International Journal of Statistics and Applied Mathematics
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2022, Vol. 7, Issue 4, Part C

Credit risk measurement and management using a multivariate Markov chain model


Author(s): Kurui Godfrey Kipkoech

Abstract: The application on logistic regression has been done on classification and determination of influences that affects the behavior of consumer score. One type of logistic - regression is the cumulative logistic - regression that has the latent - variable linking the functions that determines the consumers’ behavior score that are dynamic in nature. The multivariate logistic - regression that describes the dependent nature of credit - risk of an asset is a given asset or portfolio. This paper takes on the credibility theory combining the transitional application that is credit bureau alongside behavioral transitional matrix that is obtained from the performance of consumer and its experience.

Pages: 190-195 | Views: 429 | Downloads: 13

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Kurui Godfrey Kipkoech. Credit risk measurement and management using a multivariate Markov chain model. Int J Stat Appl Math 2022;7(4):190-195.

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