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Bank Solvency and Funding Cost: New Data and New Results

Author

Listed:
  • Mr. Stefan W. Schmitz
  • Michael Sigmund
  • Ms. Laura Valderrama

Abstract

This paper presents new evidence on the empirical relationship between bank solvency and funding costs. Building on a newly constructed dataset drawing on supervisory data for 54 large banks from six advanced countries over 2004–2013, we use a simultaneous equation approach to estimate the contemporaneous interaction between solvency and liquidity. Our results show that liquidity and solvency interactions can be more material than suggested by the existing empirical literature. A 100 bps increase in regulatory capital ratios is associated with a decrease of bank funding costs of about 105 bps. A 100 bps increase in funding costs reduces regulatory capital buffers by 32 bps. We also find evidence of non-linear effects between solvency and funding costs. Understanding the impact of solvency on funding costs is particularly relevant for stress testing. Our analysis suggests that neglecting the dynamic features of the solvency-liquidity nexus in the 2014 EU-wide stress test could have led to a significant underestimation of the impact of stress on bank capital ratios.

Suggested Citation

  • Mr. Stefan W. Schmitz & Michael Sigmund & Ms. Laura Valderrama, 2017. "Bank Solvency and Funding Cost: New Data and New Results," IMF Working Papers 2017/116, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2017/116
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    References listed on IDEAS

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    1. Iftekhar Hasan & Liuling Liu & Gaiyan Zhang, 2016. "The Determinants of Global Bank Credit-Default-Swap Spreads," Journal of Financial Services Research, Springer;Western Finance Association, vol. 50(3), pages 275-309, December.
    2. Diane Pierret, 2015. "Systemic Risk and the Solvency-Liquidity Nexus of Banks," International Journal of Central Banking, International Journal of Central Banking, vol. 11(3), pages 193-227, June.
    3. Miss Rita Babihuga & Marco Spaltro, 2014. "Bank Funding Costs for International Banks," IMF Working Papers 2014/071, International Monetary Fund.
    4. 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.
    5. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(4), pages 795-837, August.
    6. Stefan W. Schmitz, 2013. "The Impact of the Liquidity Coverage Ratio (LCR) on the Implementation of Monetary Policy," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 42(2), pages 135-170, July.
    7. Andrei Shleifer & Robert Vishny, 2011. "Fire Sales in Finance and Macroeconomics," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 29-48, Winter.
    8. Alok Bhargava, 2006. "Identification and Panel Data Models with Endogenous Regressors," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 3, pages 49-60, World Scientific Publishing Co. Pte. Ltd..
    9. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    10. Distinguin, Isabelle & Roulet, Caroline & Tarazi, Amine, 2013. "Bank regulatory capital and liquidity: Evidence from US and European publicly traded banks," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3295-3317.
    11. Kitamura, Tomiyuki & Muto, Ichiro & Takei, Ikuo, 2016. "Loan interest rate pass-through and changes after the financial crisis: Japan’s evidence," Journal of the Japanese and International Economies, Elsevier, vol. 42(C), pages 10-30.
    12. Ericsson, Jan & Jacobs, Kris & Oviedo, Rodolfo, 2009. "The Determinants of Credit Default Swap Premia," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(1), pages 109-132, February.
    13. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    14. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    15. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    16. Nikola A. Tarashev, 2008. "An Empirical Evaluation of Structural Credit-Risk Models," International Journal of Central Banking, International Journal of Central Banking, vol. 4(1), pages 1-53, March.
    17. Nakamura, Alice & Nakamura, Masao, 1981. "On the Relationships among Several Specification Error Tests Presented by Durbin, Wu, and Hausman," Econometrica, Econometric Society, vol. 49(6), pages 1583-1588, November.
    18. Jan F. Kiviet, 1986. "On the Rigour of Some Misspecification Tests for Modelling Dynamic Relationships," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(2), pages 241-261.
    19. 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.
    20. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    21. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    22. Gara Afonso & Anna Kovner & Antoinette Schoar, 2011. "Stressed, Not Frozen: The Federal Funds Market in the Financial Crisis," Journal of Finance, American Finance Association, vol. 66(4), pages 1109-1139, August.
    23. Jill Cetina, 2015. "Incorporating Liquidity Shocks and Feedbacks in Bank Stress Tests," Briefs 15-06, Office of Financial Research, US Department of the Treasury.
    24. Long Chen & Pierre Collin-Dufresne & Robert S. Goldstein, 2009. "On the Relation Between the Credit Spread Puzzle and the Equity Premium Puzzle," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3367-3409, September.
    25. McElroy, Marjorie B., 1977. "Goodness of fit for seemingly unrelated regressions : Glahn's R2y.x and Hooper's r2," Journal of Econometrics, Elsevier, vol. 6(3), pages 381-387, November.
    26. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    27. Viral V. Acharya & Nada Mora, 2015. "A Crisis of Banks as Liquidity Providers," Journal of Finance, American Finance Association, vol. 70(1), pages 1-43, February.
    28. 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.
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