|
|
| Risks期刊“保险与风险”领域精选文章| MDPI 编辑荐读 |
|
期刊名：Risks
期刊主页：https://www.mdpi.com/journal/risks
本次从Risks期刊精选 10 篇 2026 年保险与风险领域高质量论文，欢迎广大读者阅读学习、把握领域研究新进展。本刊亦持续征集优质原创稿件，诚挚欢迎各位学者踊跃投稿！
如需获取更多优质论文与领域前沿研究动态，欢迎访问期刊官网并订阅更新。
1. Model Averaging and Grid Maps for Modeling Heavy-Tailed Insurance Data
重尾保险数据建模的模型平均与网格映射方法研究
https://www.mdpi.com/2227-9091/14/1/11
Mothibe, L.B.; Shongwe, S.C. Model Averaging and Grid Maps for Modeling Heavy-Tailed Insurance Data.Risks2026, 14,11.https://doi.org/10.3390/risks14010011
2. Digital Transformation in the Insurance Industry: Challenges and Strategic Insights
保险行业的数字化转型：挑战与战略启示
https://www.mdpi.com/2227-9091/14/5/105
Malifete, L.; Mushavhanamadi, K.; Adekunle, S.; Aigbavboa, C. Digital Transformation in the Insurance Industry: Challenges and Strategic Insights.Risks2026, 14,105.https://doi.org/10.3390/risks14050105
3. Insuring Algorithmic Operations: Liability Risk, Pricing, and Risk Control
算法化运营保险保障：责任风险、定价与风险控制
https://www.mdpi.com/2227-9091/14/2/26
Liu, Z.; Park, J.; Wang, M.; Wen, H. Insuring Algorithmic Operations: Liability Risk, Pricing, and Risk Control.Risks2026, 14,26.https://doi.org/10.3390/risks14020026
4. Collusion Between Retailers and Customers: The Case of Insurance Fraud inTaiwan
零售商与客户之间的串通：台湾保险欺诈案例研究
https://www.mdpi.com/2227-9091/14/3/60
Picard, P.; Wang, J.; Wang, K.C. Collusion Between Retailers and Customers: The Case of Insurance Fraud inTaiwan.Risks2026, 14, 60.https://doi.org/10.3390/risks14030060
5. Risk-Informed Machine Learning Models for Renewal Classification in Motor Insurance
基于风险信息的机器学习模型在机动车保险续保分类中的应用
https://www.mdpi.com/2227-9091/14/3/57
Boonkrong, P.; Yang, J.; Huang, X.; Simmachan, T. Risk-Informed Machine Learning Models for Renewal Classification in Motor Insurance.Risks2026, 14,57.https://doi.org/10.3390/risks14030057
6. Advanced Insurance Risk Modeling for Pseudo-New Customers Using Balanced Ensembles and Transformer Architectures
基于平衡集成与Transformer架构的伪新客户保险风险建模研究
https://www.mdpi.com/2227-9091/14/4/91
Solly, F.L.; Soriano-Gonzalez, R.; Juan, A.A.; Guerrero, A. Advanced Insurance Risk Modeling for Pseudo-New Customers Using Balanced Ensembles and Transformer Architectures.Risks2026, 14,91.https://doi.org/10.3390/risks14040091
7. Risk-Sensitive Performance Evaluation of Life Insurance Markets in EU and EEA Countries: A MPSI–CoCoSo Approach
欧盟与欧洲经济区国家寿险市场的风险敏感绩效评价：基于 MPSI–CoCoSo 方法
https://www.mdpi.com/2227-9091/14/4/85
Kaya, N.; Bozcuk, A.E.; Ünal Uyar, G.F.; Özden, M.S.; Terzioglu, M.; Tutcu, B.; Talas H. Risk-Sensitive Performance Evaluation of Life Insurance Markets in EU and EEA Countries: A MPSI–CoCoSo Approach.Risks2026, 14,85.https://doi.org/10.3390/risks14040085
8. Mixed Size-Biased Log-Normal Distribution with Truncated Normal Prior and Its Application in Insurance Ratemaking
带截断正态先验的混合尺寸偏置对数正态分布及其在保险费率厘定中的应用
https://www.mdpi.com/2227-9091/14/3/72
Bae, T.; Kim, J.; Ahn, J.Y. Mixed Size-Biased Log-Normal Distribution with Truncated Normal Prior and Its Application in Insurance Ratemaking.Risks2026, 14,72.https://doi.org/10.3390/risks14030072
9. Longevity Option and Longevity Swap De-Risking Strategies Under Frailty-Based Mortality Models
基于脆弱性死亡率模型的长寿期权与长寿互换去风险策略
https://www.mdpi.com/2227-9091/14/6/124
Carannante, M.; D’Amato, V.; Haberman, S.; Menzietti, M. Longevity Option and Longevity Swap De-Risking Strategies Under Frailty-Based Mortality Models.Risks2026, 14,124.https://doi.org/10.3390/risks14060124
10. Impact of Simultaneous Jumps in Mortality and Asset Markets on GMDB Riders
死亡率与资产市场同步跳跃对保证最低死亡给付（GMDB）附加条款的影响
https://www.mdpi.com/2227-9091/14/5/111
Hassan Zadeh, A.; Rostami, A.; Stankova, K.G. Impact of Simultaneous Jumps in Mortality and Asset Markets on GMDB Riders.Risks2026, 14,111.https://doi.org/10.3390/risks14050111
Risks期刊介绍
主编：Steven Haberman教授，英国伦敦大学，城市圣乔治学院
期刊专注于发表和传播保险和金融风险管理领域的文章。目前已被Scopus、ESCI (Web of Science)、EconLit, EconBiz, RePEc等数据库收录。
2025 Impact Factor: 1.8
2025 CiteScore: 4.5
Time to First Decision: 21.8 Days
Acceptance to Publication: 7.6 Days
特别声明：本文转载仅仅是出于传播信息的需要，并不意味着代表本网站观点或证实其内容的真实性；如其他媒体、网站或个人从本网站转载使用，须保留本网站注明的“来源”，并自负版权等法律责任；作者如果不希望被转载或者联系转载稿费等事宜，请与我们接洽。
