Debt overhang and credit risk in a business cycle model
Filippo Occhino and
Andrea Pescatori ()
No 1003, Working Papers (Old Series) from Federal Reserve Bank of Cleveland
Abstract:
We study the macroeconomic implications of the debt overhang distortion. In our model, the distortion arises because investment is non-contractible?when a firm borrows funds, the debt contract cannot specify or depend on the firm?s future level of investment. After the debt contract is signed, the probability that the firm will default on its debt obligation acts like a tax that discourages its new investment, because the marginal benefit of that investment will be reaped by the creditors in the event of default. We show that the distortion moves countercyclically: It increases during recessions, when the risk of default is high. Its dynamics amplify and propagate the effects of shocks to productivity, government spending, volatility and funding costs. Both the size and the persistence of these effects are quantitatively important. The model replicates important features of the joint dynamics of macro variables and credit risk variables, like default rates, recovery rates and credit spreads.
Keywords: Corporations - Finance; Debt; Business cycles; Risk (search for similar items in EconPapers)
Date: 2010
New Economics Papers: this item is included in nep-ban, nep-bec and nep-dge
References: Add references at CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
https://www.clevelandfed.org/newsroom-and-events/p ... ess-cycle-model.aspx Full text (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:fip:fedcwp:1003
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Working Papers (Old Series) from Federal Reserve Bank of Cleveland Contact information at EDIRC.
Bibliographic data for series maintained by 4D Library ().