Three Essays on the Performance Evaluation of Actively Managed Investment Funds

Three Essays on the Performance Evaluation of Actively Managed Investment Funds
Author: Qing Yan
Publisher:
Total Pages: 240
Release: 2021
Genre:
ISBN:

This dissertation investigates the performance of hedge funds and actively managed U.S. equity mutual funds. The first chapter examines the relation between hedge funds and the low beta anomaly. Different conditions in the mutual fund and hedge fund industries should lead to different approaches with respect to the low beta anomaly. I find that, unlike most mutual funds, the average hedge fund tends to benefit considerably from the anomaly. About 2.3% per year of apparent alpha for the average hedge fund can be attributed to the low beta anomaly rather than manager skill. Low skill managers are the most reliant on the anomaly to generate returns, with the most reliant underperforming the least reliant by 5.9% per year. The second chapter uses machine learning to dynamically identify and optimally combine the predictors of hedge fund performance. The portfolio formed based on the machine learning models has an out-of-sample alpha of 7.8% per year. The importance of each predictor varies over time, but among the 22 predictors I consider, the consistently important predictors are average return, maximum return, alpha, systematic risk, and beta activity. Machine learning provides valuable, unique information about future hedge fund performance that is not captured by individual predictors. The third chapter studies whether the quality of fund risk management can predict fund performance. I find that the risk management skills of mutual fund managers-as quantified by their funds' maximum drawdowns-are persistent and predictive of subsequent risk-adjusted performance. Funds with relatively strong past performance and relatively low past maximum drawdowns have, on average, an out-of-sample alpha of 2.68% per year. That alpha is magnified when markets are turbulent-a time during which risk management skills should be most valuable. Investors are averse to drawdown risk. After controlling for typical measures of past performance, fund flows are still a decreasing function of maximum drawdowns, particularly among investors with greater risk aversion and during times of generally heightened risk aversion.

Essay One

Essay One
Author: Hsiu-Lang Chen
Publisher:
Total Pages: 232
Release: 1997
Genre:
ISBN:

The Behavior of Institutional Investors

The Behavior of Institutional Investors
Author: Alexander Pütz
Publisher:
Total Pages: 0
Release: 2012
Genre: Index mutual funds
ISBN: 9783832531898

Institutional investors such as mutual funds and hedge funds play an important role in today's financial markets. This thesis consists of three essays which empirically study the behavior of active fund managers. In particular, the first essay investigates whether managers behave rationally or if some of them unconsciously make wrong investment decisions due to behavioral biases. The second essay examines whether some managers intentionally act to solely advance their own interests by strategically valuing the security positions in their portfolio. The third essay analyzes what the managers' education reveals about their investment behavior.

Three Perspectives of Mutual Fund Performance

Three Perspectives of Mutual Fund Performance
Author: Steve A. Nenninger
Publisher:
Total Pages: 88
Release: 2009
Genre:
ISBN:

This dissertation examines mutual fund performance from the points of view of three distinct, but interrelated parties: individual investors, financial advisors, and the boards of directors of mutual fund companies. In the first essay, the flow-performance sensitivity of no-load funds and the three main classes of load fund shares are compared, assuming investment advisors are more likely to guide the decision-making process of load fund investors. In the second essay, the timing of the decision to replace fund managers is examined. In the third essay, performance of actively managed mutual funds are separately examined during good and bad states of the market to test whether mutual funds perform differently under different market conditions.

