scholarly journals Hedge Fund Flows and Performance Streaks: How Investors Weigh Information

Author(s):  
Guillermo Baquero ◽  
Marno Verbeek
2021 ◽  
Author(s):  
Guillermo Baquero ◽  
Marno Verbeek

Cash flows to hedge funds are highly sensitive to performance streaks, a streak being defined as subsequent quarters during which a fund performs above or below a benchmark, even after controlling for a wide range of common performance measures. At the same time, streaks have limited predictive power regarding future fund performance. This suggests investors weigh information suboptimally, and their decisions are driven too strongly by a belief in continuation of good performance, consistent with the “hot hand fallacy.” The hedge funds that investors choose to invest in do not perform significantly better than those they divest from. These findings are consistent with overreaction to certain types of information and do not support the notion that sophisticated investors have superior information or superior information processing abilities. This paper was accepted by David Simchi-Levi, finance.


2019 ◽  
Author(s):  
Linn K. Aasheim ◽  
Antonio Freitas Miguel ◽  
Sofia Brito Ramos

2018 ◽  
Vol 06 (01) ◽  
pp. 1850003
Author(s):  
SANGHEON SHIN ◽  
JAN SMOLARSKI ◽  
GÖKÇE SOYDEMIR

This paper models hedge fund exposure to risk factors and examines time-varying performance of hedge funds. From existing models such as asset-based style (ABS)-factor model, standard asset class (SAC)-factor model, and four-factor model, we extract the best six factors for each hedge fund portfolio by investment strategy. Then, we find combinations of risk factors that explain most of the variance in performance of each hedge fund portfolio based on investment strategy. The results show instability of coefficients in the performance attribution regression. Incorporating a time-varying factor exposure feature would be the best way to measure hedge fund performance. Furthermore, the optimal models with fewer factors exhibit greater explanatory power than existing models. Using rolling regressions, our customized investment strategy model shows how hedge funds are sensitive to risk factors according to market conditions.


2018 ◽  
Vol 23 (6) ◽  
pp. 1031-1068 ◽  
Author(s):  
Nickolay Gantchev ◽  
Oleg R Gredil ◽  
Chotibhak Jotikasthira

Abstract Hedge fund activism is associated with improvements in the governance and performance of targeted firms. In this article, we show that these positive effects of activism reach beyond the targets, as nontargeted peers make similar improvements under the threat of activism. Peers with higher threat perception, as measured by director connections to past targets, are more likely to increase leverage and payout, decrease capital expenditures and cash, and improve return on assets and asset turnover. As a result, their valuations improve, and their probability of being targeted declines. Our results are not explained by time-varying industry conditions or competition effects whereby improved targets force their product market rivals to become more competitive.


2019 ◽  
pp. 156-191
Author(s):  
William Lazonick ◽  
Jang-Sup Shin

This chapter uses innovation theory to provide both a general theoretical critique and a selective empirical critique of the use of agency theory to rationalize the looting of the U.S. business corporation as enhancing economic efficiency. It focuses on three empirical works, Bebchuk and Fried, Pay Without Performance (2004); Bebchuk, Brav, and Jiang, “The Long-Term Effects of Hedge-Fund Activism” (2015); and Fried and Wang, “Short-Termism and Capital Flows” (2017). The chapter contends that MSV ideology as promulgated by agency theorists has contributed to inferior corporate and economic performance. It then argues that, for analyzing the operation and performance of the economy, innovation theory should replace agency theory.


2009 ◽  
Vol 45 (1) ◽  
pp. 223-237 ◽  
Author(s):  
David Rakowski

AbstractThis paper provides a detailed analysis of the impact of daily mutual fund flow volatility on fund performance. I document a significant negative relationship between the volatility of daily fund flows and cross-sectional differences in risk-adjusted performance. This relationship is driven by domestic equity funds, as well as small funds, well-performing funds, and funds that experience inflows over the sample period. My results are consistent with performance differences arising from the transaction costs of nondiscretionary trading driven by daily fund flows, but not with performance differences arising from the suboptimal cash holdings that arise from fund flows.


2012 ◽  
Vol 02 (01) ◽  
pp. 1250003 ◽  
Author(s):  
Mila Getmansky

This paper analyzes the life cycles of hedge funds. Using the Lipper TASS database it provides category and fund specific factors that affect the survival probability of hedge funds. The findings show that in general, investors chasing individual fund performance, thus increasing fund flows, decrease probabilities of hedge funds liquidating. However, if investors chase a category of hedge funds that has performed well (favorably positioned), then the probability of hedge funds liquidating in this category increases. We interpret this finding as a result of competition among hedge funds in a category. As competition increases, marginal funds are more likely to be liquidated than funds that deliver superior risk-adjusted returns. We also find that there is a concave relationship between performance and lagged assets under management. The implication of this study is that an optimal asset size can be obtained by balancing out the effects of past returns, fund flows, competition, market impact, and favorable category positioning that are modeled in the paper. Hedge funds in capacity constrained and illiquid categories are subject to high market impact, have limited investment opportunities, and are likely to exhibit an optimal size behavior.


2021 ◽  
Vol 50 (6) ◽  
pp. 557-592
Author(s):  
Minyeon Han ◽  
Hyoung-goo Kang ◽  
Kyoung Hun Bae

We investigate why fund managers invest in lottery-like stocks and whether the behavior that holds more lottery-like stocks affects performance. First, mutual funds that hold more lottery stocks may attract more fund flows. Our results support the theory that fund managers invest more in lottery-like stocks to reflect investors' preferences for extreme payoffs. Second, the level of lottery-like characteristics of mutual funds does not predict managers’ skill and performance. Therefore, fund managers holding more lottery stocks is not a result of managers’ skills. Third, lottery-like characteristics of mutual funds do not significantly affect performance in specific reporting periods (e.g., year-end or quarter-end). Based on this result, we conclude that fund managers do not invest more in lottery stocks to advance their career.


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