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Federal Reserve financial crisis lending programs and bank stock returns

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  • Cyree, Ken B.
  • Griffiths, Mark D.
  • Winters, Drew B.

Abstract

We use an E-GARCH model to estimate the wealth effects of Federal Reserve lending during the financial crisis to Investment banks (I-Banks), “Too Big to Fail” (TBTF) banks, and “traditional” commercial banks. Borrowing from the Term Auction Facility program has negative wealth effects for all banks and I-banks in particular. We also find that the market view of the liquidity programs changed across the sample sub-periods. I-Bank and TBTF bank borrowing from the discount window is initially viewed positively, however continued use of the discount window and the Term Auction Facility was generally (though not universally) viewed negatively. Commercial Paper Funding Facility program participation is consistently positive only for traditional banks and programs that focus on the purchase of specific securities (e.g., commercial paper) to address specific problems also appear to primarily benefit traditional banks. The inconsistency of results across the time periods of the crisis is telling as market participants struggled to discern what access to these programs meant.

Suggested Citation

  • Cyree, Ken B. & Griffiths, Mark D. & Winters, Drew B., 2013. "Federal Reserve financial crisis lending programs and bank stock returns," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3819-3829.
  • Handle: RePEc:eee:jbfina:v:37:y:2013:i:10:p:3819-3829
    DOI: 10.1016/j.jbankfin.2013.06.004
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    References listed on IDEAS

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    1. Craig Furfine, 2003. "Standing Facilities and Interbank Borrowing: Evidence from the Federal Reserve's New Discount Window," International Finance, Wiley Blackwell, vol. 6(3), pages 329-347, November.
    2. Armantier, Olivier & Ghysels, Eric & Sarkar, Asani & Shrader, Jeffrey, 2015. "Discount window stigma during the 2007–2008 financial crisis," Journal of Financial Economics, Elsevier, vol. 118(2), pages 317-335.
    3. Akay, Ozgur (Ozzy) & Griffiths, Mark D. & Kotomin, Vladimir & Winters, Drew B., 2013. "A look inside AMLF: What traded and who benefited," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1643-1657.
    4. Veronesi, Pietro & Zingales, Luigi, 2010. "Paulson's gift," Journal of Financial Economics, Elsevier, vol. 97(3), pages 339-368, September.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. Acharya, Viral V. & Fleming, Michael J. & Hrung, Warren B. & Sarkar, Asani, 2017. "Dealer financial conditions and lender-of-last-resort facilities," Journal of Financial Economics, Elsevier, vol. 123(1), pages 81-107.
    7. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    8. Tobias Adrian & Christopher R. Burke & James J. McAndrews, 2009. "The Federal Reserve's Primary Dealer Credit Facility," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 15(Aug).
    9. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    10. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    11. Stephen G. Cecchetti, 2009. "Crisis and Responses: The Federal Reserve in the Early Stages of the Financial Crisis," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 51-75, Winter.
    12. Gary B. Gorton & Andrew Metrick & Chase P. Ross, 2020. "Who Ran on Repo?," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 487-492, May.
    13. Burcu Duygan-Bump & Patrick Parkinson & Eric Rosengren & Gustavo A. Suarez & Paul Willen, 2013. "How Effective Were the Federal Reserve Emergency Liquidity Facilities? Evidence from the Asset-Backed Commercial Paper Money Market Mutual Fund Liquidity Facility," Journal of Finance, American Finance Association, vol. 68(2), pages 715-737, April.
    14. Furfine, Craig, 2003. "Standing Facilities and Interbank Borrowing: Evidence from the Federal Reserve's New Discount Window," International Finance, Wiley Blackwell, vol. 6(3), pages 329-347, Winter.
    15. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    16. Marcin Kacperczyk & Philipp Schnabl, 2010. "When Safe Proved Risky: Commercial Paper during the Financial Crisis of 2007-2009," Journal of Economic Perspectives, American Economic Association, vol. 24(1), pages 29-50, Winter.
    17. Mark D. Griffiths & Vladimir Kotomin & Drew B. Winters, 2011. "The Federal Reserve and the 2007–2009 Financial Crisis: Treating a Virus with Antibiotics? Evidence from the Commercial Paper Market," The Financial Review, Eastern Finance Association, vol. 46(4), pages 541-567, November.
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    Cited by:

    1. Berger, Allen N. & Demirgüç-Kunt, Asli, 2021. "Banking research in the time of COVID-19," Journal of Financial Stability, Elsevier, vol. 57(C).
    2. Ken B. Cyree & Mark D. Griffiths & Drew B. Winters, 2017. "Implications of a TAF program stigma for lenders: the case of publicly traded banks versus privately held banks," Review of Quantitative Finance and Accounting, Springer, vol. 49(2), pages 545-567, August.
    3. Benjamin M. Blau & Scott E. Hein & Ryan J. Whitby, 2016. "The Financial Impact Of Lender-Of-Last-Resort Borrowing From The Federal Reserve During The Financial Crisis," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 39(2), pages 179-206, June.
    4. Christina Bui, 2018. "Bank Regulation and Financial Stability," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2018.
    5. Bessler, Wolfgang & Kurmann, Philipp & Nohel, Tom, 2015. "Time-varying systematic and idiosyncratic risk exposures of US bank holding companies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 45-68.
    6. Kick, Thomas & Koetter, Michael & Storz, Manuela, 2020. "Cross-border transmission of emergency liquidity," Journal of Banking & Finance, Elsevier, vol. 113(C).
    7. Bui, Christina & Scheule, Harald & Wu, Eliza, 2020. "A cautionary tale of two extremes: The provision of government liquidity support in the banking sector," Journal of Financial Stability, Elsevier, vol. 51(C).

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    More about this item

    Keywords

    Financial crisis; Federal Reserve liquidity programs; Too Big to Fail;
    All these keywords.

    JEL classification:

    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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