Essays on Mutual Fund Performance and Predictability

Essays on Mutual Fund Performance and Predictability
Author: Yu Xia
Publisher:
Total Pages: 0
Release: 2022
Genre:
ISBN:

"This thesis consists of two essays on evaluating mutual fund performance and its predictability. In the first essay, I study the ex ante predictability of 12 well-known predictors for fund performance from investors' perspective. The 12 predictors cover three major categories: fund characteristics, fund performance, and holding-based activeness measures, which are constructed using real-time information. For performance evaluation, I exploit two types of fund picking strategies with either rule-based approach or machine learning methods and find that utilizing machine learning can deliver superior real-time economic gains for investors with fund short-term performance being the primary driver underlying predictability. Specifically, using variable selection methods such as LASSO and elastic net at individual predictor level can generate annual 1.3%-1.7% real-time alphas after adjusting for standard risk factors. The essay further examines whether real-world investors react to those well-known predictors when evaluating mutual fund performance. Using a novel approach to decomposing fund returns, I find that conditional on investors' usage of CAPM, investors react to the components of CAPM alpha implied by predictors in different ways, and investor reaction to predictive information embedded in predictors is stronger within aggressive growth funds. These results provide empirical support for Gârleanu and Pedersen (2018) and suggest ex ante predictability exists not due to lack of investor reaction but as the compensation for employing costly algorithms to identify skilled managers.The second essay examines how decision-making hierarchy in team-managed U.S. equity mutual funds affects their performance and risk-taking behavior. Employing a unique hand-collected dataset, we find that vertically-managed funds with lead managers earn 75 bps per year lower Fama-French five-factor alpha than their horizontally-managed counterparts. Moreover, vertically-managed funds hold less concentrated portfolios and are exposed to lower residual risk, thus showing signs of inferior security selection ability. Using mutual fund industry as a laboratory, the second essay provides evidence supporting a horizontal decision-making structure in organizations functioning in an uncertain expectation environment. These results echo similar mechanisms as in recent cross-country studies on the benefits of democratic form of government for country's economic growth"--

Investment Performance Measurement

Investment Performance Measurement
Author: Philip Lawton, CIPM
Publisher: John Wiley & Sons
Total Pages: 984
Release: 2009-05-18
Genre: Business & Economics
ISBN: 0470473711

Investment Performance Measurement Over the past two decades, the importance of measuring, presenting, and evaluating investment performance results has dramatically increased. With the growth of capital market data services, the development of quantitative analytical techniques, and the widespread acceptance of Global Investment Performance Standards (GIPS®), this discipline has emerged as a central component of effective asset management and, thanks in part to the Certificate in Investment Performance Measurement (CIPM) program, has become a recognized area of specialization for investment professionals. That's why Investment Performance Measurement: Evaluating and Presenting Results the second essential title in the CFA Institute Investment Perspectives series has been created. CFA Institute has a long tradition of publishing content from industry thought leaders, and now this new collection offers unparalleled guidance to those working in the rapidly evolving field of investment management. Drawing from the Research Foundation of CFA Institute, the Financial Analysts Journal, CFA Institute Conference Proceedings Quarterly, CFA Magazine, and the CIPM curriculum, this reliable resource taps into the vast store of knowledge of some of today's most prominent thought leaders from industry professionals to respected academics who have focused on investment performance evaluation for a majority of their careers. Divided into five comprehensive parts, this timely volume opens with an extensive overview of performance measurement, attribution, and appraisal. Here, you'll become familiar with everything from the algebra of time-weighted and money-weighted rates of return to the objectives and techniques of performance appraisal. After this informative introduction, Investment Performance Measurement moves on to: Provide a solid understanding of the theoretical grounds for benchmarking and the trade-offs encountered during practice in Part II: Performance Measurement Describe the different aspects of attribution analysis as well as the determinants of portfolio performance in Part III: Performance Attribution Address everything from hedge fund risks and returns to fund management changes and equity style shifts in Part IV: Performance Appraisal Recount the history and explain the provisions of the GIPS standards with attention paid to the many practical issues that arise in the course of its implementation in Part V: Global Investment Performance Standards Filled with invaluable insights from more than fifty experienced contributors, this practical guide will enhance your understanding of investment performance measurement and put you in a better position to present and evaluate results in the most effective way possible.

