Author: Erik Kole
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
We propose a new approach for estimating mutual fund performance that simultaneously controls for both factor exposure and firm characteristics. This double-adjusted alpha is motivated by the recent findings that traditional Fama-French style factor models do not fully adjust returns for the anomalies related to the factors. We formulate a hierarchical Bayesian model which separates the part of the traditional alpha that can be related to firm and asset characteristics from the true alpha. Our Bayesian approach is straightforward, has theoretical advantages over the traditional two-pass estimation and leads to higher precision. Our double-adjusted alphas produce a different ranking of mutual funds than the traditional alphas. We show that as a consequence, the double-adjusted alphas lead to stronger evidence of persistence of mutual fund performance. On the other hand, we find that the link between selectivity and alpha is driven by the effect of characteristics. Finally, we show that fund flows are mostly driven by the true skill part of the return and hardly by the effect of characteristics. We conclude that good measurement of the true outperformance of mutual funds is crucial for understanding skill.
Author: Dunhong Jin
Publisher: International Monetary Fund
ISBN: 1513519492
Category : Business & Economics
Languages : en
Pages : 46
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Book Description
How to prevent runs on open-end mutual funds? In recent years, markets have observed an innovation that changed the way open-end funds are priced. Alternative pricing rules (known as swing pricing) adjust funds’ net asset values to pass on funds’ trading costs to transacting shareholders. Using unique data on investor transactions in U.K. corporate bond funds, we show that swing pricing eliminates the first-mover advantage arising from the traditional pricing rule and significantly reduces redemptions during stress periods. The positive impact of alternative pricing rules on fund flows reverses in calm periods when costs associated with higher tracking error dominate the pricing effect.
Author: Keith Cuthbertson
Publisher: John Wiley & Sons
ISBN: 1119595592
Category : Business & Economics
Languages : en
Pages : 116
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Book Description
Three experts provide an authoritative guide to the theory and practice of derivatives Derivatives: Theory and Practice and its companion website explore the practical uses of derivatives and offer a guide to the key results on pricing, hedging and speculation using derivative securities. The book links the theoretical and practical aspects of derivatives in one volume whilst keeping mathematics and statistics to a minimum. Throughout the book, the authors put the focus on explanations and applications. Designed as an engaging resource, the book contains commentaries that make serious points in a lighthearted manner. The authors examine the real world of derivatives finance and include discussions on a wide range of topics such as the use of derivatives by hedge funds and the application of strip and stack hedges by corporates, while providing an analysis of how risky the stock market can be for long-term investors, and more. To enhance learning, each chapter contains learning objectives, worked examples, details of relevant finance blogs technical appendices and exercises.
Author: Sundar Sankaran
Publisher: Vision Books
ISBN: 9386268213
Category : Business & Economics
Languages : en
Pages : 272
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Book Description
Author: Yunus Cagdas
Publisher: GRIN Verlag
ISBN: 3346582310
Category : Business & Economics
Languages : en
Pages : 28
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Book Description
Academic Paper from the year 2021 in the subject Business economics - Investment and Finance, grade: 2,0, University of Hohenheim (Institut für Financial Management), language: English, abstract: The aim of this study is to identify differences in investment behavior - and in particular the special case of a team's decision-making process - as well as possible performance indicators. The research results to be presented should be used as guidance in selecting an appropriate management structure for the mutual fund industry. Before addressing the differing investment behaviors of the two management structures, the special dynamics that can operate within a team in decision making have to be examined. For this said purpose, the relevant literature provides some conflicting theories on decision making. When looking at the proportion of team-managed and single-managed mutual funds, it is observed that team funds have increased at the cost of single-managed funds. Thus, from 1992 to 2015, within all mutual funds, team-managed funds increased from 12% to 57%, while single-managed funds decreased from 88% to 43%. A similar development can be seen in the change of the management structure of a fund in Figure 1: A total of 553 mutual funds, which were previously managed individually, switched to a team fund, whereas only 317 funds changed from a team-managed fund to an single-managed fund. A crossover in the proportion of teams after the global financial crisis in 2008, in times when risk reduction by diversification began to gain in importance, is clearly observable. Thus, it should be in the interest of mutual funds to possess sufficient management diversity to reach an adequate niveau of diversification. As argued by Tom Stevenson, the investment director of Fidelity International, besides gender diversity, diversity in cognition, education and mindset represent a great strength. Research on the mutual fund industry indicates some differences in the investment behavior between team-managed and single-managed mutual funds. Especially concerning teams, different theories of decision making can be found, resulting in different investment styles and performance levels.
