Insurance Risk Engineering Application through Monte Carlo Simulation

This paper investigates the insurance risks associated with overhead transmission towers exposed to high-speed winds in specific regions and estimates the corresponding insurance premium. The study focuses on engineering insurance, an essential tool for mitigating potential losses and ensuring the solvency of insurance companies. Despite its significance, the practical application of engineering insurance remains limited. To address this gap, the paper employs the Monte Carlo Simulation method to predict the reliability of transmission towers under extreme weather conditions. By estimating the expectation of claims with simulation methods, the study calculates the potential loss and determines the minimum premium required to maintain the insurance company's solvency. The knowledge gained from this study can inform decision-making processes, strengthen infrastructure, and enhance the overall stability of insurance companies operating in the engineering insurance domain.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icpea63589.2024.10785095
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Insurance Risk Engineering Application through Monte Carlo Simulation

J. Liu, Shaoming Zhi
Insurance, Mortality, Demography, Risk Management
article

Insurance Risk Engineering Application through Monte Carlo Simulation

J. Liu, Shaoming Zhi
article en

Abstract

This paper investigates the insurance risks associated with overhead transmission towers exposed to high-speed winds in specific regions and estimates the corresponding insurance premium. The study focuses on engineering insurance, an essential tool for mitigating potential losses and ensuring the solvency of insurance companies. Despite its significance, the practical application of engineering insurance remains limited. To address this gap, the paper employs the Monte Carlo Simulation method to predict the reliability of transmission towers under extreme weather conditions. By estimating the expectation of claims with simulation methods, the study calculates the potential loss and determines the minimum premium required to maintain the insurance company's solvency. The knowledge gained from this study can inform decision-making processes, strengthen infrastructure, and enhance the overall stability of insurance companies operating in the engineering insurance domain.

New York University (US), Columbia University (US)
Decent work and economic growth
Openalex Percentile: Top 55%
Insurance, Mortality, Demography, Risk Management
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.

Insurance Risk Engineering Application through Monte Carlo Simulation — J. Liu, Shaoming Zhi · (2024) | TGRS Research Map | TGRS