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Comparison of Claim Reserves Methods Using Insurance Portfolio Generators [PDF]
Statistika: Statistics and Economy JournalDifferent reserving methods can be used to predict claim values in non-life insurance. This article compares two different methodological approaches to reserving methods, namely, Chain-ladder (the traditional approach to reserving in non-life insurance ...
Petr Vejmělka, Tomáš Cipra
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10.22133/MTLJ.2023.353264.1108
حقوق فناوریهای نوین, 2023 owadays, cyber games are a profitable business with wide economic dimensions, including the property rights of gamers, i.e., “Accounts” and “Points”. Since the producers of cyber games are in a superior position to the gamers, by including terms in terms
Pardis Behbood , Hojjat Mobayen
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Claims reserving in the presence of excess-of-loss reinsurance using micro models based on aggregate data [PDF]
, 2018 This paper addresses a new problem in the literature, which is how to consider reserving issues for a portfolio of general insurance policies when there is excess-of-loss reinsurance.
Antonio +8 more
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Robust bootstrap procedures for the chain-ladder method [PDF]
, 2017 Insurers are faced with the challenge of estimating the future reserves needed to handle historic and outstanding claims that are not fully settled. A well-known and widely used technique is the chain-ladder method, which is a deterministic algorithm. To
Peremans, Kris +3 more
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The American Economist, 1967 R: The volume of excess reserves at the beginning of the evaluation period. D : The volume of new deposit liabilities created during the period. L: The loss of reserves during the period.
Heineke, John, Birch, Eleanor M.
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An Individual Claims History Simulation Machine
Risks, 2018 The aim of this project is to develop a stochastic simulation machine that generates individual claims histories of non-life insurance claims. This simulation machine is based on neural networks to incorporate individual claims feature information.
Andrea Gabrielli, Mario V. Wüthrich
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Prediction of claims in export credit finance: a comparison of four machine learning techniques [PDF]
, 2020 This study evaluates four machine learning (ML) techniques (Decision Trees (DT), Random Forests (RF), Neural Networks (NN) and Probabilistic Neural Networks (PNN)) on their ability to accurately predict export credit insurance claims.
Bartl, M., Krummaker, S.
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CP-GAN: A Cross-Pose Profile Face Frontalization Boosting Pose-Invariant Face Recognition
IEEE Access, 2020 Pose variant or self-occlusion is one of the open issues which severely degrades the performance of pose-invariant face recognition (PIFR). Existing solutions to PIFR either have undesirable generalization based on challenging pose normalization or are ...
Jinjin Liu +3 more
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Information-Based Models for Finance and Insurance [PDF]
, 2010 In financial markets, the information that traders have about an asset is reflected in its price. The arrival of new information then leads to price changes.
Hoyle, Anthony Edward Vickerstaff +1 more
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Ensemble Distributional Forecasting for Insurance Loss Reserving
SSRN Electronic Journal, 2022 Loss reserving generally focuses on identifying a single model that can generate superior predictive performance. However, different loss reserving models specialise in capturing different aspects of loss data. This is recognised in practice in the sense that results from different models are often considered, and sometimes combined.
Avanzi, B, Li, Y, Wong, B, Xian, A
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