Activities

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Registrations open until June 20, 2025.

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“How does granularity affect motor insurance claim predictions in a telematics setting?” – Juan Sebastián Yáñez, Universitat de Barcelona
Abstract: Telematics data have tremendously impacted the development of fairer and more precise motor insurance products, such as Pay-How-You-Drive (PHYD) insurance policies. This is because telematics data’s accurate and granular nature allows insurers to dynamically estimate accident risk levels based on a client’s driving behaviour and risk exposure. However, the collection of this information significantly deviates from traditional motor insurance policies based on non-telematics covariates, which are not observed dynamically as clients drive. This paper aims to bridge the gap between classical non-telematics models and their more modern counterparts by studying various levels of granularity in telematics data sets (e.g., data collected weekly, monthly, or annually). Therefore, it provides insight into the trade-off between more granular and dynamic telematics structures, such as weekly models, and less granular structures that are more akin to classical insurance models. This study benefits from having access to telematics data from a major Spanish insurer, allowing us to investigate driving behaviors and accident patterns among 17,405 policyholders over two years (2017-2018). The dataset includes demographic and telematics variables, providing a comprehensive basis for understanding accident frequency dynamics.

“Stochastic Dominance and Financial Pricing in Peer-to-Peer Insurance” – Professor Hato Schmeiser, University of St.Gallen
Abstract: This paper studies the economic benefits of risk pooling with dependent and heterogeneous losses. We characterize peer-to-peer insurance contracts that are consistent with financial pricing in incomplete markets and a second-order stochastic dominance requirement. Then conditions under which the proposed contract design generates utility benefits for all risk-averse agents are derived. We identify necessary moment conditions on the systematic and the unsystematic risk of the losses being pooled. Moreover, we establish sufficient conditions related to the agent’s background risk. The results provide new insights into the design and benefits of risk pooling solutions that require only very limited information about the joint loss distribution and the agents’ preferences.

Registration required, contact calleja@ub.edu

Lecturers of National University of Laos (NUOL):

• Dr Phouphet Kyophilavong, Vice-President of the National University of Laos: expert in ASEAN countries in the fields of natural resources management, environment, trade and investment. He has worked closely with national organizations and government agencies in Laos, and with international organizations such as the ADB, OECD, WTO and World Bank.
• Dr Vadsana Chanthanasinh: expert in the impact of trade Tariff and Non-Tariff Measures.
• Dr Alay Phonvisay: expert in the Influence of Chinese Investment in the Mining Sector and in agrobusiness in Laos.
• Dr  Bounmy Inthakesone: expert in ASEAN Economic Development.

Advisor:
Monica Serrano

Thesis Committee
Chair: Dr. Rosa Duarte Pac, University of Zaragoza
Secretary: Dr. André Carrascal Incera, University of Oviedo
Member: Dr. Ariel Wirkierman, University of Macerat

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Advisor:
Sergi Basco

Thesis Committee
Chair: Dr. Paula Bustos (Universitat Pompeu Fabra)
Secretary: Dr. Bruno Delalibera (Universitat de Barcelona)
Member: Dr. Héctor Sala (Universitat Autònoma de Barcelona) 

In case you want to attend the thesis defense, please register here.

More information HERE.