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Optimal Timing in Banks' Write-Off Decisions under the Possible Implementation of a Subsidy Scheme: A Real Options Approach

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  • Baba, Naohiko

    (Bank of Japan)

Abstract

This paper provides a formal model that investigates optimal timing in banks' writing off their nonperforming loans. The motivation comes from the recent episodes of Japanese banks, which have been slow to clean up their nonperforming loans after the collapse of the "bubble" economy in the early 1990s. A real options approach is employed to measure the value of the rationality of the "forbearance policy." It is assumed that uncertainty will arise from the following sources: (1) the reinvestment return from freeing up funds through write-offs; (2) liquidation losses; (3) the possible implementation of a subsidy scheme; and (4) the reputational repercussions from not immediately writing off their nonperforming loans. This paper attaches particular importance to the uncertainty from the possible implementation of the subsidy scheme to explore its desirable features. Also, this paper examines the possible role of monetary policy in boosting the banks' incentive to write off.

Suggested Citation

  • 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.
  • Handle: RePEc:ime:imemes:v:19:y:2001:i:3:p:113-141
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    File URL: http://www.imes.boj.or.jp/research/papers/english/me19-3-4.pdf
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    Cited by:

    1. Lepetit, Laetitia & Strobel, Frank & Dickinson, David G., 2012. "Does uncertainty matter for loan charge-offs?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 264-277.
    2. Bilal Mehmood & Haider Mahmood & Raisa Shabbir Ahmed, 2014. "Macro-Financial Covariates of Non-Performing Loans (NPLs) in Pakistani Commercial Banks: A Reexamination Using GMM Estimator," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 2(11), pages 443-448, November.
    3. Wu, Qingyang & Chang, Siqi & Bai, Caiquan & Wei, Wendong, 2023. "How do zombie enterprises hinder climate change action plans in China?," Energy Economics, Elsevier, vol. 124(C).
    4. Takashi Shibata & Tetsuya Yamada, 2009. "Dynamic Model of Credit Risk in Relationship Lending: A Game- Theoretic Real Options Approach," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 27(1), pages 195-218, November.

    More about this item

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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