Portfolio item number 1
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Posts by Collection
portfolio
publications
The IA|BE 2020 mortality projection model for the Belgian population
Antonio, K., Devriendt, S. & Robben, J. (2020). The IA|BE 2020 mortality projection model for the Belgian population. Published by the Institute of Actuaries in Belgium.
Assessing the impact of COVID-19 on the IA|BE 2020 mortality projections: a scenario analysis
Antonio, K., Devriendt, S. & Robben, J. (2020). The IA|BE 2020 mortality projection model for the Belgian population. Published by the Institute of Actuaries in Belgium.
Insurance pricing analytics - a research perspective
May 2021 - Keynote delivered during FinTech workshop, organized for employees of the FSMA, the Financial Services and Markets Authority in Belgium.
Assessing the impact of the COVID-19 shock on a stochastic multi-population mortality model
Robben, J., Antonio, K., & Devriendt, S. (2022). Assessing the Impact of the COVID-19 Shock on a Stochastic Multi-Population Mortality Model. Risks.
A hierarchical reserving model for reported non-life insurance claims
Crevecoeur, J., Robben, J., & Antonio, K. (2022). A hierarchical reserving model for reported non-life insurance claims. Insurance: Mathematics and Economics.
Insurance pricing with hierarchically structured data: An illustration with a workers compensation insurance portfolio
Campo B.D.C., Antonio, K. (2023). Insurance pricing with hierarchically structured data: An illustration with a workers compensation insurance portfolio. Scandinavian Actuarial Journal. [WorkComp] [IDS] [NonLifeIP]
Data-driven preventive maintenance for a heterogeneous machine portfolio
Deprez, L., Antonio, K., Arts, J. & Boute, R. (2023). Data-driven preventive maintenance for a heterogeneous machine portfolio. Operations Research Letters.. [DSOpsMa]
Bridging the gap between pricing and reserving with an occurrence and development model for non-life insurance claims.
Crevecoeur, J., Antonio, K., Desmedt, S., Masquelein, A. (2023). Bridging the gap between pricing and reserving with an occurrence and development model for non-life insurance claims. ASTIN Bulletin: the Journal of the International Actuarial Association. [ClResNLI] [NonLifeIP]
Catastrophe risk in a stochastic multi-population mortality model
Robben, J., & Antonio, K. (2024). Catastrophe risk in a stochastic multi-population mortality model. Journal of Risk and Insurance.
On clustering levels of a hierarchical categorical risk factor
Campo, B.D C., Antonio, K. (2024). On clustering levels of a hierarchical categorical risk factor. Annals of Actuarial Science.
Responsible actuarial learning
September 2024 - Keynote delivered during 115th annual meeting of the Swiss Actuarial Association in Bern.
The short-term association between environmental variables and mortality: evidence from Europe
September 2024 - Keynote delivered during online workshop of Actuarial Society of South Africa.
Responsible actuarial learning
September 2024 - Keynote delivered in Brussels during JoCo, the Joint Colloquium all sections of the International Actuarial Association (IAA) (ASTIN, AFIR-ERM, IACA, IAALS, IAAHS and PBSS).
Reducing the dimensionality and granularity in hierarchical categorical variables
Wilsens, P., Antonio, K., Claeskens, G. (2024). Reducing the dimensionality and granularity in hierarchical categorical variables. Advances In Data Analysis And Classification.
An engine to simulate insurance fraud network data
Bavo Campo and Katrien Antonio (2025). An engine to simulate insurance fraud network data. European Actuarial Journal.
The skin-in-the-game bond: a novel sustainable capital instrument
Antonio, K., De Spiegeleer, J., Schoutens, W., Verschueren, E. (2025). The skin-in-the-game bond: a novel sustainable capital instrument. In: The Cambridge Handbook of EU Sustainable Finance: Regulation, Supervision and Governance.
Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff.
Freek Holvoet, Katrien Antonio, Roel Henckaerts (2025). Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff. North Americal Actuarial Journal.
The Use of IoT Sensor Data to Dynamically Assess Maintenance Risk in Service Contracts.
Loeys, S., Boute, R., Antonio, K. (2025). The Use of IoT Sensor Data to Dynamically Assess Maintenance Risk in Service Contracts.European Journal Of Operational Research.
The short-term association between environmental variables and mortality: evidence from Europe
Robben, J., Antonio, K., Kleinow, T. (2025). The short-term association between environmental variables and mortality: evidence from Europe. Journal of the Royal Statistical Society, Series A.
talks
teaching
Advanced Life Insurance Mathematics
Course in the MSc in Actuarial and Financial Engineering, KU Leuven, 2014
Data Science for Non-Life Insurance
Course in the MSc in Actuarial and Financial Engineering, KU Leuven, 2014
Loss Models
Course in the MSc in Actuarial and Financial Engineering, KU Leuven, 2014