IDEAS home Printed from https://ideas.repec.org/a/vrs/foeste/v22y2022i1p263-286n9.html
   My bibliography  Save this article

Modeling Distress in US High Yield Mutual Funds Before and During the Covid-19 Pandemic

Author

Listed:
  • Szymczyk Łukasz

    (Department of Investment and Financial Markets, Institute of Finance, Poznan University of Economics and Business)

  • Van Horne Richard

    (Department of Investment and Financial Markets, Institute of Finance, Poznan University of Economics and Business)

  • Perez Katarzyna

    (Department of Investment and Financial Markets, Institute of Finance, Poznan University of Economics and Business)

Abstract

Research background: In March 2020, when the US financial markets were in the grip of the COVID-19 crisis, the Fed instituted various policies and programs to alleviate stress in financial markets. One such program involved the Fed purchase of securities and ETFs in certain market segments, including high yield bonds. This buying action inspired investors to join the Fed (or front-run the Fed) in the high yield bond market, resulting in the tightening of spreads in that market to historically tight levels.

Suggested Citation

  • Szymczyk Łukasz & Van Horne Richard & Perez Katarzyna, 2022. "Modeling Distress in US High Yield Mutual Funds Before and During the Covid-19 Pandemic," Folia Oeconomica Stetinensia, Sciendo, vol. 22(1), pages 263-286, June.
  • Handle: RePEc:vrs:foeste:v:22:y:2022:i:1:p:263-286:n:9
    DOI: 10.2478/foli-2022-0013
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/foli-2022-0013
    Download Restriction: no

    File URL: https://libkey.io/10.2478/foli-2022-0013?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
    ---><---

    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. Ľuboš Pástor & M Blair Vorsatz & Jeffrey Pontiff, 0. "Mutual Fund Performance and Flows during the COVID-19 Crisis," The Review of Asset Pricing Studies, Oxford University Press, vol. 10(4), pages 791-833.
    3. Markus K. Brunnermeier & Lasse Heje Pedersen, 2009. "Market Liquidity and Funding Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2201-2238, June.
    4. Mahyar Kargar & Benjamin Lester & David Lindsay & Shuo Liu & Pierre-Olivier Weill & Diego Zúñiga, 2021. "Corporate Bond Liquidity during the COVID-19 Crisis [The day coronavirus nearly broke the financial markets]," Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5352-5401.
    5. Nozawa, Yoshio & Qiu, Yancheng, 2021. "Corporate bond market reactions to quantitative easing during the COVID-19 pandemic," Journal of Banking & Finance, Elsevier, vol. 133(C).
    6. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    7. Mishra, Ajay Kumar & Parikh, Bhavik & Spahr, Ronald W., 2020. "Stock market liquidity, funding liquidity, financial crises and quantitative easing," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 456-478.
    8. 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.
    9. Zaremba, Adam & Aharon, David Y. & Demir, Ender & Kizys, Renatas & Zawadka, Dariusz, 2021. "COVID-19, government policy responses, and stock market liquidity around the world: A note," Research in International Business and Finance, Elsevier, vol. 56(C).
    10. Hendrik Bessembinder & Stacey Jacobsen & William Maxwell & Kumar Venkataraman, 2018. "Capital Commitment and Illiquidity in Corporate Bonds," Journal of Finance, American Finance Association, vol. 73(4), pages 1615-1661, August.
    11. Bao, Jack & O’Hara, Maureen & (Alex) Zhou, Xing, 2018. "The Volcker Rule and corporate bond market making in times of stress," Journal of Financial Economics, Elsevier, vol. 130(1), pages 95-113.
    12. Michael A. S. Joyce & Ana Lasaosa & Ibrahim Stevens & Matthew Tong, 2011. "The Financial Market Impact of Quantitative Easing in the United Kingdom," International Journal of Central Banking, International Journal of Central Banking, vol. 7(3), pages 113-161, September.
    13. Fall, Malick & Louhichi, Waël & Viviani, Jean Laurent, 2019. "Empirical tests on the asset pricing model with liquidity risk: An unobserved components approach," Economic Modelling, Elsevier, vol. 80(C), pages 75-86.
    14. Bali, Turan G. & Subrahmanyam, Avanidhar & Wen, Quan, 2021. "Long-term reversals in the corporate bond market," Journal of Financial Economics, Elsevier, vol. 139(2), pages 656-677.
    15. 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.
    16. O'Hara, Maureen & Zhou, Xing (Alex), 2021. "Anatomy of a liquidity crisis: Corporate bonds in the COVID-19 crisis," Journal of Financial Economics, Elsevier, vol. 142(1), pages 46-68.
    17. Bai, Jennie & Bali, Turan G. & Wen, Quan, 2021. "Is there a risk-return tradeoff in the corporate bond market? Time-series and cross-sectional evidence," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1017-1037.
    18. Di Maggio, Marco & Kermani, Amir & Song, Zhaogang, 2017. "The value of trading relations in turbulent times," Journal of Financial Economics, Elsevier, vol. 124(2), pages 266-284.
    19. Amy K. Edwards & Lawrence E. Harris & Michael S. Piwowar, 2007. "Corporate Bond Market Transaction Costs and Transparency," Journal of Finance, American Finance Association, vol. 62(3), pages 1421-1451, June.
    Full references (including those not matched with items on IDEAS)

