IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/2019-55.html
   My bibliography  Save this paper

Measuring the Liquidity Profile of Mutual Funds

Author

Abstract

We measure the liquidity profile of open-end mutual funds using the sensitivity of their daily returns to aggregate liquidity. We study how this sensitivity changes around real-activity macroeconomic announcements that reveal large surprises about the state of the economy and after three relevant market events: Bill Gross's departure from PIMCO, Third Avenue Focused Credit Fund's suspension of redemptions, and the effect of Lehman Brothers' collapse on Neuberger Berman. Results show that, following negative news, the sensitivity to aggregate liquidity increases for less-liquid mutual funds, like those that invest in the stocks of small companies and in high-yield corporate bonds. The effect is more pronounced during stress periods, suggesting that a deterioration in the funds' liquidity could amplify vulnerabilities in situations of already weak macroeconomic conditions.

Suggested Citation

  • Sirio Aramonte & Chiara Scotti & Ilknur Zer, 2019. "Measuring the Liquidity Profile of Mutual Funds," Finance and Economics Discussion Series 2019-055, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2019-55
    DOI: 10.17016/FEDS.2019.055
    as

    Download full text from publisher

    File URL: https://www.federalreserve.gov/econres/feds/files/2019055pap.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.17016/FEDS.2019.055?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Getmansky, Mila & Lo, Andrew W. & Makarov, Igor, 2004. "An econometric model of serial correlation and illiquidity in hedge fund returns," Journal of Financial Economics, Elsevier, vol. 74(3), pages 529-609, December.
    2. Frieder, Laura & Subrahmanyam, Avanidhar, 2005. "Brand Perceptions and the Market for Common Stock," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(1), pages 57-85, March.
    3. Goldstein, Itay & Jiang, Hao & Ng, David T., 2017. "Investor flows and fragility in corporate bond funds," Journal of Financial Economics, Elsevier, vol. 126(3), pages 592-613.
    4. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 238-249, April.
    5. Sergey Chernenko & Adi Sunderam, 2016. "Liquidity Transformation in Asset Management: Evidence from the Cash Holdings of Mutual Funds," NBER Working Papers 22391, National Bureau of Economic Research, Inc.
    6. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    7. Aruoba, S. BoraÄŸan & Diebold, Francis X. & Scotti, Chiara, 2009. "Real-Time Measurement of Business Conditions," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 417-427.
    8. Chen, Qi & Goldstein, Itay & Jiang, Wei, 2010. "Payoff complementarities and financial fragility: Evidence from mutual fund outflows," Journal of Financial Economics, Elsevier, vol. 97(2), pages 239-262, August.
    9. Grace Xing Hu & Jun Pan & Jiang Wang, 2013. "Noise as Information for Illiquidity," Journal of Finance, American Finance Association, vol. 68(6), pages 2341-2382, December.
    10. Richard B. Evans & Rüdiger Fahlenbrach, 2012. "Institutional Investors and Mutual Fund Governance: Evidence from Retail--Institutional Fund Twins," The Review of Financial Studies, Society for Financial Studies, vol. 25(12), pages 3530-3571.
    11. Gustavo Grullon, 2004. "Advertising, Breadth of Ownership, and Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 439-461.
    12. Veronesi, Pietro, 1999. "Stock Market Overreaction to Bad News in Good Times: A Rational Expectations Equilibrium Model," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 975-1007.
    13. Chernenko, Sergey & Sunderam, Adi, 2016. "Liquidity Transformation in Asset Management: Evidence form the Cash Holdings of Mutual Funds," Working Paper Series 2016-05, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    14. John C. Zhou, 2015. "Sophisticated Trading and Market Efficiency: Evidence from Macroeconomic News Announcements," Working Paper 346486, Harvard University OpenScholar.
    15. Chernenko, Sergey & Sunderam, Adi, 2016. "Liquidity transformation in asset management: Evidence from the cash holdings of mutual funds," ESRB Working Paper Series 23, European Systemic Risk Board.
    16. Cao, Charles & Simin, Timothy T. & Wang, Ying, 2013. "Do mutual fund managers time market liquidity?," Journal of Financial Markets, Elsevier, vol. 16(2), pages 279-307.
    17. repec:oup:rfinst:v:25:y::i:12:p:3530-3571 is not listed on IDEAS
    18. Jank, Stephan, 2012. "Mutual fund flows, expected returns, and the real economy," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3060-3070.
    19. John H. Boyd & Jian Hu & Ravi Jagannathan, 2005. "The Stock Market's Reaction to Unemployment News: Why Bad News Is Usually Good for Stocks," Journal of Finance, American Finance Association, vol. 60(2), pages 649-672, April.
    20. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    21. Scotti, Chiara, 2016. "Surprise and uncertainty indexes: Real-time aggregation of real-activity macro-surprises," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 1-19.
    22. Chalmers, John & Kaul, Aditya & Phillips, Blake, 2013. "The wisdom of crowds: Mutual fund investors’ aggregate asset allocation decisions," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3318-3333.
