Stochastic Finance in Insurance

lactu2240  2019-2020  Louvain-la-Neuve

Stochastic Finance in Insurance
Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
5 credits
30.0 h
Q2
Teacher(s)
Ars Pierre; Devolder Pierre; Lebègue Adrien (compensates Devolder Pierre);
Language
English
Prerequisites

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
The first part is devoted to the application of option theory to the value of life insurance contracts (contract with a guaranteed rate or unit linked contracts). The second part is an introduction to stochastic optimal control and its actuarial applications.
Aims

At the end of this learning unit, the student is able to :

1 The aim of this course is to apply the methods of stochastic finance in insurance and pension funds. At the end of the course, the students must be able to apply the concepts of quantitative finance to various concrete problems of insurance
 

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
Content The following topics will be developed: Part 1 / STOCHASTIC METHODS OF VALUATION 1. Classical actuarial valuation 2. Deflators, discounting and fair value 3. Life insurance with participation 4. Unit linked insurance 5. Look back options and pricing 6. Valuation of the surrender option 7. Option on annuity PART 2 / STOCHASTIC CONTROL 1. Presentation of the financial market 2. Introduction to stochastic control 3. Dynamic optimization in continuous time 4. Introduction to Malliavin calculus 5. Actuarial applications Methods In-class activities X0 Lectures X0 Exercices/PT At home activities X0 Exercices to prepare the lecture X0 Paper work
Evaluation methods
Evaluation : Class participation and written examination.
Other information
Support : Slides provided through moodle.
Bibliography
Les transparents se basent principalement sur
  • MOLLER T. & STEFFENSEN M. : Market-valuation methods in life and pension insurance (Cambridge, 2007)
  • HARDY M.  :  Investment guarantees: modeling and risk management for equity linked insurance (Wiley, 2003)
  • DEVOLDER P., JANSSEN J. & MANCA R. : Stochastic methods for Pension Funds (Wiley, 2012 )
  • REBONATO R.  : Volatility and Correlation: The Perfect Hedger and the Fox (Wiley, 2004)
  • TANKOV P. : Calibration de modèles et couverture de produits dérivés  2006, (http://www.proba.jussieu.fr/pageperso/tankov/)
  • TANKOV P. : Surface de volatilité 2012, (http://www.proba.jussieu.fr/pageperso/tankov/)
Teaching materials
  • transparents sur moodle + liste d'articles
Faculty or entity
LSBA


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Actuarial Science