Separating the impact of macroeconomic variables and global frailty in event data
Global frailty is an unobserved macroeconomic variable.� In event data contexts, this unobserved variable is assumed to impact the hazard rate of event arrivals.� Attempts to identify and estimate the path of frailty are complicated when observed macroeconomic variables also impact hazard rates.� It is possible that the impact of the observed macro variables and global frailty can be confused and identification can fail.� In this paper I show that, under appropriate assumptions, the path of global frailty and the impact of observed macro variables can both be recovered.� This approach differs from previous work in that I do not assume frailty follows a specific stochastic process form.� Previous studies identify global frailty by assuming a stochastic form and using a filtering approach.� However, chosen stochastic forms are arbitrary and can potentially lead to poor results.� The method in this paper shows how to recover frailty without these assumptions.� This can serve as a model check to filtering�approaches.� The methods are applied to simulations and an application to corporate default.
|Date of creation:||10 Jul 2013|
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- Azizpour, Shahriar & Giesecke, Kay & Kim, Baeho, 2011. "Premia for correlated default risk," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1340-1357, August.
- Christopher Mayer & Karen Pence & Shane M. Sherlund, 2009.
"The Rise in Mortgage Defaults,"
Journal of Economic Perspectives,
American Economic Association, vol. 23(1), pages 27-50, Winter.
- Sanjiv R. Das & Darrell Duffie & Nikunj Kapadia & Leandro Saita, 2007.
"Common Failings: How Corporate Defaults Are Correlated,"
Journal of Finance,
American Finance Association, vol. 62(1), pages 93-117, 02.
- Sanjiv Das & Darrell Duffie & Nikunj Kapadia & Leandro Saita, 2006. "Common Failings: How Corporate Defaults are Correlated," NBER Working Papers 11961, National Bureau of Economic Research, Inc.
- Darrel Duffie & Leandro Saita & Ke Wang, 2005.
"Multi-Period Corporate Default Prediction With Stochastic Covariates,"
CARF-F-047, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Duffie, Darrell & Saita, Leandro & Wang, Ke, 2007. "Multi-period corporate default prediction with stochastic covariates," Journal of Financial Economics, Elsevier, vol. 83(3), pages 635-665, March.
- Darrell Duffie & Leandro Siata & Ke Wang, 2006. "Multi-Period Corporate Default Prediction With Stochastic Covariates," NBER Working Papers 11962, National Bureau of Economic Research, Inc.
- Darrel Duffie & Leandro Saita & Ke Wang, 2005. "Multi-Period Corporate Default Prediction With Stochastic Covariates," CIRJE F-Series CIRJE-F-373, CIRJE, Faculty of Economics, University of Tokyo.
- Creal, Drew & Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2013.
"Observation driven mixed-measurement dynamic factor models with an application to credit risk,"
Working Paper Series
1626, European Central Bank.
- Drew Creal & Bernd Schwaab & Siem Jan Koopman & André Lucas, 2014. "Observation-Driven Mixed-Measurement Dynamic Factor Models with an Application to Credit Risk," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 898-915, December.
- Drew Creal & Bernd Schwaab & Siem Jan Koopman & Andre Lucas, 2011. "Observation Driven Mixed-Measurement Dynamic Factor Models with an Application to Credit Risk," Tinbergen Institute Discussion Papers 11-042/2/DSF16, Tinbergen Institute.
- Darrell DUFFIE & Andreas ECKNER & Guillaume HOREL & Leandro SAITA, .
"Frailty Correlated Default,"
Swiss Finance Institute Research Paper Series
08-44, Swiss Finance Institute.
- Koopman, Siem Jan & Lucas, André & Schwaab, Bernd, 2011. "Modeling frailty-correlated defaults using many macroeconomic covariates," Journal of Econometrics, Elsevier, vol. 162(2), pages 312-325, June.
- Lando, David & Nielsen, Mads Stenbo, 2010. "Correlation in corporate defaults: Contagion or conditional independence?," Journal of Financial Intermediation, Elsevier, vol. 19(3), pages 355-372, July.
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