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Modeling Frailty Correlated Defaults With Multivariate Latent Factors
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The 29 checked references that resolve
resolves10.1016/j.jbankfin.2013.11.036
Default prediction with dynamic sectoral and macroeconomic frailties
resolves10.2139/ssrn.3273985
Can Machine Learning Models Capture Correlations in Corporate Distresses?
resolves10.1111/j.2517-6161.1977.tb01600.x
Maximum Likelihood from Incomplete Data Via the
<i>EM</i>
Algorithm
resolves10.2139/ssrn.2151174
Multiperiod Corporate Default Prediction with the Partially-Conditioned Forward Intensity
resolves10.1016/j.jeconom.2012.05.002
Multiperiod corporate default prediction—A forward intensity approach
resolves10.1016/j.jfineco.2005.10.011
Multi-period corporate default prediction with stochastic covariates
resolves10.1016/j.jeconom.2011.02.003
Modeling frailty-correlated defaults using many macroeconomic covariates
resolves10.1080/07350015.2012.700859
Dynamic Factor Models With Macro, Frailty, and Industry Effects for U.S. Default Counts: The Credit Crisis of 2008
resolves10.1016/j.jfi.2010.03.002
Correlation in corporate defaults: Contagion or conditional independence?
resolves10.1093/biomet/asq062
Particle approximations of the score and observed information matrix in state space models with application to parameter estimation
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no DOI — not checkedCyclicality and firm size in private firm defaults
no DOI — not checkedref29
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