[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/fip/fednsr/93081.html
   My bibliography  Save this paper

COVID Response: The Main Street Lending Program

Author

Abstract
The Main Street Lending Program was created to support credit to small and medium-sized businesses and nonprofit organizations that were harmed by the pandemic, particularly those that were unsupported by other pandemic-response programs. It was the most direct involvement in the business loan market by the Federal Reserve since the 1930s and 1940s. Main Street operated by buying 95 percent participations in standardized loans from lenders (mostly banks) and sharing the credit risk with them. It would end up supporting loans to more than 2,400 borrowers and co-borrowers across the United States, with an average loan size of $9.5 million and total volume of $17.5 billion. This article describes the facility's goals, its design, the challenges and constraints that shaped its reach, and the characteristics of its borrowers and lenders. We conclude with some lessons learned for future policymakers and facility designers.

Suggested Citation

  • David M. Arseneau & José Fillat & Molly Mahar & Donald P. Morgan & Skander J. Van den Heuvel, 2021. "COVID Response: The Main Street Lending Program," Staff Reports 984, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednsr:93081
    Note: This paper was prepared for an upcoming issue of the Economic Policy Review and a related New York Fed conference, “Implications of Federal Reserve Actions in Response to the COVID-19 Pandemic.”
    as

    Download full text from publisher

    File URL: https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr984.pdf
    File Function: Full text
    Download Restriction: no

    File URL: https://www.newyorkfed.org/research/staff_reports/sr984.html
    File Function: Summary
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paolo Cavallino & Fiorella De Fiore, 2020. "Central banks' response to Covid-19 in advanced economies," BIS Bulletins 21, Bank for International Settlements.
    2. Timothy Sablik, 2013. "Fed Credit Policy during the Great Depression," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue Mar.
    3. Joshua D. Rauh & Amir Sufi, 2010. "Capital Structure and Debt Structure," The Review of Financial Studies, Society for Financial Studies, vol. 23(12), pages 4242-4280, December.
    4. Calomiris, Charles W. & Himmelberg, Charles P. & Wachtel, Paul, 1995. "Commercial paper, corporate finance, and the business cycle: a microeconomic perspective," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 42(1), pages 203-250, June.
    5. Gabriel Chodorow-Reich & Olivier M. Darmouni & Cooperman Harry & Stephan Luck & Matthew Plosser, 2020. "Weathering the Storm: Who Can Access Credit in a Pandemic?," Liberty Street Economics 20201013a, Federal Reserve Bank of New York.
    6. Carlos Cantú & Paolo Cavallino & Fiorella De Fiore & James Yetman, 2021. "A global database on central banks' monetary responses to Covid-19," BIS Working Papers 934, Bank for International Settlements.
    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. Camelia Minoiu & Rebecca Zarutskie & Andrei Zlate, 2021. "Motivating Banks to Lend? Credit Spillover Effects of the Main Street Lending Program," Finance and Economics Discussion Series 2021-078, Board of Governors of the Federal Reserve System (U.S.).

    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. David M. Arseneau & José Fillat & Molly Mahar & Donald P. Morgan & Skander J. Van den Heuvel, 2022. "The Main Street Lending Program," Economic Policy Review, Federal Reserve Bank of New York, vol. 28(1), June.
    2. Pu Shen, 2003. "Why has the nonfinancial commercial paper market shrunk recently?," Economic Review, Federal Reserve Bank of Kansas City, vol. 88(Q I), pages 55-76.
    3. Bruinshoofd Allard & Kool Clemens, 2002. "The Determinants of Corporate Liquidity in the Netherlands," Research Memorandum 014, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    4. Kirui, Benard Kipyegon & Gor, Seth Omondi, 2018. "Financial Constraints and Firm Capital Structure in Kenya," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(1), pages 177-190.
    5. Feixue Gong & Gregory Phelan, 2023. "Collateral constraints, tranching, and price bases," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 75(2), pages 317-340, February.
    6. Altinoglu, Levent, 2021. "The origins of aggregate fluctuations in a credit network economy," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 316-334.
    7. Wenlian Gao & Feifei Zhu & Kai Chen, 2023. "The role of bank lenders in firm leverage adjustments," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(1), pages 63-97, February.
    8. Choi, Jaewon & Hackbarth, Dirk & Zechner, Josef, 2018. "Corporate debt maturity profiles," Journal of Financial Economics, Elsevier, vol. 130(3), pages 484-502.
    9. Alessandra Iannamorelli & Stefano Nobili & Antonio Scalia & Luana Zaccaria, 2024. "Asymmetric Information and Corporate Lending: Evidence from SME Bond Markets," Review of Finance, European Finance Association, vol. 28(1), pages 163-201.
    10. Benmelech, Efraim & Frydman, Carola & Papanikolaou, Dimitris, 2019. "Financial frictions and employment during the Great Depression," Journal of Financial Economics, Elsevier, vol. 133(3), pages 541-563.
    11. Cantillo, Miguel & Wright, Julian, 2000. "How Do Firms Choose Their Lenders? An Empirical Investigation," The Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 155-189.
    12. Valérie Revest & Alessandro Sapio, 2012. "Financing technology-based small firms in Europe: what do we know?," Small Business Economics, Springer, vol. 39(1), pages 179-205, July.
    13. Pedro S. Amaral & Dean Corbae & Erwan Quintin, 2020. "Cash‐Flow Tranching And The Macroeconomy," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1815-1843, November.
    14. Jing Wu & Qiuge Yao & Haoxiang Tong, 2019. "Does monetary policy tightening reduce the maturity mismatch of investment and financing: Empirical evidence from China," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(6), pages 1-3.
    15. Mazumder, Sharif & Rao, Ramesh, 2023. "Social trust and the choice between bank debt and public debt: Evidence from international data," Journal of Multinational Financial Management, Elsevier, vol. 67(C).
    16. Ben-Nasr, Hamdi & Bouslimi, Lobna & Ebrahim, M. Shahid & Zhong, Rui, 2020. "Political uncertainty and the choice of debt sources," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    17. Korgaonkar, Sanket, 2023. "The agency costs of tranching: Evidence from RMBS," Journal of Financial Intermediation, Elsevier, vol. 54(C).
    18. Christopher F Baum & Mustafa Caglayan & Neslihan Ozkan, 2004. "The second moments matter: The response of bank lending behavior to macroeconomic uncertainty," Computing in Economics and Finance 2004 172, Society for Computational Economics.
    19. Délèze, Frédéric & Korkeamäki, Timo, 2018. "Interest rate risk management with debt issues: Evidence from Europe," Journal of Financial Stability, Elsevier, vol. 36(C), pages 1-11.
    20. Botta, Alberto & Caverzasi, Eugenio & Russo, Alberto, 2022. "When complexity meets finance: A contribution to the study of the macroeconomic effects of complex financial systems," Research Policy, Elsevier, vol. 51(8).

    More about this item

    Keywords

    Main Street Lending Program; COVID-19; credit demand; bank loans; bank capital; small businesses; Federal Reserve lending programs;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G2 - Financial Economics - - Financial Institutions and Services

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fednsr:93081. 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: Gabriella Bucciarelli (email available below). General contact details of provider: https://edirc.repec.org/data/frbnyus.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.