerial characteristics for HF performance, and the successes and the shortfalls to date in developing more sophisticated HF-related risk management tools.
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We survey articles on hedge funds' performance persistence and fundamental factors from the mid-1990s to the present. For performance persistence, we present some pioneering studies that contradict previous findings that hedge funds' performance is a short term matter. We discuss recent innovative studies that examine the size, age, performance fees and other factors to give a 360° view of hedge funds' performance attribution. Small funds, younger funds and funds with high performance fees all outperform the opposite. Long lockup period funds tend to outperform short lockups and domiciled funds tend to outperform offshore funds. This is the first survey of recent innovative and challenging studies into hedge funds' performance attribution, and it should be particularly useful to investors trying to choose between hedge funds.
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En este trabajo se implementa una metodología para incluir momentos de orden superior en la selección de portafolios, haciendo uso de la Distribución Hiperbólica Generalizada, para posteriormente hacer un análisis comparativo frente al modelo de Markowitz.
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The rapid growth of non-listed real estate funds over the last several years has contributed towards establishing this sector as a major investment vehicle for gaining exposure to commercial real estate. Academic research has not kept up with this development, however, as there are still only a few published studies on non-listed real estate funds. This paper aims to identify the factors driving the total return over a seven-year period. Influential factors tested in our analysis include the weighted underlying direct property returns in each country and sector as well as fund size, investment style gearing and the distribution yield. Furthermore, we analyze the interaction of non-listed real estate funds with the performance of the overall economy and that of competing asset classes and found that lagged GDP growth and stock market returns as well as contemporaneous government bond rates are significant and positive predictors of annual fund performance.
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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.
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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.
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This doctoral dissertation seeks to assess and address the potential contribution of the hedge fund industry to financial instability. In so doing, the dissertation investigates three main questions. What are the contributions of hedge funds to financial instability? What is the optimal regulatory strategy to address the potential contribution of hedge funds to financial instability? And do new regulations in the U.S. and the EU address the contribution of hedge funds to financial instability? With respect to financial stability concerns, it is argued that despite their benefits, hedge funds can contribute to financial instability. Hedge funds’ size and leverage, their interconnectedness with Large Complex Financial Institutions (LCFIs), and the likelihood of herding behavior in the industry can potentially undermine financial stability. Nonetheless, the data on hedge funds’ size and leverage suggest that these features are far from being systemically important. In contrast, the empirical evidence on the interconnectedness of hedge funds with LCFIs and their herding behavior is mixed. Based on these findings, the thesis focuses on one particular aspect of hedge fund regulation: direct vs. indirect regulation. In this respect, a major contribution of the thesis to the literature consists in the explicit discussion of the relationships between hedge funds and other market participants. Specifically, the thesis locates the domain of the indirect regulation in the inter-linkages between hedge funds and prime brokers. Accordingly, the thesis argues that the indirect regulation is likely to address the contribution of hedge funds to systemic risk without compromising their benefits to financial markets. The thesis further conducts a comparative study of the regulatory responses to the potential contribution of hedge funds to financial instability through studying the EU Directive on Alternative Investment Fund Managers (AIFMD) and the hedge fund-related provisions of the Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010.
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We find evidence that conflicts of interest are pervasive in the asset management business owned by investment banks. Using data from 1990 to 2008, we compare the alphas of mutual funds, hedge funds, and institutional funds operated by investment banks and non-bank conglomerates. We find that, while no difference exists in performance by fund type, being owned by an investment bank reduces alphas by 46 basis points per year in our baseline model. Making lead loans increases alphas, but the dispersion of fees across portfolios decreases alphas. The economic loss is $4.9 billion per year.
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"Emphasises asset allocation while presenting the practical applications of investment theory. The authors concentrate on the intuition and insights that will be useful to students throughout their careers as new ideas and challenges emerge from the financial marketplace. It provides a good foundation to understand the basic types of securities and financial markets as well as how trading in those markets is conducted. The Portfolio Management section is discussed towards the end of the course and supported by a web-based portfolio simulation with a hypothetical $100,000 brokerage account to buy and sell stocks and mutual funds. Students get a chance to use real data found in the Wall Street Survivor simulation in conjunction with the chapters on investments. This site is powered by StockTrak, the leading provider of investment simulation services to the academic community. Principles of Investments includes increased attention to changes in market structure and trading technology. The theory is supported by a wide range of exercises, worksheets and problems."--publisher website Contents: Investments: background and issues -- Asset classes and financial markets -- Securities markets -- Managed funds and investment management -- Risk and return: past and prologue -- Efficient diversification -- Capital asset pricing and arbitrage pricing theory -- The efficient market hypothesis -- Bond prices and yields -- Managing bond portfolios -- Equity valuation -- Macroeconomic and industry analysis -- Financial statement analysis -- Investors and the investment process -- Hedge funds -- Portfolio performance evaluation.
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To the trained-eye, experts can often identify a team based on their unique style of play due to their movement, passing and interactions. In this paper, we present a method which can accurately determine the identity of a team from spatiotemporal player tracking data. We do this by utilizing a formation descriptor which is found by minimizing the entropy of role-specific occupancy maps. We show how our approach is significantly better at identifying different teams compared to standard measures (i.e., shots, passes etc.). We demonstrate the utility of our approach using an entire season of Prozone player tracking data from a top-tier professional soccer league.
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Las estrategias de inversión pairs trading se basan en desviaciones del precio entre pares de acciones correlacionadas y han sido ampliamente implementadas por fondos de inversión tomando posiciones largas y cortas en las acciones seleccionadas cuando surgen divergencias y obteniendo utilidad cerrando la posición al converger. Se describe un modelo de reversión a la media para analizar la dinámica que sigue el diferencial del precio entre acciones ordinarias y preferenciales de una misma empresa en el mismo mercado. La media de convergencia en el largo plazo es obtenida con un filtro de media móvil, posteriormente, los parámetros del modelo de reversión a la media se estiman mediante un filtro de Kalman bajo una formulación de estado espacio sobre las series históricas. Se realiza un backtesting a la estrategia de pairs trading algorítmico sobre el modelo propuesto indicando potenciales utilidades en mercados financieros que se observan por fuera del equilibrio. Aplicaciones de los resultados podrían mostrar oportunidades para mejorar el rendimiento de portafolios, corregir errores de valoración y sobrellevar mejor periodos de bajos retornos.