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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Autors principals:	Negar Tehraniyazdi, Reza Vaezi, Saeed Setayeshi, Iman Raeesi Vanani
Format:	Artigo
Idioma:	Persa
Publicat:	University of Tehran 2024-12-01
Col·lecció:	تحقیقات مالی
Matèries:	insurance commitments machine learning long short-term memory (lstm) hyperparameter tuning overfitting
Accés en línia:	https://jfr.ut.ac.ir/article_97319_239d7ab04ee1f7f2affaba07a1a521c0.pdf
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