Identifikation neuer Ansätze zur individuellen Kfz-Tarifierung

This paper analyzes innovative approaches to the pricing of German motor insurance. The aim is to calculate premiums more fairly in terms of consumer protection. Furthermore we aim to achieve a better level of coverage from the insurer’s point of view. This is to be achieved through reduction of information asymmetries by collecting data respective the driver, the driving behavior and the use of vehicle as well as through optimization of claims management. There are trade-offs between the feasibilities of our different approaches, their respective benefits for calculation and data privacy. The analysis focuses on including telemetry data such as speed, acceleration as well as the used road type in the tariff calculation. Different driving profiles can be identified, which allows for determining probabilities of risk depending on driving behavior by taking into account the accident statistics. Profile-certified risk-probabilities in turn are the basis for greater tariff differentiation.