271
Views
1
CrossRef citations to date
0
Altmetric
Article

Poisson-Gamma mixture processes and applications to premium calculation

ORCID Icon
Pages 5913-5936 | Received 05 Apr 2020, Accepted 09 Nov 2020, Published online: 30 Nov 2020
 

Abstract

In the paper, Poisson-Gamma mixture process is first brought forward, which is dynamically expanded from the well-known Poisson-Gamma mixture model. Some properties on Poisson-Gamma mixture process are presented, including the distribution of increment, Markov property, infinitesimal generator, joint density function of jump/waiting times, and the limit distribution of compound Poisson-Gamma mixture process, etc., which provide a thorough grounding in application of Poisson-Gamma mixture process. At last, some premium calculation principles are presented to show the application of Poisson-Gamma mixture process, which include expected value premium, stop-loss premium, mean-variance premium, and exponential premium.

2000 MR Subject Classification:

Acknowledgements

The author would like to thank the anonymous referees for their careful review, comments, and feedback on the manuscript.

Additional information

Funding

This paper is supported by the National Natural Science Foundation of China (No.11471120) and the Science and Technology Commission of Shanghai Municipality (Grant No. 19JC1420100).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,069.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.