Robo-advisory services in the insurance sector under the EU regulatory framework

Piotr Tereszkiewicz & Szymon Skalski

The Geneva Papers on Risk and Insurance - Issues and Practice2025https://doi.org/10.1057/s41288-025-00358-zarticle
AJG 2ABDC B
Weight
0.37

What the paper says

Abstract The paper explores robo-advisors under the European Union regulatory framework in the insurance sector. The article aims to analyse the framework established at the EU level with a view to its assumptions and possible implications for the self-determination of users deploying the services of robo-advisors. Specifically, the article analyses how the EU regulatory framework promotes or hinders user self-determination in deploying robo-advisory services. The article sets out by examining technological foundations of robo-advisors and their data-driven decision-making processes. Subsequently, it analyses respective EU legal frameworks governing robo-advisors and assesses user online experience, from the initial login to receiving product recommendations or referrals to different providers. In conclusion, the article analyses different regulatory approaches with a view to ensuring a high level of protection for user of robo-advisory services in the insurance sector.

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https://doi.org/https://doi.org/10.1057/s41288-025-00358-z

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@article{piotr2025,
  title        = {{Robo-advisory services in the insurance sector under the EU regulatory framework}},
  author       = {Piotr Tereszkiewicz & Szymon Skalski},
  journal      = {The Geneva Papers on Risk and Insurance - Issues and Practice},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1057/s41288-025-00358-z},
}

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Robo-advisory services in the insurance sector under the EU regulatory framework

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.