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We propose a different dynamic modeling framework for credit rating chance evaluation that extends the prevailing credit rating scoring types built on historic facts static settings. The driving thought mimics the principle of films, by composing the design using a sequence of snapshots, in lieu of one photograph. In doing this, the dynamic modelin… Read More

Survival models with time-various covariates (TVCs) are broadly used in the literature on credit rating risk prediction. On the other hand, when these covariates are endogenous, the inclusion process is restricted to methods including lagging these variables or managing them as exogenous. That brings about doable biased estimators (depending upon t… Read More

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