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Markov chain models for delinquency: Transition matrix estimation and forecasting

โœ Scribed by Scott D. Grimshaw; William P. Alexander


Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
214 KB
Volume
27
Category
Article
ISSN
1524-1904

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A Markov chain is a natural probability model for accounts receivable. For example, accounts that are 'current' this month have a probability of moving next month into 'current', 'delinquent' or 'paid-off' states. If the transition matrix of the Markov chain were known, forecasts could be formed for

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Discrete-time Markov chains have been successfully used to investigate treatment programs and health care protocols for chronic diseases. In these situations, the transition matrix, which describes the natural progression of the disease, is often estimated from a cohort observed at common intervals.