Discrete‐Time Risk Model With Time‐Varying Premiums: Analysis of Ruin Probabilities

ABSTRACT Our paper explores a discrete‐time risk model with time‐varying premiums, investigating two types of correlated claims: main claims and by‐claims. Settlement of the by‐claims can be delayed for up to two time periods, representing real‐world insurance practices. We examine a premium principle based on reported claims, using recursively computable finite‐time ruin probabilities to evaluate the performance of time‐varying premiums. Our findings suggest that, under specific assumptions, a higher probability of by‐claim settlement delays leads to lower ruin probabilities. Moreover, a stronger correlation between main claims and their associated by‐claims results in higher ruin probabilities.

Authors

Institutions

Publication Details

Journal
Applied Stochastic Models in Business and Industry
Published
2024-12-27
DOI
https://doi.org/10.1002/asmb.2915
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discrete‐Time Risk Model With Time‐Varying Premiums: Analysis of Ruin Probabilities

Xueyuan Wu, Dhiti Osatakul, Shuanming Li
Applied Stochastic Models in Business and Industry
Probability and Risk Models
article

Discrete‐Time Risk Model With Time‐Varying Premiums: Analysis of Ruin Probabilities

Xueyuan Wu, Dhiti Osatakul, Shuanming Li
article en

Abstract

ABSTRACT Our paper explores a discrete‐time risk model with time‐varying premiums, investigating two types of correlated claims: main claims and by‐claims. Settlement of the by‐claims can be delayed for up to two time periods, representing real‐world insurance practices. We examine a premium principle based on reported claims, using recursively computable finite‐time ruin probabilities to evaluate the performance of time‐varying premiums. Our findings suggest that, under specific assumptions, a higher probability of by‐claim settlement delays leads to lower ruin probabilities. Moreover, a stronger correlation between main claims and their associated by‐claims results in higher ruin probabilities.

Applied Stochastic Models in Business and IndustryVol. 42(2)
Chulalongkorn University (TH), The University of Melbourne (AU)
Decent work and economic growth
Openalex Percentile: Top 70%
Probability and Risk Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.