Banks’ Risk Dynamics and Distance to Default
Stefan Nagel and
Amiyatosh Purnanandam
The Review of Financial Studies, 2020, vol. 33, issue 6, 2421-2467
Abstract:
We adapt structural models of default risk to take into account the special nature of bank assets. The usual assumption of lognormally distributed asset values is not appropriate for banks. Typical bank assets are risky debt claims with concave payoffs. Because of the payoff nonlinearity, bank asset volatility rises following negative shocks to borrower asset values. As a result, standard structural models with constant asset volatility can severely understate banks’ default risk in good times when asset values are high. Additionally, bank equity return volatility is much more sensitive to negative shocks to asset values than in standard structural models.
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://hdl.handle.net/10.1093/rfs/hhz125 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Bank risk dynamics and distance to default (2019) 
Working Paper: Bank Risk Dynamics and Distance to Default (2019) 
Working Paper: Bank Risk Dynamics and Distance to Default (2019) 
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:oup:rfinst:v:33:y:2020:i:6:p:2421-2467.
Ordering information: This journal article can be ordered from
https://academic.oup.com/journals
Access Statistics for this article
The Review of Financial Studies is currently edited by Itay Goldstein
More articles in The Review of Financial Studies from Society for Financial Studies Oxford University Press, Journals Department, 2001 Evans Road, Cary, NC 27513 USA.. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().