Forecasting Insurance Company Commitments with Long Short-Term Memory Models

Forecasting Insurance Company Commitments with Long Short-Term Memory Models

ObjectiveThis study aims to present a novel model for predicting the future commitments of insurance companies that can adequately address the potential challenges of traditional methods. Traditionally, insurance companies use the Chain Ladder approach as a statistical tool to forecast the trend of...

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Bibliographic Details
Main Authors: Negar Tehraniyazdi, Reza Vaezi, Saeed Setayeshi, Iman Raeesi Vanani
Format: Article
Language:fas
Published: University of Tehran 2024-12-01
Series:تحقیقات مالی
Subjects:
insurance commitments
machine learning
long short-term memory (lstm)
hyperparameter tuning
overfitting
Online Access:https://jfr.ut.ac.ir/article_97319_239d7ab04ee1f7f2affaba07a1a521c0.pdf
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