Impact of Bonus-Malus System Refinements on Time-To-Accident in Armenia’s Cmtpl Insurance: A Survival Analysis Approachal Analysis Approach

Authors

DOI:

https://doi.org/10.46991/BYSU.G.2025.16.2.105

Keywords:

Bonus-Malus System, CMTPL Insurance, Survival Analysis, Risk Classification, Behavioral Incentives

Abstract

This article investigates the impact of recent reforms in Armenia’s Bonus-Malus (BM) system on the time-to-accident among Compulsory Motor Third-Party Liability (CMTPL) policyholders. Specifically, it evaluates whether the 2022 introduction of claim severity adjustments influenced policyholder behavior across different risk groups. Utilizing survival analysis methods on a dataset comprising over 2.3 million insurance contracts, the research identifies statistically significant improvements in accident-free durations post-reform. Results reveal that policyholders in certain vehicle categories and risk classes exhibited behavioral shifts, while others, such as public transport drivers and individuals in extreme BM classes, did not. Policyholder’s gender emerged as a statistically significant risk factor, with female drivers showing consistently lower accident-free times. The findings underscore the effectiveness of claim severity-based malus policies and suggest that further personalization for example through telematics, can enhance fairness and incentivize safer driving

Author Biographies

  • Anahit Gulyan, Yerevan State University

    PhD, Associate Professor, Chair of Actuarial and Financial Mathematics, Faculty of Mathematics and Mechanics

  • Yelena Gevorgyan, Yerevan State University

     

    Master of Mathematics, Chair of Actuarial and Financial Mathematics, Faculty of Mathematics and Mechanics

References

AMIB. (2025). Retrieved from https://appa.am/

ASWA. (2025). Retrieved from https://aswa.am/

Chitchyan, R., & Gulyan, A. (2015). A BONUS-MALUS SYSTEM WITH AGGREGATE CLAIM AMOUNT COMPONENT. Journal of Contemporary Mathematical Analysis (Armenian Academy of Sciencies), 74-88.

Meyers, G., & Hoyweghen, I. V. (2017). Enacting Actuarial Fairness in Insurance: From Fair Discrimination to Behaviour-based Fairness. Science as Culture, 1-27.

Nag, A. (2022). Survival Analysis with Python. Taylor & Francis Group, LLC.

OECD. (2021). Retrieved from https://www.oecd.org/finance/Gender-Insurance-2021.pdf

StatsDirect. (2025). Retrieved from https://www.statsdirect.com/help/survival_analysis/logrank.htm

Downloads

Published

2025-12-24

Issue

Section

Economic and mathematical modeling

How to Cite

Gulyan, A., & Gevorgyan, Y. (2025). Impact of Bonus-Malus System Refinements on Time-To-Accident in Armenia’s Cmtpl Insurance: A Survival Analysis Approachal Analysis Approach. Bulletin of Yerevan University G: Economics, 16(2(46), 105-112. https://doi.org/10.46991/BYSU.G.2025.16.2.105