    23. Acharya, Viral V. & Amihud, Yakov & Bharath, Sreedhar T., 2013. "Liquidity risk of corporate bond returns: conditional approach," Journal of Financial Economics, Elsevier, vol. 110(2), pages 358-386.
    24. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2007. "Real-time price discovery in global stock, bond and foreign exchange markets," Journal of International Economics, Elsevier, vol. 73(2), pages 251-277, November.
    25. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    26. Zeng, Yao, 2017. "A dynamic theory of mutual fund runs and liquidity management," ESRB Working Paper Series 42, European Systemic Risk Board.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cagnazzo, Alberto, 2022. "Market-timing performance of mutual fund investors in Emerging Markets," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 378-394.
    2. Sirio Aramonte & Andreas Schrimpf & Hyun Song Shin, 2023. "Non-bank financial intermediaries and financial stability," Chapters, in: Refet S. Gürkaynak & Jonathan H. Wright (ed.), Research Handbook of Financial Markets, chapter 7, pages 147-170, Edward Elgar Publishing.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dang, Thuy Duong & Hollstein, Fabian & Prokopczuk, Marcel, 2022. "How do corporate bond investors measure performance? Evidence from mutual fund flows," Journal of Banking & Finance, Elsevier, vol. 142(C).
    2. Cai, Fang & Han, Song & Li, Dan & Li, Yi, 2019. "Institutional herding and its price impact: Evidence from the corporate bond market," Journal of Financial Economics, Elsevier, vol. 131(1), pages 139-167.
    3. Wang, Z. Jay & Yang, Jingyun, 2021. "Cross-trading and liquidity management: Evidence from municipal bond funds," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    4. Aragon, George O. & Kim, Min S., 2023. "Fire sale risk and expected stock returns," Journal of Financial Economics, Elsevier, vol. 149(3), pages 578-609.
    5. Valentin Haddad & Alan Moreira & Tyler Muir, 2021. "When Selling Becomes Viral: Disruptions in Debt Markets in the COVID-19 Crisis and the Fed’s Response [Funding value adjustments]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5309-5351.
    6. Antoine Baena & Thomas Garcia, 2023. "Swing Pricing et dynamique des flux au regard de la crise Covid-19," Working papers 914, Banque de France.
    7. Antonio Falato & Itay Goldstein & Ali Hortaçsu, 2020. "Financial Fragility in the COVID-19 Crisis: The Case of Investment Funds in Corporate Bond Markets," Working Papers 2020-98, Becker Friedman Institute for Research In Economics.
    8. Mathias S. Kruttli & Phillip J. Monin & Sumudu W. Watugala, 2017. "Investor Concentration, Flows, and Cash Holdings: Evidence from Hedge Funds," Working Papers 17-07, Office of Financial Research, US Department of the Treasury.
    9. Weth, Mark Andreas & Dötz, Niko, 2019. "Redemptions and Asset Liquidations in Corporate Bond Funds," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203542, Verein für Socialpolitik / German Economic Association.
    10. di Iasio, Giovanni & Kryczka, Dominika, 2021. "Market failures in market-based finance," Working Paper Series 2545, European Central Bank.
    11. Jiang, Hao & Li, Yi & Sun, Zheng & Wang, Ashley, 2022. "Does mutual fund illiquidity introduce fragility into asset prices? Evidence from the corporate bond market," Journal of Financial Economics, Elsevier, vol. 143(1), pages 277-302.
    12. Falato, Antonio & Goldstein, Itay & Hortaçsu, Ali, 2021. "Financial fragility in the COVID-19 crisis: The case of investment funds in corporate bond markets," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 35-52.
    13. Agostino Capponi & Paul Glasserman & Marko Weber, 2020. "Swing Pricing for Mutual Funds: Breaking the Feedback Loop Between Fire Sales and Fund Redemptions," Management Science, INFORMS, vol. 66(8), pages 3581-3602, August.
    14. Agostino Capponi & Paul Glasserman & Marko Weber, 2018. "Swing Pricing for Mutual Funds: Breaking the Feedback Loop Between Fire Sales and Fund Runs," Working Papers 18-04, Office of Financial Research, US Department of the Treasury.
    15. Breckenfelder, Johannes & Hoerova, Marie, 2023. "Do non-banks need access to the lender of last resort? Evidence from fund runs," Working Paper Series 2805, European Central Bank.
    16. Dötz, Niko & Weth, Mark, 2019. "Redemptions and asset liquidations in corporate bond funds," Discussion Papers 11/2019, Deutsche Bundesbank.
    17. Goldstein, Itay, 2017. "Comment on “Redemption risk and cash hoarding by asset managers” by Morris, Shim, and Shin," Journal of Monetary Economics, Elsevier, vol. 89(C), pages 88-91.
    18. Molestina Vivar, Luis & Wedow, Michael & Weistroffer, Christian, 2023. "Burned by leverage? Flows and fragility in bond mutual funds," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 354-380.
    19. Dunhong Jin & Marcin Kacperczyk & Bige Kahraman & Felix Suntheim, 2022. "Swing Pricing and Fragility in Open-End Mutual Funds," The Review of Financial Studies, Society for Financial Studies, vol. 35(1), pages 1-50.
    20. Koo, Minjae & Muslu, Volkan, 2023. "Fund Flows and Asset Valuations of Bond Mutual Funds: Effect of Side-by-Side Management," Journal of Banking & Finance, Elsevier, vol. 154(C).

    More about this item

    Keywords

    Asset management; Liquidity transformation; Market liquidity; Mutual funds;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedgfe:2019-55. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.