This course explores the modelling of interest rate and inflation.
The first part focuses on the static modelling of the yield curve. We review the Nelson-Siegel, Svensson and Smith-Wilson models. The last one is now a standard in the insurance industry and is recommended by Solvency II.
The second part of this course reviews popular stochastic interest rate models: Hull&White, Heath-Jarrow-Morton and G2++. It does not aim to be exhaustive and focuses on Gaussian factor models for interest or forward rates. This choice is motivated by the high level of analytical tractability of these models.
The last section covers inflation modeling after a brief presentation of hedging tools for inflation. We focus on the Jarrow-Yildirim model based on a foreign currency analogy between real and nominal economies.
Throughout this course, a particular attention is granted to the econometric estimation of these models and to their use in risk management. The module is illustrated with examples in R provided to participants.
Stochastic calculus in a nutshell
Brownian motion and Itô’s lemma
Risk neutral measure
Hull & White model
Estimation under P and Q
Option on ZC and CB bonds
Swaptions
Trinomial tree
Definition and properties
Econometric estimation
Illustration
Simulations
Definition & properties
Bond prices
Estimation under P
Bond options
Inflation
Inflation bond : OATi
ZC inflation indexed swaps
Year to year inflation swaps
Jarrow Yildirim model
Econometric estimation of JY
Scientific Advisor, Detralytics
Professor, UCLouvain
Date : On-Demand
Duration : 9h
Accreditation : 9CPD | 54PPC
Industry : Bank, insurance
Requirements : R studio, Basic knowledge of financial markets
At the end of the training, participants will be able to:
Donatien Hainaut is a Scientific Advisor at Detralytics and a professor at UCLouvain (Belgium), where he serves as the Director of the Master’s program in Data Science with a statistical orientation. Prior to this, he held several academic positions, including Associate Professor at Rennes School of Business and ENSAE in Paris. He also has extensive industry experience, having worked as a Risk Officer, Quantitative Analyst, and ALM Officer.
Donatien is a Qualified Actuary and holds a PhD in the field of Asset and Liability Management. His current research focuses on contagion mechanisms in stochastic processes and the applications of neural networks in insurance.