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The Collateral Channel and Bank Credit

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Abstract

We identify the firm-level and aggregate effects of collateral price shocks on business lending and investment — also known as the collateral channel — using detailed bank-firm-loan level data that allow us to observe the pledging of real estate collateral and to control for credit demand and supply conditions. At the firm level, a 1-percentage-point increase in collateral values leads to an increase of 12 basis points in credit growth, whereas the average elasticity of credit to collateral values in the cross-section of metropolitan statistical areas (MSAs) is seven times larger. Our estimates imply that as much as 37 percent of employment growth over the period from 2013 to 2019 can be attributed to the relaxation of borrowing constraints on bank-dependent borrowers.

Suggested Citation

  • Arun Gupta & Horacio Sapriza & Vladimir Yankov, 2023. "The Collateral Channel and Bank Credit," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, vol. 23(33), October.
  • Handle: RePEc:fip:fedreb:97013
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    1. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing High House Prices: Bubbles, Fundamentals and Misperceptions," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 67-92, Fall.
    2. Glancy, David, 2021. "Housing bust, bank lending & employment: Evidence from multimarket banks," Journal of Banking & Finance, Elsevier, vol. 127(C).
    3. Mark Gertler & Simon Gilchrist, 1994. "Monetary Policy, Business Cycles, and the Behavior of Small Manufacturing Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 309-340.
    4. Bengt Holmstrom & Jean Tirole, 1997. "Financial Intermediation, Loanable Funds, and The Real Sector," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(3), pages 663-691.
    5. Michael Siemer, 2019. "Employment Effects of Financial Constraints during the Great Recession," The Review of Economics and Statistics, MIT Press, vol. 101(1), pages 16-29, March.
    6. Banerjee, Ryan & Blickle, Kristian, 2021. "Financial frictions, real estate collateral and small firm activity in Europe," European Economic Review, Elsevier, vol. 138(C).
    7. Atif Mian & Amir Sufi, 2011. "House Prices, Home Equity-Based Borrowing, and the US Household Leverage Crisis," American Economic Review, American Economic Association, vol. 101(5), pages 2132-2156, August.
    8. Michael Greenstone & Alexandre Mas & Hoai-Luu Nguyen, 2020. "Do Credit Market Shocks Affect the Real Economy? Quasi-experimental Evidence from the Great Recession and "Normal" Economic Times," American Economic Journal: Economic Policy, American Economic Association, vol. 12(1), pages 200-225, February.
    9. Mary Amiti & David E. Weinstein, 2018. "How Much Do Idiosyncratic Bank Shocks Affect Investment? Evidence from Matched Bank-Firm Loan Data," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 525-587.
    10. Asim Ijaz Khwaja & Atif Mian, 2008. "Tracing the Impact of Bank Liquidity Shocks: Evidence from an Emerging Market," American Economic Review, American Economic Association, vol. 98(4), pages 1413-1442, September.
    11. 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.).
    12. Bernanke, Ben & Gertler, Mark, 1989. "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, American Economic Association, vol. 79(1), pages 14-31, March.
    13. Chen Lian & Yueran Ma, 2021. "Anatomy of Corporate Borrowing Constraints," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(1), pages 229-291.
    14. Oliver Hart & John Moore, 1994. "A Theory of Debt Based on the Inalienability of Human Capital," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(4), pages 841-879.
    15. Jianjun Miao & Pengfei Wang, 2018. "Asset Bubbles and Credit Constraints," American Economic Review, American Economic Association, vol. 108(9), pages 2590-2628, September.
    16. Cecilia R. Caglio & R. Matthew Darst & Ṣebnem Kalemli-Özcan, 2021. "Collateral Heterogeneity and Monetary Policy Transmission: Evidence from Loans to SMEs and Large Firms," NBER Working Papers 28685, National Bureau of Economic Research, Inc.
    17. Degryse, Hans & De Jonghe, Olivier & Jakovljević, Sanja & Mulier, Klaas & Schepens, Glenn, 2019. "Identifying credit supply shocks with bank-firm data: Methods and applications," Journal of Financial Intermediation, Elsevier, vol. 40(C).
    18. Gan, Jie, 2007. "Collateral, debt capacity, and corporate investment: Evidence from a natural experiment," Journal of Financial Economics, Elsevier, vol. 85(3), pages 709-734, September.
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    Cited by:

    1. Arun Gupta & Horacio Sapriza, 2022. "Do Costly Internal Equity Injections Reveal Bank Expectations about Post-Crisis Real Outcomes?," Working Paper 23-03, Federal Reserve Bank of Richmond.
    2. Ricardo Duque Gabriel, 2022. "The Credit Channel of Public Procurement," GEE Papers 0171, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Nov 2022.

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    More about this item

    Keywords

    Collateral channel; Assets; Bank Credit;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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