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Liquidity Risk and Mutual Fund Performance

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  • Xi Dong

    (Baruch College, City University of New York, New York, New York 10010)

  • Shu Feng

    (Clark University, Worcester, Massachusetts 16010)

  • Ronnie Sadka

    (Boston College, Chestnut Hill, Massachusetts 02467)

Abstract

This paper demonstrates that the ability of fund managers to create value depends on market liquidity conditions, which in turn introduces a liquidity risk exposure (beta) for skilled managers. We document an annual liquidity beta performance spread of 4% in the cross section of mutual funds over the period 1983–2014. Liquidity risk premia explain an insubstantial fraction of this spread; instead, the spread can be attributed to the differential ability of high liquidity beta funds to outperform across high and low market liquidity states, due to a differential rate of either mispricing correction or intensity of informed trading. Tests based on mispricing, proxied by a comprehensive set of 68 anomalies, and tick-by-tick trades, from a large proprietary institutional trading data set, corroborate the contribution of these channels. The results highlight the interaction between informed investors, mispricing, and liquidity beta.

Suggested Citation

  • Xi Dong & Shu Feng & Ronnie Sadka, 2019. "Liquidity Risk and Mutual Fund Performance," Management Science, INFORMS, vol. 65(3), pages 1020-1041, March.
    • Handle: RePEc:inm:ormnsc:v:65:y:2019:i:3:p:1020-1041
    DOI: 10.1287/mnsc.2017.2851
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    2. Xufeng Liu & Die Wan, 2022. "Does short‐selling affect mutual fund shareholdings? Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1887-1923, April.
    3. Peress, Joël & Dong, Xi & KANG, NAMHO, 2020. "Fast and Slow Arbitrage: Fund Flows and Mispricing in the Frequency Domain," CEPR Discussion Papers 15235, C.E.P.R. Discussion Papers.
    4. Michail Anthropelos & Tianran Geng & Thaleia Zariphopoulou, 2020. "Competition in Fund Management and Forward Relative Performance Criteria," Papers 2011.00838, arXiv.org.
    5. Paul Brockman & Dennis Y Chung & Neal M Snow, 2023. "Search-Based Peer Groups and Commonality in Liquidity," Review of Finance, European Finance Association, vol. 27(1), pages 33-77.
    6. Viktoriya Lantushenko & Edward Nelling, 2021. "Do more active funds still earn higher performance? Evidence from Active Share over time," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(4), pages 725-752, December.
    7. Larissa Batrancea, 2020. "An Econometric Approach on Performance and Financial Equilibrium during the COVID-19 Pandemic," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 801-808, December.
    8. Li, Zhiyong & Rao, Xiao, 2023. "Exploring the zoo of predictors for mutual fund performance in China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    9. Wei Zhang & Yi Li, 2023. "Liquidity risk and expected cryptocurrency returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 472-492, January.
    10. Acharya, Viral V. & Pedersen, Lasse Heje, 2019. "Economics with Market Liquidity Risk," Critical Finance Review, now publishers, vol. 8(1-2), pages 111-125, December.
    11. Ignashkina, Anna & Rinne, Kalle & Suominen, Matti, 2022. "Short-term reversals, returns to liquidity provision and the costs of immediacy," Journal of Banking & Finance, Elsevier, vol. 138(C).
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    20. Elyasiani, Elyas & Rytchkov, Oleg & Stetsyuk, Ivan, 2022. "Do real estate mutual fund managers create value?," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 396-406.

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