Whereas premiums are charged once the insurance policy is underwritten, the corresponding amounts paid by the insurer in execution of the contract may take years to materialise. Meanwhile, the insurer has to maintain claims reserves on the liability side of the balance sheet, representing the money which should be held so as to be able to meet with high confidence all future claims arising from policies currently in force and policies written in the past. This can only be done using a model projecting the future cash flows related to claims payments.


What Detralytics can do for you

Detralytics actuaries can assist your teams in developing tailored solutions, ranging from the clever application of the standard techniques (Chain-Ladder and its GLM versions) to the most innovative individual loss reserving models.

Besides aggregate approach, we have also developed expert systems providing case estimates using techniques inherited from data science.


Detralytics’ experience

Detralytics actuaries not only master the standard loss reserving techniques but also innovate in individual and semi-individual models. They co-authored reference texts on reserving.

Here a short selection of methodological contributions by our senior actuaries:

  • Denuit, M., Robert, C. (2007). Actuariat des Assurances de Personnes: Modélisation, Tarification et Provisionnement. Collection Audit-Actuariat-Assurance, Economica, Paris.
  • Denuit, M., Charpentier, A. (2005). Mathématiques de l’Assurance Non-Vie. Tome II: Tarification et Provisionnement. Collection Economie et Statistique Avancées, Economica, Paris.

Here a selection of scientific papers co-authored by our consultants:

  • Denuit, M., Trufin, J. (2017). Beyond the Tweedie reserving model: The collective approach to loss development. North American Actuarial Journal.
  • Abdallah, A., Boucher, J-P., Cossette, H., Trufin, J. (2016). Sarmanov family of bivariate distributions for multivariate loss reserving analysis. North American Actuarial Journal 20, 184-200.
  • Pigeon, M., Antonio, K., Denuit, M. (2014). Individual loss reserving using paid-incurred data. Insurance: Mathematics and Economics 58, 121-131.
  • Pigeon, M., Antonio, K., Denuit, M. (2013). Individual loss reserving with the Multivariate Skew Normal framework. ASTIN Bulletin 43, 399-428.

Here a selection of past projects:

  • Develop a general framework providing guidance for reserving actuaries of a major insurance company operating in Belgium when dealing with specific development effects, avoiding “expert judgments” in the determination of parameters/assumptions, with special emphasis on the legal expense cover.
  • Develop a tailor-made solution (semi-individual method leading to a publication) for MTPL loss reserving for a major insurer on the Belgian market.
  • Review the underlying methods and assumptions of loss reserving models