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Does uncertainty matter for loan charge-offs?

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Author Info

  • Lepetit, Laetitia
  • Strobel, Frank
  • Dickinson, David G.

Abstract

Using a stylized real options model, we show that discretion over the timing of charging off a non-performing loan could be economically justified when collateral values are uncertain and there is a chance of loan recovery. The implied hypothesis of an “uncertainty dependence” aspect in loan charge-offs is empirically tested and validated using a panel of European banks. A welfare-maximizing regulator might want to let banks pursue such discretionary loan charge-off behavior, with the problem of distinguishing it from alternative capital management and income smoothing objectives, while transparency-seeking accounting standards setters would presumably not.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of International Financial Markets, Institutions and Money.

Volume (Year): 22 (2012)
Issue (Month): 2 ()
Pages: 264-277

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Handle: RePEc:eee:intfin:v:22:y:2012:i:2:p:264-277

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Web page: http://www.elsevier.com/locate/intfin

Related research

Keywords: Discretion; Loan charge-off; Uncertainty dependence; Real option;

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References

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  1. Joe Peek & Eric S. Rosengren, 2003. "Unnatural Selection: Perverse Incentives and the Misallocation of Credit in Japan," NBER Working Papers 9643, National Bureau of Economic Research, Inc.
  2. Sekine, Toshitaka & Kobayashi, Keiichiro & Saita, Yumi, 2003. "Forbearance Lending: The Case of Japanese Firms," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 21(2), pages 69-92, August.
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  10. Baba, Naohiko, 2001. "Optimal Timing in Banks' Write-Off Decisions under the Possible Implementation of a Subsidy Scheme: A Real Options Approach," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 19(3), pages 113-141, November.
  11. Thomas F. Cargill & Michael M. Hutchison & Takatoshi Ito, 1997. "The Political Economy of Japanese Monetary Policy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262032473.
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