Moral Hazard and the Optimality of Debt

Benjamin Hebert

The Review of Economic Studies, 2018, vol. 85, issue 4, 2214-2252

Abstract: I show that, in a benchmark model, debt securities minimize the welfare losses associated with the moral hazards of excessive risk-taking and lax effort. For any security design, the variance of the security payoff is a statistic that summarizes these welfare losses. Debt securities have the least variance, among all limited liability securities with the same expected value. In other models, mixtures of debt and equity are exactly optimal, and pure debt securities are approximately optimal. I study both static and dynamic security design problems, and show that these two types of problems are equivalent. I use moral hazard in mortgage lending as a recurring example, but my results apply to other corporate finance and principal-agent problems.

Keywords: Security design; Moral hazard; Optimal contracts (search for similar items in EconPapers)
JEL-codes: D86 G32 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1093/restud/rdx080 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Moral Hazard and the Optimality of Debt (2015)
Working Paper: Moral Hazard and the Optimality of Debt (2014)
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:restud:v:85:y:2018:i:4:p:2214-2252.

Access Statistics for this article

The Review of Economic Studies is currently edited by Thomas Chaney, Xavier d’Haultfoeuille, Andrea Galeotti, Bård Harstad, Nir Jaimovich, Katrine Loken, Elias Papaioannou, Vincent Sterk and Noam Yuchtman

More articles in The Review of Economic Studies from Review of Economic Studies Ltd
Bibliographic data for series maintained by Oxford University Press ().