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Global Banking Glut and Loan Risk Premium

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Abstract

European global banks intermediating U.S. dollar funds are important in influencing credit conditions in the United States. U.S. dollar-denominated assets of banks outside the United States are comparable in size to the total assets of the U.S. commercial bank sector, but the large gross cross-border positions are masked by the netting out of the gross assets and liabilities. As a consequence, current account imbalances do not reflect the influence of gross capital flows on U.S. financial conditions. This paper pieces together evidence from a global flow of funds analysis, and develops a theoretical model linking global banks and U.S. loan risk premiums. The culprit for the easy credit conditions in the United States up to 2007 may have been the “Global Banking Glut” rather than the “Global Savings Glut.”

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Notes

  1. The impact of global liquidity on emerging and developing economies has been explored in Bruno and Shin (2011).

  2. See, for instance, the BIS studies by Baba, McCauley, and Ramaswamy (2009) and McGuire and von Peter (2009) on the use of U.S. dollar wholesale funding by European global banks. Acharya and Schnabl (2009) report that European banks were sponsors for around 70 percent of the asset-backed commercial paper (ABCP) originated prior to the subprime crisis.

  3. See also Obstfeld and Rogoff (2007); Lane and Milesi-Ferretti (2007) and Gourinchas and Rey (2007) and the postcrisis updated evidence in Gourinchas, Govillot, and Rey (2010).

  4. The line numbers in Figure 2 refer to the balance of payments table from the U.S. Bureau of Economic Analysis: www.bea.gov/newsreleases/international/trade/trad_time_series.xls

  5. See for instance Kindleberger's (1965) Princeton Essay in International Finance (Kindleberger, 1965).

  6. Adrian and Shin (2008 and 2010) discuss the evidence from U.S. investment banks, while Bruno and Shin (2011) show in their empirical investigation of capital flows to emerging economies that non-U.S. global banks behave similarly.

  7. See Danielsson et al. (2001) for an early comment on the potential adverse impact of Basel II for financial stability. See also Shin (2010, chapter 10) for historical background.

  8. See BIS (2009) for details on the BIS banking statistics. See McGuire and von Peter (2009) for an example of how the BIS statistics can be used in combination to reconstruct aggregate cross-border banking positions.

  9. The U.S. dollar only series peaks at $4.8 trillion in 2008:Q1, of which $1 trillion is the claim held by branches of U.S. banks on their parent. I am grateful to Carol Bertaut and Laurie DeMarco for pointing this out. See also Cetorelli and Goldberg (2009 and 2011) who document the workings of internal capital markets U.S. banks.

  10. Closely related to the Global Savings Glut argument is the hypothesis that emerging economies lack high-quality financial assets, and that the demand for high quality of assets by emerging economy residents results in current account imbalances and lower interest rates in the United States. See, for instance, Caballero, Fahri, and Gourinchas (2008).

  11. www.federalreserve.gov/monetarypolicy/taf.htm

  12. See Adrian and Shin (2008) for a possible microfoundation for the VaR constraint as a consequence of constraints imposed by creditors.

  13. See Adrian and Shin (2008 and 2010) for empirical evidence that banks take equity as given and adjust leverage by adjusting the size of their balance sheet.

  14. This is an assumption made for simplicity of the solution, and does not affect the overall conclusions. If MMF shares are not guaranteed, then the small credit risk in MMF shares will need to be factored into the portfolio decision.

  15. See Vasicek (2002) for additional properties of the asset realization function w(Y).

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Additional information

*Hyun Song Shin is the Hughes-Rogers Professor of Economics at Princeton University. Mundell-Fleming Lecture, presented at the 2011 IMF Annual Research Conference, November 10-11, 2011. The author is grateful to Olivier Blanchard for hosting the lecture. The author also thanks Viral Acharya, James Aitken, Carol Bertaut, Claudio Borio, Michael Chui, Stijn Claessens, Laurie Pounder DeMarco, Pierre-Olivier Gourinchas, Dong He, Haizhou Huang, Ayhan Kose, Ashoka Mody, Goetz von Peter, Philipp Schnabl, Andrew Sheng, Manmohan Singh, and Hui Tong for comments on an earlier draft. The author thanks Daniel Lewis and Linda Zhao for research assistance.

Appendix

Appendix

In this appendix, we present the derivation of the variance of the asset realization w(Y) in Vasicek (2002). Let k−1(ɛ) and X1, X2,…, X n be i.i.d. standard normal.

where (Z1,…, Z n ) is multivariate standard normal with correlation ρ. Hence

and

where Φ2(·, ·; ρ) cumulative bivariate standard normal with correlation ρ.

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Shin, H. Global Banking Glut and Loan Risk Premium. IMF Econ Rev 60, 155–192 (2012). https://doi.org/10.1057/imfer.2012.6

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