Learning objectives

Referring to knowledge ― Know the basics of statistical analysis used in life and general insurance. Specifically, learn the statistical tools needed to analyse the design of pension systems (public and private) and the pricing of life and general insurance. ― Model mortality rates and number of claims (relevance by differences in sex and gender).

 

 

Teaching blocks

 

1. Introduction to the biometric model in the life branch

2. Discrete probabilities of survival and death

3. Discrete probability distributions for groups

4. Modelling in the non-life branch

5. Modelling number of claims

6. Model estimation and selection

 

 

Teaching methods and general organization

 

Two types of theoretical and practical classes are taught: Resolution of applied cases and exercises Resolution of practical situations using a computer

 

 

Official assessment of learning outcomes

 

Continuous assessment The continuous assessment consists of solving exercises during the semester, where in some cases the solution is done with gamification techniques via Kahoot! or Socrative. The submission of exercises takes place at two points during the semester: the first one by the end of March and the second at the end of the course. The final grade is the weighted average between the grades of the two activities that make up the continuous assessment. The weighting of each activity is determined according to the weight of the block assessed in relation to the whole subject contents. The qualification criteria basically focus on: 1) Solving capacity of the proposed exercises. 2) Analytical capacity and interpretation of results. All activities must be passed for the final grade to be calculated. If the student does not pass one of the continuous assessment assignments, they must sit the subject’s final examination to pass this activity and make an average.   Examination-based assessment The single assessment consists of solving a set of theoretical and practical exercises. There is no requirement for students to be eligible to sit the repeat assessment. Therefore, any student who has not previously passed the subject (whether failed or absent) may sit the repeat assessment. The repeat assessment takes the same structure as the single assessment examination and does not entail any discrimination with respect to the continuous assessment or the single assessment in relation to the maximum grade that can be obtained.

Reading and study resources

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Book

AYUSO, Mercedes; CORRALES, H.; GUILLÉN, M.; PÉREZ-MARÍN, A.M.; ROJO, J.L. Estadística Actuarial Vida. 2ª ed. Barcelona: Edicions Universitat de Barcelona, 2007

Catàleg UB  

BEARD, R.E.  Risk theory : the stochastic basis of insurance.  3a. ed.  London: Chapman and Hall, 1990

Catàleg UB  

BÜHLMANN, Hans. Mathematical methods in risk theory.  Berlin: Springer, 1996

Catàleg UB  

DURA, José María.  Fundamentos de estadística : estadística descriptiva y modelos probabilísticos para la inferencia. Barcelona: Ariel, 1988

Catàleg UB  

HOSSACK, I.B. Introducción a la estadística con aplicación a los seguros generales. Madrid: Ed. Mapfre, 2001

Catàleg UB  

HOSSACK, I. B.  Introductory statistics with applications in general insurance.  Cambridge: Cambridge Univ. Press, 2003

Catàleg UB  

KLUGMAN, Stuart A.  Loss models : from data to decisions.  New Jersey: Ed. Wiley, Third Edition, 2008.

Catàleg UB  

LOPEZ CACHERO, Manuel. Estadística para actuarios. Madrid : MAPFRE, 1996

Catàleg UB  

LÓPEZ CACHERO, Manuel. Fundamentos y métodos de estadística. Madrid: Pirámide, 1993

Catàleg UB  

SARABIA, J.M., GÓMEZ, E., VÁZQUEZ-POLO, F.J. Estadística actuarial : teoría y aplicaciones. Madrid: Pearson Prentice Hall, 2007

Catàleg UB  

SZABO, Fred. Actuaries’ Survival Guide. How to succeed in one of the most desirable professions. 2ª Ed. Academic Press-Elsevier, 2013

Catàleg UB