Author: Diane Del Guercio
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Financial economists have long been puzzled by investor demand for actively managed funds that generate, on average, negative after-fee, risk-adjusted returns. To shed new light on this puzzle, we exploit the fact that funds in different market segments compete for different types of retail investors. Within the segment of funds marketed directly to retail investors, we find that flows chase risk-adjusted returns, and that funds respond by investing more in active management. Importantly, within this direct-sold segment, we find little evidence that actively managed funds underperform index funds. In contrast, within the segment of funds sold through brokers, which we demonstrate face a weaker incentive to generate alpha, we find that actively managed funds significantly underperform index funds. We conclude that the well-known underperformance of the average actively managed fund in the full sample is driven by the large fraction of funds with weak incentives to identify and motivate skilled managers.
Author: Zhuo Tan
Publisher:
ISBN:
Category : Finance
Languages : en
Pages :
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Book Description
This dissertation consists of two essays that address issues related to the cross-section of stock returns. The first essay documents that actively managed mutual funds invest disproportionately in stocks with high historical risk-adjusted returns (alpha). This alpha-chasing behavior has a destabilizing effect on stock price. Specifically, low-alpha stocks earn higher subsequent returns than high-alpha stocks up to two months following portfolio formation—i.e. alpha is not persistent, but reverses. Consistent with liquidity-based price pressure, I find that low- (high)-alpha stocks that are heavily traded by mutual funds exhibit strong subsequent return reversals. Further analysis finds that trades from a few large funds are the primary source of this trading. However, there is no evidence to support the view that herding by fund managers explains fund managers’ preference for high-alpha stocks. The reason why managers of large mutual funds chase high-alpha stocks when alpha is not persistent remains a puzzle. The second essay shows that a better measure of mispricing confirms the primary prediction of the limits-of-arbitrage hypothesis that high levels of idiosyncratic risk prevent arbitrage activity. Rather than using returns to size, B/M and momentum portfolios, I construct a mispricing measure based on the difference between a stock’s price and its intrinsic value estimated using the residual income model of Ohlson (1995). I confirm that this measure explains future returns. I then use it and idiosyncratic return volatility to proxy for mispricing and arbitrage risk, respectively. I find that expected returns to undervalued (overvalued) stocks monotonically increase (decrease) with idiosyncratic risk. These findings support the limits-of-arbitrage hypothesis and that idiosyncratic risk is an impediment to arbitrage.
Author: Philip Lawton, CIPM
Publisher: John Wiley & Sons
ISBN: 0470473711
Category : Business & Economics
Languages : en
Pages : 984
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Book Description
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.
Author: Roy Henriksson
Publisher:
ISBN: 9781021216878
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
Author: Yee Cheng Loon
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages :
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Book Description
Model uncertainty exists in the mutual fund literature. Researchers employ a variety of models to estimate risk-adjusted return, suggesting a lack of consensus as to which model is correct. Model uncertainty makes it difficult to draw clear inference about mutual fund performance persistence. We explicitly account for model uncertainty by using Bayesian model averaging techniques to estimate a fund's risk-adjusted return. Our approach produces the Bayesian model averaged (BMA) alpha, which is a weighted combination of alphas from individual models. Using BMA alphas, we find evidence of performance persistence in a large sample of US equity, bond and balanced mutual funds. Funds with high BMA alphas subsequently generate higher risk-adjusted returns than funds with low BMA alphas, and the magnitude of out performance is economically and statistically significant. We also find that mutual fund investors respond to the information content of BMA alphas. High BMA alpha funds receive subsequent cash inflows while low BMA alpha funds experience subsequent cash outflows.
