Corporate Loan Spreads and Economic Activity
Abstract We investigate the predictive power of loan spreads for forecasting business cycles, specifically focusing on more constrained, intermediary-reliant firms. We introduce a novel loan-market-based credit spread constructed using secondary corporate loan-market prices over the 1999 to 2023 period. Loan spreads significantly enhance the prediction of macroeconomic outcomes, outperforming other credit-spread indicators. We also explore the underlying mechanisms and differentiate between borrower fundamentals and financial frictions. Evidence suggests that supply-side frictions are a decisive factor in the forecasting ability of loan spreads.
Authors
- Daniel Streitz (ORCID: https://orcid.org/0000-0001-8585-7457)
- Sascha Steffen
- Alessandro Spina
- Anthony Saunders
Institutions
- University of Technology Sydney (AU)
- Halle Institute for Economic Research (DE)
- Copenhagen Business School (DK)
- New York University (US)
- Frankfurt School of Finance & Management (DE)
- Friedrich Schiller University Jena (DE)
Publication Details
- Journal
- Review of Financial Studies
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1093/rfs/hhae084
- Citations
- 19
- Primary Topic
- Banking stability, regulation, efficiency
- Type
- article
- Field-Weighted Citation Impact
- 7.01
Funders
- Deutsche Forschungsgemeinschaft
- Danmarks Grundforskningsfond