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Original Articles

On a discrete version of the CIR process

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Pages 1276-1291 | Received 12 Jan 2012, Accepted 05 Oct 2012, Published online: 29 Nov 2012
 

Abstract

We consider the so-called gambler's ruin problem for a discrete-time Markov chain that converges to a Cox–Ingersoll–Ross (CIR) process. Both the probability that the chain will hit a given boundary before the other and the average number of transitions needed to end the game are computed explicitly. Furthermore, we show that the quantities that we obtained tend to the corresponding ones for the CIR process. A real-life application to a problem in hydrology is presented.

Acknowledgement

The authors are grateful to the anonymous reviewers for their constructive comments.

Notes

Additional information

Notes on contributors

Moussa Kounta

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