EconPapers    
Economics at your fingertips  
 

An Excursion-Theoretic Approach to Regulator’s Bank Reorganization Problem

Masahiko Egami () and Tadao Oryu ()
Additional contact information
Masahiko Egami: Graduate School of Economics, Kyoto University, Kyoto, 606-8501, Japan
Tadao Oryu: Graduate School of Economics, Kyoto University, Kyoto, 606-8501, Japan

Operations Research, 2015, vol. 63, issue 3, 527-539

Abstract: The importance of the global financial system cannot be exaggerated. When a large financial institution becomes problematic and is bailed out, that bank is often claimed as “too big to fail.” On the other hand, to prevent bank’s failure, regulatory authorities adopt the Prompt Corrective Action (PCA) against a bank that violates certain criteria, often measured by its leverage ratio. In this article, we provide a framework where one can analyze the cost and effect of PCAs. We model a large bank that has deteriorating assets and regulatory actions attempting to prevent the bank’s failure. The model uses the excursion theory of Lévy processes and finds an optimal leverage ratio that triggers a PCA. A nice feature includes that it incorporates the fact that social cost associated with PCAs are greatly affected by the size of banks subject to PCAs. In other words, one can see the cost of rescuing a bank that is too big to fail.

Keywords: prompt corrective actions; excursion theory; spectrally negative Lévy processes; scale functions (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.2015.1371 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:63:y:2015:i:3:p:527-539

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:oropre:v:63:y:2015:i:3:p:527-539