Tamkang University Researcher Adds New Data to Research in Mathematics (Decoding the Profitability of Insurance Products: A Novel Approach to Evaluating Non-Participating and Participating Insurance Policies): Mathematics

2023 JUL 13 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Researchers detail new data in mathematics. According to news originating from Tamkang University by NewsRx correspondents, research stated, “This study presents a novel approach to analyzing the present value of total profit for non-participating and participating insurance policies in order to determine the optimal profitability of non-participating and participating insurance policies based on applying the approach used in operations research to the field of finance.”

Our news reporters obtained a quote from the research from Tamkang University: “As such, a comprehensive insurance product evaluation model was developed using both mathematical models and numerical analysis to evaluate the demand for non-participating and participating life insurance policies in response to changes in interest rates. The findings indicate that non-participating life insurance policies offer greater solvency for insurance companies compared to participating policies.”

According to the news editors, the research concluded: “The study also highlights the significance of spontaneous and induced demand in determining the total profit of both types of policies. The study concludes that life insurance companies should focus on generating spontaneous consumer demand, reducing induced demand, and implementing the optimal pricing strategy to achieve maximum profits.”

For more information on this research see: Decoding the Profitability of Insurance Products: A Novel Approach to Evaluating Non-Participating and Participating Insurance Policies. Mathematics, 2023,11(13). (Mathematics - http://www.mdpi.com/journal/mathematics). The publisher for Mathematics is MDPI AG.

A free version of this journal article is available at https://doi.org/10.3390/math11132926.

Our news journalists report that more information may be obtained by contacting Chih-Te Yang, Department of Business Administration, Tamkang University, New Taipei City 251301, Taiwan. Additional authors for this research include Yensen Ni, Mu-Hsiang Yu, Yuhsin Chen, Paoyu Huang.

ORCID is an identifier for authors and includes bibliographic information. The following is ORCID information for the authors of this research: Chih-Te Yang (http://orcid.org/0000-0001-7234-3107), Yensen Ni (http://orcid.org/0000-0003-1980-591X), Paoyu Huang (http://orcid.org/0000-0003-4024-7510).

(Our reports deliver fact-based news of research and discoveries from around the world.)