Loss-given-default and macroeconomic conditions
Oana-Maria Georgescu,
Aurea Marques and
Benjamin Galow
No 2954, Working Paper Series from European Central Bank
Abstract:
We study the sensitivity of the realised LGD to macroeconomic conditions by exploring Global Credit’s confidential dataset on observed cash flows from defaulted loans. Given the prolonged duration of loan recovery, spanning several years, and the potential for macroeconomic fluctuations during this time frame, our study explores whether the sensitivity of realised LGD to macroeconomic conditions varies based on the timing of cash flows. We find that, regardless of the cash flow timing, the sensitivity of the LGD to macroeconomic conditions is higher for real-estate secured loans than for unsecured loans. The most relevant macroeconomic variables for the secured LGD are unemployment rate and stock returns, followed by house prices and the long-term interest rate. For unsecured loans, real GDP growth and stock returns are the most relevant predictors. These results may be relevant for both micro and macroprudential policymakers by informing on the procyclicality of risk parameters and bank capital requirements. JEL Classification: G21, G32, G33, E32
Keywords: bankruptcy; banks; business fluctuations; financial risk (search for similar items in EconPapers)
Date: 2024-07
New Economics Papers: this item is included in nep-fdg
Note: 3594456
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.ecb.europa.eu//pub/pdf/scpwps/ecb.wp2954~1d1f8942c9.en.pdf (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:ecb:ecbwps:20242954
Access Statistics for this paper
More papers in Working Paper Series from European Central Bank 60640 Frankfurt am Main, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Official Publications ().