User profiles for Donatien Hainaut
Donatien HainautProfessor of Actuarial sciences & Quant. Finance UCLouvain, LIDAM/ISBA Verified email at uclouvain.be Cited by 961 |
A neural-network analyzer for mortality forecast
D Hainaut - ASTIN Bulletin: The Journal of the IAA, 2018 - cambridge.org
This article proposes a neural-network approach to predict and simulate human mortality
rates. This semi-parametric model is capable to detect and duplicate non-linearities observed …
rates. This semi-parametric model is capable to detect and duplicate non-linearities observed …
A model for interest rates with clustering effects
D Hainaut - Quantitative Finance, 2016 - Taylor & Francis
We propose a model for short-term rates driven by a self-exciting jump process to reproduce
the clustering of shocks on the Euro overnight index average (EONIA). The key element of …
the clustering of shocks on the Euro overnight index average (EONIA). The key element of …
Mortality modelling with Lévy processes
D Hainaut, P Devolder - Insurance: Mathematics and Economics, 2008 - Elsevier
This paper addresses the modelling of human mortality by the aid of doubly stochastic
processes with an intensity driven by a positive Lévy process. We focus on intensities having a …
processes with an intensity driven by a positive Lévy process. We focus on intensities having a …
A structural model for credit risk with switching processes and synchronous jumps
D Hainaut, DB Colwell - The European Journal of Finance, 2016 - Taylor & Francis
This paper studies a switching regime version of Merton's structural model for the pricing of
default risk. The default event depends on the total value of the firm's asset modeled by a …
default risk. The default event depends on the total value of the firm's asset modeled by a …
Wavelet-based feature extraction for mortality projection
D Hainaut, M Denuit - ASTIN Bulletin: The Journal of the IAA, 2020 - cambridge.org
Wavelet theory is known to be a powerful tool for compressing and processing time series
or images. It consists in projecting a signal on an orthonormal basis of functions that are …
or images. It consists in projecting a signal on an orthonormal basis of functions that are …
Multidimensional Lee–Carter model with switching mortality processes
D Hainaut - Insurance: Mathematics and Economics, 2012 - Elsevier
This paper proposes a multidimensional Lee–Carter model, in which the time dependent
components are ruled by switching regime processes. The main feature of this model is its …
components are ruled by switching regime processes. The main feature of this model is its …
Contagion modeling between the financial and insurance markets with time changed processes
D Hainaut - Insurance: Mathematics and Economics, 2017 - Elsevier
This study analyzes the impact of contagion between financial and non-life insurance
markets on the asset–liability management policy of an insurance company. The indirect …
markets on the asset–liability management policy of an insurance company. The indirect …
Portfolio insurance under rough volatility and Volterra processes
Affine Volterra processes have gained more and more interest in recent years. In particular,
this class of processes generalizes the classical Heston model and the more recent rough …
this class of processes generalizes the classical Heston model and the more recent rough …
Continuous time processes for finance
D Hainaut - Switching, self-exciting, fractional and other recent …, 2022 - Springer
Quantitative finance no longer needs an introduction. Mathematical modeling has opened
new perspectives both for trading and for risk management. Sometimes seen as a thread …
new perspectives both for trading and for risk management. Sometimes seen as a thread …
Moment generating function of non-Markov self-excited claims processes
D Hainaut - Insurance: Mathematics and Economics, 2021 - Elsevier
This article establishes the moment generating function (mgf) of self-excited claim processes
with memory functions that admit a Fourier's transform representation. In this case, the claim …
with memory functions that admit a Fourier's transform representation. In this case, the claim …