Financial valuation of actuarial liabilities

lactu2170  2024-2025  Louvain-la-Neuve

Financial valuation of actuarial liabilities
7.00 credits
45.0 h + 15.0 h
Q2
Teacher(s)
Language
French
Prerequisites
Mastery of basic concepts in statistics and probability calculation, at the level of courses in the FSA1BA, INGE1BA, MATH1BA programs or the access minor in statistics, actuarial sciences and data science.
Main themes
Interest mathematics, yield curve, stochastic calculus, options, variable annuities, unit linked funds with death guarantees.
Content
The course consists of 8 sections:
  1. Mathematics of interest
    1. Internal rate of return, annuities, indexed and fractional annuities
    2. Bullet and amortized loans
    3. The bond market and extraction of zero-coupon rates
    4. Best estimate of life insurance liabilities
    5. Introduction to duration and convexity
  2. Valuation of embedded options in insurance contracts
    1. Variable annuities
    2. Options: general characteristics
    3. Valuation by trees
    4. Evaluation of variable annuities
  3. Analytical valuation of embedded options
    1. Brownian motion
    2. Black & Scholes formula
    3. GMAB with ratchet
  4. Elements of stochastic calculus
    1. Processes and Itô's lemma
    2. Application to portfolio insurance
  5. Changes of measure
    1. Change from P to Q
    2. Portfolio insurance with cap
    3. Change of numéraire
    4. Max-return insurance
  6. Other numerical methods
    1. Feynman-Kac equation
    2. Simulation of assets and death times
  7. Interest rate modeling
    1. Hull-White and Vasicek models
    2. Model calibration
  8. Interest rate options
    1. Options on zero-coupon and variable annuities
    2. Options on bonds
    3. Trinomial trees for interest rate options
    4. Floating rate notes, swaps, swaptions
    5. Contracts with capped profit sharing
Teaching methods
The course consists of 11 theoretical lessons of 4 hours and 7 practical sessions which the student is required to attend.
Evaluation methods
The assessment consists of a project and of a written exam covering both theory and practical work, for which the student is provided with a form by the instructor. The instructor reserves the right to orally question the student both on the exam answers and on the project content.
Online resources
Moodle website
Bibliography
Les diapositives disponibles sur moodle peuvent être complétées si besoin par
  • Actuarial Mathematics for Life Contingent Risks. Dickson, D.C.M., Hardy, M.R., Waters, H.R. 2009, Cambridge University Press.
  • Options, futures and other derivatives. J.C. Hull (Pearson).
  • Interest Rate Models - Theory and Practice: With Smile, Inflation and Credit. Brigo D. Mercurio F. (Springer).
  • Stochastic calculus for finance (vol 1 ,2) Shreve S ( Springer)
  • Martingales Methods in Financial Modelling. Musiela M. Rutkowski M. (Springer)
  • Introduction to Stochastic calculus applied to finance. Lamberton D. Lapeyre B. (Chapman&Hall)
Teaching materials
  • Exercices (rédigés en Français) et diapositives (rédigées en Anglais), format pdf, disponible sur Moodle.
Faculty or entity


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

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Mathematics

Master [120] in Actuarial Science

Master [120] in Mathematical Engineering

Master [120] in Data Science Engineering

Master [120] in Data Science: Information Technology