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Tests for Group-Specific Heterogeneity in High-Dimensional Factor Models
Standard high-dimensional factor models assume that the comovements in a large set of variables could be modeled using a small number of latent factors that affect all variables.
Composite Likelihood for Stochastic Migration Model with Unobserved Factor
We introduce the conditional Maximum Composite Likelihood (MCL) estimation method for the stochastic factor ordered Probit model of credit rating transitions of firms.
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