premiums offered by the rest of the insurance market. The optimal premium is determined using stochastic optimal control theory …A model for general insurance pricing is developed which represents a stochastic generalisation of the discrete model … proposed by Taylor (1968). This model determines the insurance premium based both on the breakeven premium and the competing …

the modified Swiss Solvency Test methodology outlined in Siegenthaler). The theory is based on the well known Bühlmann …

A simple formula for non-discriminatory insurance pricing is introduced. This formula is based on the assumption that … certain individual (discriminatory) policyholder information is not allowed to be used for insurance pricing. The suggested …

These notes aim at giving a broad skill set to the actuarial profession in insurance pricing and data science. We start … from the classical world of generalized linear models, generalized additive models and credibility theory. These methods …

Guaranteed renewability is a prominent feature in many health and life insurance markets. It is well established in the … fair price for low risk types provides full insurance against reclassification risk. We develop a model that includes … unpredictable (and unobservable) fluctuations in demand for life insurance as well as changes in risk type (observable) over …

insurance data set of car claim frequencies using different ML models and different SHAP algorithms …

The recent financial crisis has posed new challenges to the pricing issue of mortgage insurance premiums. By extending …

Changes in mortality rates have an impact on the life insurance industry, the financial sector (as a significant …. Thus, the pricing of financial, pension and insurance products that are contingent upon survival or death and which is … life insurance), and the actuarial reserve. Finally, several tables and figures illustrate the main findings of this paper …