    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. Goldstein, Michael A. & Namin, Elmira Shekari, 2023. "Corporate bond liquidity and yield spreads: A review," Research in International Business and Finance, Elsevier, vol. 65(C).
    2. Huang, Alan Guoming & Wermers, Russ & Xue, Jinming, 2023. ""Buy the rumor, sell the news": Liquidity provision by bond funds following corporate news events," CFR Working Papers 23-07, University of Cologne, Centre for Financial Research (CFR).
    3. Miguel Antón & Christopher Polk, 2014. "Connected Stocks," Journal of Finance, American Finance Association, vol. 69(3), pages 1099-1127, June.
    4. Scheicher, Martin, 2023. "Intermediation in US and EU bond and swap markets: stylised facts, trends and impact of the coronavirus (COVID-19) crisis in March 2020," ESRB Occasional Paper Series 24, European Systemic Risk Board.
    5. Gábor Pintér & Chaojun Wang & Junyuan Zou, 2021. "Size Discount and Size Penalty Trading Costs in Bond Markets," Discussion Papers 2114, Centre for Macroeconomics (CFM).
    6. Schaub, Nic & Schmid, Markus, 2013. "Hedge fund liquidity and performance: Evidence from the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 671-692.
    7. Reichenbacher, Michael & Schuster, Philipp, 2022. "Size-adapted bond liquidity measures and their asset pricing implications," Journal of Financial Economics, Elsevier, vol. 146(2), pages 425-443.
    8. Bai, Jennie & Bali, Turan G. & Wen, Quan, 2021. "Is there a risk-return tradeoff in the corporate bond market? Time-series and cross-sectional evidence," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1017-1037.
    9. Goldstein, Michael A. & Hotchkiss, Edith S., 2020. "Providing liquidity in an illiquid market: Dealer behavior in US corporate bonds," Journal of Financial Economics, Elsevier, vol. 135(1), pages 16-40.
    10. O'Hara, Maureen & Alex Zhou, Xing, 2021. "The electronic evolution of corporate bond dealers," Journal of Financial Economics, Elsevier, vol. 140(2), pages 368-390.
    11. Cristina Cella & Andrew Ellul & Mariassunta Giannetti, 2013. "Investors' Horizons and the Amplification of Market Shocks," Review of Financial Studies, Society for Financial Studies, vol. 26(7), pages 1607-1648.
    12. Jeong, Giho & Kang, Jangkoo & Kwon, Kyung Yoon, 2018. "Liquidity skewness premium," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 130-150.
    13. François-Éric Racicot & Raymond Théoret, 2022. "Tracking market and non-traditional sources of risks in procyclical and countercyclical hedge fund strategies under extreme scenarios: a nonlinear VAR approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-56, December.
    14. Daniel Barth & Juha Joenvaara & Mikko Kauppila & Russ Wermers, 2020. "The Hedge Fund Industry is Bigger (and has Performed Better) Than You Think," Working Papers 20-01, Office of Financial Research, US Department of the Treasury.
    15. Thomas Paul & Thomas Walther & André Küster-Simic, 2022. "Empirical analysis of the illiquidity premia of German real estate securities," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(2), pages 203-260, June.
    16. Claudiu Tiberiu Albulescu & Eugenia Grecu, 2023. "Government Interventions and Sovereign Bond Market Volatility during COVID-19: A Quantile Analysis," Mathematics, MDPI, vol. 11(5), pages 1-14, February.
    17. Stefan Nagel, 2013. "Empirical Cross-Sectional Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 167-199, November.
    18. O'Hara, Maureen & Zhou, Xing (Alex), 2021. "Anatomy of a liquidity crisis: Corporate bonds in the COVID-19 crisis," Journal of Financial Economics, Elsevier, vol. 142(1), pages 46-68.
    19. Kooli, Maher & Zhang, Min, 2022. "Not only skill but also scale: Evidence from the hedge funds industry," International Review of Financial Analysis, Elsevier, vol. 83(C).
    20. He, Zhiguo & Kelly, Bryan & Manela, Asaf, 2017. "Intermediary asset pricing: New evidence from many asset classes," Journal of Financial Economics, Elsevier, vol. 126(1), pages 1-35.

    More about this item

    Keywords

    high yield mutual funds; liquidity risk; serial correlation model; lagged effect model; portfolio liquidity; COVID-19 pandemic;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • 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:vrs:foeste:v:22:y:2022:i:1:p:263-286:n:9. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.