Synthetic data for ratemaking: imputation-based methods vs adversarial networks and autoencoders

Yevhen Havrylenko, Meelis Käärik, Artur Tuttar

Actuarial ratemaking depends on high-quality data, yet access to such data is often limited by the cost of obtaining new data, privacy concerns, etc. In this paper, we explore synt…