Institut für Risikomanagement und Versicherung




Insurance Management

Lecturer: Dr. Stephanie Müller

***Please be sure to register for the event using the registration form in order to be able to participate in the online formats without obstacles and to receive information on updates.***

Course Description

This lecture offers an introduction to the economic fundamentals of the insurance business. Along the value chain of insurance companies management issues are analyzed and discussed. Developments that are essential for the insurance industry, such as digitalization or the emergence of new risks, are discussed and examined in an economic context. Among the topics to consider are institutional foundations, insurance regulation, insurance distribution as well as current issues like the digital transformation of the insurance sector and the handling of cyber risks.

Main Objectives

  • Learn about the central institutional characteristics of various forms of companies in the insurance business and their implications for their management.
  • Become familiar with the regulatory framework of the insurance business.
  • Be aware of key developments and challenges arising from new technologies and risks and their economic significance for the industry.

Course Outline

Module I: Insurance Industry Foundations
Module II: Insurance Regulation & Supervision
Module III: Insurance Distribution
Module IV: Insurance Products 
Module V: Current Challenges: Digitalization & Cyber Risks

Course Format

Insurance Management will be offered online in WS20/21 due to the outbreak of COVID-19. Lectures and tutorials will be available as videos via LMUcast. Links to the videos will be announced by email to registered participants and in LSF during the semester. Participants should complete the lecture and tutorial videos by the respective recommended completion dates (see details in the timeline).
In addition, we will also organize a Q&A session in an interactive form to the end of the semester, presumably via Zoom. (see details in the timeline).

Further Information