Checking date: 08/04/2019

Course: 2019/2020

Non-life insurance pricing
Study: Master in Actuarial and Financial Sciences (224)

Coordinating teacher: BALBAS DE LA CORTE, ALEJANDRO

Department assigned to the subject: Department of Business Administration

Type: Compulsory
ECTS Credits: 6.0 ECTS


Students are expected to have completed
Background on Mathematical analysis, probability Theory, Visual Basic and other Languages, Life Insurance and Pension Plans, Fixed Income, and Financial Markets.
Competences and skills that will be acquired and learning results.
The main objective is the study of the most important and modern non-life actuarial models. Next we will give the topics that the student must learn so as to get the main objective above Content - Premium principles - Risk measurement and management - Reinsurance - Credibility theory - Generalized linear models in insurance Habilities: - Risk analysis for existing products/portfolios and design of new products - Risk management. Attitude: - Personal job - Collaboration with other students.
Description of contents: programme
FIRST PART: RISK, PREMIUM PRINCIPLE AND REINSURANCE Risk measures Frequency and severity Premium principles Reinsurance SECOND PART: CREDIBILITY Classical approach Bülhmann approach Bayesian approach THIRD PART: GENERALIZED LINEAR MODELS Beyond linear regression Applications in insurance pricing Applications in risk management
Learning activities and methodology
Theoretical lectures Practical sesions Programming in several languages Applications wit real life examples
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Basic Bibliography
  • Ohlsson and Johansson. Non-life insurance pricing with generalized linear models. Springer. 2010
  • Yiu Kuen Tse. Nonlife actuarial models. Theory, methods and evaluation. Cambridge Universty Press. 2009

The course syllabus and the academic weekly planning may change due academic events or other reasons.