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Risk Shifting and Mutual Fund Performance

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TLDR
In this article, the authors investigated the performance consequences of risk shifting, as well as the economic motivations and the mechanisms for risk shifting using a holdings-based measure of risk shifts, and found that funds that increase risk perform worse than funds that keep stable risk levels over time.
Abstract
Mutual funds change their risk levels significantly over time This paper investigates the performance consequences of risk shifting, as well as the economic motivations and the mechanisms of risk shifting Using a holdings-based measure of risk shifting, we find that funds that increase risk perform worse than funds that keep stable risk levels over time In addition, funds that expect higher benefits from risk shifting are more likely to increase risk and perform particularly poorly after increasing risk Our results are consistent with the notion that agency problems, rather than the ability to take advantage of changing investment opportunities, are the likely motivation behind risk shifting behavior

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Aktyviai ir pasyviai valdomų biržoje prekiaujamų akcijų fondų palyginimas / A comparison between actively and passively managed equity exchange traded funds

TL;DR: The major theoretical and practical problem is whether active funds can systematically exploit market inefficiencies as mentioned in this paper, which is the major theoretical problem of whether active fund can get a higher than average market returns.
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Gaming the System: The Impact of Morningstar Category Changes on Peer Rankings

TL;DR: In this paper, the authors found that actively managed mutual funds that change Morningstar category tend to improve their relative performance rankings against their peers, were average or below-average funds in their previous category and become average or under-average ones in their new category, and that they move into categories that tend to underperform their previous categories in the future.
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Speculation with Information Disclosure

TL;DR: The authors show that when a speculator cares about both short-term portfolio value and long-term profit, a disclosure mixing asset fundamentals and her holdings is optimal by inducing competitive dealership to revise prices toward those holdings while alleviating adverse selection.

Decoding Mutual Fund Performance: Dynamic Return Patterns via Deep Learning

Xuxin Guo
TL;DR: Decoding Mutual Fund Performance: Dynamic Return Patterns via Deep Learning as mentioned in this paper ) is a recent work that uses deep learning to decode mutual fund performance, which can be used to predict mutual fund return patterns.
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Mutual fund tournaments and fund Active Share

TL;DR: In this article , the authors study the impact of tournament-like competition in the mutual fund industry by examining the active share choices of funds and find that funds with relatively poor performance by the end of the third quarter in a calendar year tend to increase their active share during the last quarter.
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Journal ArticleDOI

Common risk factors in the returns on stocks and bonds

TL;DR: In this article, the authors identify five common risk factors in the returns on stocks and bonds, including three stock-market factors: an overall market factor and factors related to firm size and book-to-market equity.
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Risk, Return, and Equilibrium: Empirical Tests

TL;DR: In this article, the relationship between average return and risk for New York Stock Exchange common stocks was tested using a two-parameter portfolio model and models of market equilibrium derived from the two parameter portfolio model.
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On Persistence in Mutual Fund Performance

Mark M. Carhart
- 01 Mar 1997 - 
TL;DR: Using a sample free of survivor bias, this paper showed that common factors in stock returns and investment expenses almost completely explain persistence in equity mutual fund's mean and risk-adjusted returns.
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The performance of mutual funds in the period 1945–1964

TL;DR: Jensen's Alpha as discussed by the authors is a risk-adjusted measure of portfolio performance that estimates how much a manager's forecasting ability contributes to the fund's returns, based on the theory of the pricing of capital assets by Sharpe (1964), Lintner (1965a) and Treynor (Undated).
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Liquidity Risk and Expected Stock Returns

TL;DR: In this article, the authors investigated whether marketwide liquidity is a state variable important for asset pricing and found that expected stock returns are related cross-sectionally to the sensitivities of returns to fluctuations in aggregate liquidity.
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