A Study on Literary Works With Credit Risk Modeling: Improvement With the Latest Decade

Recent advancements in credit risk modeling for literary works

Authors

  • K. Vaidya Nathan CMJ University Author

Keywords:

literary works, credit risk modeling, growth, selecting articles, abridging effects, logit model, JEL codes, research methods, updates, static single level models, dynamic portfolio models

Abstract

Thispaper follow the growths of credit risk modeling in later 10 years. Our meetexpectations is partitioned into two parts: selecting articles and abridgingeffects. On the one hand, by assembling a requested logit show on chronicledJournal of Economic Literature (JEL) codes of articles on credit risk modeling,we select articles exceedingly identified with our theme. It is demonstratedthat the JEL codes have ended up being the standard to group examines in creditrisk modeling. Moreover, contrasting and the established survey Altman andSaunders (1998), we show that some paramount updates of exploration systemshave risen as of late. The principle finding is that present concentrates oncredit risk modeling have moved from static single level models to dynamicportfolio models.

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Published

2013-02-01