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Prediction of IBNR and RBNS Liabilities using Estimated Delay Probabilities by a Zero-Inflated Gamma Mixture Model
  • Fatemeh Atatalab,
  • Amir Payandeh
Fatemeh Atatalab
Shahid Beheshti University
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Amir Payandeh
Shahid Beheshti University

Corresponding Author:[email protected]

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Abstract

This article considers the problem of predicting the amount/number of claims that have been incurred but not reported, say IBNR, and reported but not settled, say RBNS. Using the delay probabilities, calculated by the ZIGM distribution, it predicts both IBNR’s and RBNS’ loss reserves and the corresponding mean square error. The practical application of our findings are applied against a real data.