We test the doubly stochastic assumption under which firms’ default times are correlated only as implied by the correlation of factors determining their default intensities. Using data on U.S. corporations from 1979 to 2004, this assumption is violated in the presence of contagion or “frailty” (unobservable explanatory variables that are correlated across firms). Our tests do not depend on the time-series properties of default intensities. The data do not support the joint hypothesis of well-specified default intensities and the doubly stochastic assumption. We find some evidence of default clustering exceeding that implied by the doubly stochastic model with the given intensities.
-
Faculty
- Academic Areas
- Awards & Honors
- Seminars
-
Conferences
- Accounting Summer Camp
- California Econometrics Conference
- California Quantitative Marketing PhD Conference
- California School Conference
- China India Insights Conference
- Homo economicus, Evolving
-
Initiative on Business and Environmental Sustainability
- Political Economics (2023–24)
- Scaling Geologic Storage of CO2 (2023–24)
- A Resilient Pacific: Building Connections, Envisioning Solutions
- Adaptation and Innovation
- Changing Climate
- Civil Society
- Climate Impact Summit
- Climate Science
- Corporate Carbon Disclosures
- Earth’s Seafloor
- Environmental Justice
- Finance
- Marketing
- Operations and Information Technology
- Organizations
- Sustainability Reporting and Control
- Taking the Pulse of the Planet
- Urban Infrastructure
- Watershed Restoration
- Junior Faculty Workshop on Financial Regulation and Banking
- Ken Singleton Celebration
- Marketing Camp
- Quantitative Marketing PhD Alumni Conference
- Rising Scholars Conference
- Theory and Inference in Accounting Research
- Voices
- Publications
- Books
- Working Papers
- Case Studies
- Postdoctoral Scholars
-
Research Labs & Initiatives
- Cities, Housing & Society Lab
- Corporate Governance Research Initiative
- Corporations and Society Initiative
- Golub Capital Social Impact Lab
- Initiative for Financial Decision-Making
- Policy and Innovation Initiative
- Rapid Decarbonization Initiative
- Stanford Latino Entrepreneurship Initiative
- Value Chain Innovation Initiative
- Venture Capital Initiative
- Behavioral Lab
- Data, Analytics & Research Computing