JOURNAL ARTICLE

Asset Reclassifications and Bank Recapitalization During the Financial Crisis.

  • Published In: Management Science (INFORMS), 2023, v. 69, n. 1. P. 75 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Bischof, Jannis; Brüggemann, Ulf; Daske, Holger 3 of 3

Abstract

This article examines the introduction and effects of the reclassification option for financial assets, an accrual-based accounting measure allowed by the International Accounting Standards Board (IASB) during the 2008 financial crisis to help banks increase regulatory capital temporarily. The study finds that while asset reclassifications provided banks with short-term regulatory capital relief without diluting shareholder control, they rank low in the pecking order of recapitalization measures compared to capital injections (especially government support) and real capital management such as asset sales. Market reactions to reclassification announcements were generally negative, reflecting investor concerns about transparency and financial distress, particularly when disclosures were incomplete. Long-term evidence indicates that banks relying on reclassifications without additional real capital injections faced worse financial outcomes, including lower stress-test capital ratios, deteriorated credit ratings, and poorer stock performance. The findings suggest that regulatory forbearance via accounting rule relaxation offers only temporary relief and is insufficient without concurrent real corrective actions to ensure sustainable bank recapitalization.

Additional Information

  • Source:Management Science (INFORMS). 2023/01, Vol. 69, Issue 1, p75
  • Document Type:Article
  • Subject Area:Economics
  • Publication Date:2023
  • ISSN:0025-1909
  • DOI:10.1287/mnsc.2022.4364
  • Accession Number:161519106
  • Copyright Statement:Copyright of Management Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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