Portfolio Performance Evaluation

Portfolio Performance Evaluation
Author: George O. Aragon
Publisher: Now Publishers Inc
Total Pages: 123
Release: 2008
Genre: Financial risk management
ISBN: 1601980825

This paper provides a review of the methods for measuring portfolio performance and the evidence on the performance of professionally managed investment portfolios. Traditional performance measures, strongly influenced by the Capital Asset Pricing Model of Sharpe (1964), were developed prior to 1990. We discuss some of the properties and important problems associated with these measures. We then review the more recent Conditional Performance Evaluation techniques, designed to allow for expected returns and risks that may vary over time, and thus addressing one major shortcoming of the traditional measures. We also discuss weight-based performance measures and the stochastic discount factor approach. We review the evidence that these newer measures have produced on selectivity and market timing ability for professional managed investment funds. The evidence includes equity style mutual funds, pension funds, asset allocation style funds, fixed income funds and hedge funds.

Three Essays on the Performance of Investment Management Companies

Three Essays on the Performance of Investment Management Companies
Author: Srinidhi Kanuri
Publisher:
Total Pages: 99
Release: 2015
Genre: Electronic dissertations
ISBN:

In the first essay, we evaluate the performance of commodity mutual funds. The use of commodities to hedge inflation risk and diversify portfolios is generally considered to be an important consideration for portfolio management. Direct investment in commodities or commodity derivatives requires that investors have significant assets and/or expertise in these commodities or their respective derivatives markets. As an alternative to direct investment, investors in recent years have increasingly resorted to the use of commodity based mutual funds. At issue is the question of whether or not these funds are delivering the benefits investors expect. In this paper we evaluate the performance, persistence, market timing and selectivity of four categories of mutual funds whose returns are based on commodity prices over the time period from each fund's inception through December, 2012. Our results indicate that these funds have not been able to create positive alphas for their investors; have negative or insignificant performance persistence; and have no market timing ability. Some of the categories of funds, however do exhibit some selectivity. We did find that when these commodity based funds' performance was evaluated during specific time periods of market downturns (e.g., the 2000 stock market downturn and the 2007 financial crisis), their performance was significantly positive which indicates that these funds provide a good hedge during bear markets/financial crises. The second essay evaluates the performance and diversification benefits of international ETFs for U.S. investors during and after the recent financial crisis. Our results show that U.S. ETFs outperform all categories of international ETFs for the period of our study (January 2008 - June 2013); they have higher average monthly returns, lower risk (standard deviation of returns), higher risk-adjusted performance (Sharpe, Sortino, and Treynor ratios) and the highest cumulative returns over the entire period. When we form equally weighted portfolios of each ETF category and compute their risk-adjusted performance, we again find that U.S. ETF portfolios had the best performance for the entire period. We also find that U.S. ETFs have the lowest tracking error during the entire period. Most of these ETFs passively track the benchmark and do not manage for positive alpha. Previous research has questioned the diversification benefits of international investing during times of financial distress. We find that international ETFs are highly dependent on major U.S. indices, therefore, they offer limited diversification benefits for U.S. investors. "In business, I look for economic castles protected by unbreachable 'moats'." Warren Buffett The third essay evaluates the performance of Wide Moat stocks. Companies that have sustainable competitive advantages should be able to create a barrier (moat) to prevent or lessen competition from other firms. The wider the moat the greater the barrier and the more secure the company's profitability. Using the Morningstar classification of "Wide Moat" stocks, we construct annually rebalanced equal- and value-weighted portfolios to analyze their performance in order to determine if they deliver superior performance relative to standard benchmark portfolios. The period for our analysis extends from June 2002 through May 2014. We find that the "Wide Moat" portfolios outperform both the S & P 500 and Russell 3000 indices generating higher average monthly and annualized returns, Sharpe Ratio, Sortino Ratio, Treynor Ratio, Omega Ratio, Upside Potential Ratio, M2, M2 Alpha and cumulative returns. When we compute alpha using Carhart four-factor and Fama-French five-factor models, we find that "Wide Moat" portfolios had significantly positive risk-adjusted alphas with both the models. "Wide Moat" portfolios also lost less value during the 2007-2009 financial crisis compared to both S & P 500 and Russell 3000. In conclusion, we find that "Wide Moat" stocks have created significant value for their investors over the course of our study.