IDEAS home Printed from https://ideas.repec.org/a/spr/jecfin/v40y2016i1p137-156.html

Federal Home Loan Bank advances and bank risk

Author

Listed:
  • Travis Davidson

  • W. Simpson

Abstract

The Federal Home Loan Bank system (FHLB) has evolved into a major source of liquidity for the banking system with the demonstrated ability to borrow over a trillion dollars in world financial markets based on an implied U. S. Treasury guarantee. The FHLB loans the borrowed funds to commercial banks at reduced rates that are not adjusted for the risk of an individual bank. Moral hazard could cause member banks using FHLB loans to increase financial leverage and exposure to high risk assets. Conversely, the FHLB offers banks additional liquidity and specialized debt instruments that help them manage interest rate risk. We use dynamic panel generalized method of moments estimation to test the relation between FHLB advances and bank risk. We find that if banks have relatively normal default probabilities, advances are not associated with increased bank risk but, instead, advances are related to decreased interest rate risk. However, when bank default probabilities are high, our evidence suggests advances and higher bank risk are related. Copyright Springer Science+Business Media New York 2016

Suggested Citation

  • Travis Davidson & W. Simpson, 2016. "Federal Home Loan Bank advances and bank risk," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(1), pages 137-156, January.
  • Handle: RePEc:spr:jecfin:v:40:y:2016:i:1:p:137-156
    DOI: 10.1007/s12197-014-9300-8
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s12197-014-9300-8
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s12197-014-9300-8?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Stojanovic, Dusan & Vaughan, Mark D. & Yeager, Timothy J., 2008. "Do Federal Home Loan Bank membership and advances increase bank risk-taking?," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 680-698, May.
    2. Berger, Allen N. & Bouwman, Christa H.S., 2013. "How does capital affect bank performance during financial crises?," Journal of Financial Economics, Elsevier, vol. 109(1), pages 146-176.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Keeley, Michael C, 1990. "Deposit Insurance, Risk, and Market Power in Banking," American Economic Review, American Economic Association, vol. 80(5), pages 1183-1200, December.
    5. Lisa K. Ashley & Elijah Brewer & Nancy E. Vincent, 1998. "Access to FHLBank advances and the performance of thrift institutions," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 22(Q II), pages 33-52.
    6. Adam Ashcraft & Morten L. Bech & W. Scott Frame, 2010. "The Federal Home Loan Bank System: The Lender of Next‐to‐Last Resort?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 551-583, June.
    7. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    8. Billett, Matthew T. & Garfinkel, Jon A. & O'Neal, Edward S., 1998. "The cost of market versus regulatory discipline in banking," Journal of Financial Economics, Elsevier, vol. 48(3), pages 333-358, June.
    9. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    10. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    11. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    12. Han, Chirok & Phillips, Peter C. B., 2010. "Gmm Estimation For Dynamic Panels With Fixed Effects And Strong Instruments At Unity," Econometric Theory, Cambridge University Press, vol. 26(1), pages 119-151, February.
    13. Wintoki, M. Babajide & Linck, James S. & Netter, Jeffry M., 2012. "Endogeneity and the dynamics of internal corporate governance," Journal of Financial Economics, Elsevier, vol. 105(3), pages 581-606.
    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. Arora, Parush & Tran, Derek, 2025. "Central bank intervention and bank liquidity: Evidence from the paycheck protection program," Journal of Banking & Finance, Elsevier, vol. 178(C).
    2. Sriya Anbil & Mark A. Carlson & Mary-Frances Styczynski, 2021. "The Effect of the PPPLF on PPP Lending by Commercial Banks," Finance and Economics Discussion Series 2021-030, Board of Governors of the Federal Reserve System (U.S.).
    3. James Cash Acrey & Wayne Y. Lee & Timothy J. Yeager, 2019. "Can Federal Home Loan Banks effectively self-regulate lending to influential banks?," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(2), pages 197-210, June.
    4. Angelos Kanas & Panagiotis D. Zervopoulos, 2022. "Federal home loan bank advances and systemic risk," Review of Quantitative Finance and Accounting, Springer, vol. 59(4), pages 1525-1557, November.

