Category Publications

Juil
2020

Estimation of the number of factors in a multi-factorial Heath-Jarrow-Morton model in electricity markets - Olivier Féron & Pierre Gruet

In this paper we study the calibration of specific multi-factorial Heath-Jarrow-Morton models to electricity market prices, with a focus on the estimation of the optimal number of factors. We describe ...

Avr
2020

A Principal-Agent approach to study Capacity Remuneration Mechanisms - Clémence Alasseur, Heythem Farhat and Marcelo Saguan

We propose to study electricity capacity remuneration mechanism design through a Principal-Agent approach. The Principal represents the aggregation of electricity consumers (or a representative entity), subject to the physical risk of shortage, ...

Déc
2019

Numerical resolution of McKean-Vlasov FBSDEs using neural networks - Maximilien GERMAIN, Joseph MIKAEL, and Xavier WARIN

We propose several algorithms to solve McKean-Vlasov Forward Backward Stochastic Differential Equations. Our schemes rely on the approximating power of neural networks to estimate the solution or its gradient through ...

Juil
2019

Neural networks-based backward scheme for fully nonlinear PDEs - H. Pham, X. Warin

We propose a numerical method for solving high dimensional fully nonlinear partial differential equations (PDEs). Our algorithm estimates simultaneously by backward time induction the solution and its gradient by multi-layer ...

Juin
2019

Efficient Volatility Estimation in a Two-factor Model - O. Féron, P. Gruet, and M. Hoffmann

We statistically analyse a multivariate HJM diffusion model with stochastic volatility. The volatility process of the first factor is left totally unspecified while the volatility of the second factor is ...

Avr
2019

Simulation of fuel poverty in France - Corinne Chaton, Alexandre Gouraud.

The assessment of fuel poverty in mainland France is based mainly on data provided by the French national housing survey (ENL). However, the last two surveys date from 2006 and ...

Avr
2019

Avoiding Fuel Poverty through Insurance -  Corinne Chaton

Twenty percent of French non-fuel poor households will fall into fuel poverty. The existence of energy insurance can reduce this percentage. This article focuses on non-fuel poor households that can ...

Fév
2019

Some machine learning schemes for high-dimensional nonlinear PDEs - C. HURE, H. PHAM, X. WARIN

We propose new machine learning schemes for solving high dimensional nonlinear partial differential equations (PDEs). Relying on the classical backward stochastic differential equation (BSDE) representation of PDEs, our algorithms estimate ...

Fév
2019

Untangling systemic risk in financialized commodity markets - Julien Ling.

Systemic risk is a multifaceted concept that is of crucial importance for regulators. In order to ensure financial stability, they need to properly assess this risk, preventing financial shocks from ...

Jan
2019

Deep neural networks algorithms for stochastic control problems on finite horizon, Part 2: numerical applications - A. Bachouch, C. Huré, N. Langrené, H. Pham

This paper presents several numerical applications of deep learning-based algorithms that have been analyzed in [11]. Numerical and comparative tests using TensorFlow illustrate the performance of our different algorithms, namely ...

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