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Essays on Market Microstructure and Return Predictability of Mutual Funds

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Release : 2020
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Book Synopsis Essays on Market Microstructure and Return Predictability of Mutual Funds by : Ekaterina Serikova

Download or read book Essays on Market Microstructure and Return Predictability of Mutual Funds written by Ekaterina Serikova. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt: This thesis contains three papers. Each paper addresses a distinct research question and is implemented on a separate dataset. The first paper concludes that daytime auctions, together with market opening and closing intervals, contribute to the periodicity of the cross-section of stock returns. By applying the model of infrequent rebalancing, I show that model parameters fit the data for the after-auction intervals. I thus conclude that after-auction periods take over a large share of infrequent rebalancing and show that this effect is driven by the concentration of liquidity traders. Small, low-fragmented stocks heavily traded on the home market show the strongest evidence for infrequent rebalancing after the daytime auctions. The second paper sheds light on how traders allocate risk of stock portfolios in a trading day. Traders decrease risk before the market close. They do so by selling stocks with the highest marginal risk and buying stocks that decrease the risk of their portfolio the most. As our measure of portfolio risk relates to the one that clearing houses use for the margin requirements, we conclude that the risk-reduction behavior is driven by traders' reluctance to provide end-of-day margin contributions to the CCP. These trading flows in the direction of risk contraction distort closing stock prices. The third paper replicates and combines eight prominent predictors of mutual fund returns to obtain a composite, aggregate fund predictor. While only three of the eight individual variables are significant predictors of future fund performance in a multivariate setting, the composite predictor has strong forecasting power. A hypothetical quintilebased long-short strategy based on the composite predictor realizes a four-factor alpha of 6% per year. The performance spread is robust to different regression specifications, is similar for different size classes and investment styles, and persists over time. Our results p.

Mutual Fund Returns and Market Microstructure

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Release : 1999
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Book Synopsis Mutual Fund Returns and Market Microstructure by : Mark M. Carhart

Download or read book Mutual Fund Returns and Market Microstructure written by Mark M. Carhart. This book was released on 1999. Available in PDF, EPUB and Kindle. Book excerpt:

Essays on Return Predictability and Volatility Estimation

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Release : 2008
Genre : Investments
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Book Synopsis Essays on Return Predictability and Volatility Estimation by : Yuzhao Zhang

Download or read book Essays on Return Predictability and Volatility Estimation written by Yuzhao Zhang. This book was released on 2008. Available in PDF, EPUB and Kindle. Book excerpt:

Essays on Mutual Fund Performance and Predictability

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Release : 2022
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Book Synopsis Essays on Mutual Fund Performance and Predictability by : Yu Xia

Download or read book Essays on Mutual Fund Performance and Predictability written by Yu Xia. This book was released on 2022. Available in PDF, EPUB and Kindle. Book excerpt: "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"--

Essays on the Trading Behavior of Mutual Fund Managers

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Release : 2004
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Book Synopsis Essays on the Trading Behavior of Mutual Fund Managers by : Gjergji Cici

Download or read book Essays on the Trading Behavior of Mutual Fund Managers written by Gjergji Cici. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt:

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