    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. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    2. Franco Fiordelisi & David Marques & Phil Molyneux, 2009. "Efficiency and Risk-Taking in European Banking," Working Papers 09004, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    3. Desiderio Romero-Jordán & Pablo del Río & Cristina Peñasco, 2014. "Household electricity demand in Spanish regions. Public policy implications," Working Papers 2014/24, Institut d'Economia de Barcelona (IEB).
    4. Hayakawa, Kazuhiko & Pesaran, M. Hashem, 2015. "Robust standard errors in transformed likelihood estimation of dynamic panel data models with cross-sectional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 188(1), pages 111-134.
    5. Desiderio Romero-Jordán & Pablo del Río & Cristina Peñasco, 2014. "Household electricity demand in Spanish regions. Public policy implications," Working Papers 2014/24, Institut d'Economia de Barcelona (IEB).
    6. Díaz, Violeta & Huang, Ying, 2017. "The role of governance on bank liquidity creation," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 137-156.
    7. Ghimire, Umesh, 2022. "The Impact of Health on Wealth: Empirical Evidence," MPRA Paper 113850, University Library of Munich, Germany.
    8. Lalanne, Marie & Seabright, Paul, 2011. "The Old Boy Network: Gender Differences in the Impact of Social Networks on Remuneration in Top Executive Jobs," IDEI Working Papers 689, Institut d'Économie Industrielle (IDEI), Toulouse.
    9. Zhenlin Yang, 2014. "Initial-Condition Free Estimation of Fixed Effects Dynamic Panel Data Models," Working Papers 16-2014, Singapore Management University, School of Economics.
    10. Arturas Juodis, 2013. "First Difference Transformation in Panel VAR models: Robustness, Estimation and Inference," UvA-Econometrics Working Papers 13-06, Universiteit van Amsterdam, Dept. of Econometrics.
    11. Bouteska, Ahmed & Büyükoğlu, Burak & Ekşi, Ibrahim Halil, 2023. "How effective are banking regulations on banking performance and risk? Evidence from selected European countries," Finance Research Letters, Elsevier, vol. 53(C).
    12. Whelsy Boungou, 2019. "Negative Interest Rates, Bank Profitability and Risk-taking," Working Papers hal-03456106, HAL.
    13. Dimitar Eftimoski, 2020. "Some new insights on economic convergence and growth in Central, Eastern, and Southeastern Europe," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(4), pages 863-884, November.
    14. Gilani, Usman & Keasey, Kevin & Vallascas, Francesco, 2021. "Board financial expertise and the capital decisions of US banks," Journal of Corporate Finance, Elsevier, vol. 71(C).
    15. Sascha Tobias Wengerek & Benjamin Hippert & André Uhde, 2019. "Risk allocation through securitization - Evidence from non-performing loans," Working Papers Dissertations 58, Paderborn University, Faculty of Business Administration and Economics.
    16. Jing Jia & Zhongtian Li, 2022. "Corporate Environmental Performance and Financial Distress: Evidence from Australia," Australian Accounting Review, CPA Australia, vol. 32(2), pages 188-200, June.
    17. Gupta, Juhi & Kashiramka, Smita & Ly, Kim Cuong & Pham, Ha, 2023. "The interrelationship between bank capital and liquidity creation: A non-linear perspective from the Asia-Pacific region," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 793-820.
    18. Jing Jia & Zhongtian Li, 2022. "Corporate sustainability, earnings persistence and the association between earnings and future cash flows," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(1), pages 299-336, March.
    19. Boukhatem, Jamel, 2016. "Assessing the direct effect of financial development on poverty reduction in a panel of low- and middle-income countries," Research in International Business and Finance, Elsevier, vol. 37(C), pages 214-230.
    20. Dunbar, Kwamie & Treku, Daniel N., 2025. "Do energy transition investment flows aid climate commitments?," Energy Economics, Elsevier, vol. 142(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • 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

    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:spr:jecfin:v:40:y:2016:i:1:p:137-156. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.