Eduardo Abi Jaber

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I am currently Assistant Professor (Tenure Track)  in Applied Mathematics at Ecole Polytechnique in the Mathematical Finance group of the CMAP department.   I defended my Habilitation à Diriger des Recherches in 2024 and my PhD Thesis in 2018.

I co-organize the Bachelier Seminar and I am responsible of the 3rd-year engineering cycle internships in Mathematical Finance at Ecole Polytechnique. 

Research interests:  Mathematical finance, stochastic processes, machine learning, volatility modeling, Volterra processes and their applications, path-signatures.

Teaching: Fractional and Volterra processes in Finance (M2 Probabilité et Finance, Ecole Polytechnique-Sorbonne Université) and Deep Learning in Finance (MsC Data Science in Finance, Ecole Polytechnique-HEC).

Mail: eduardo.abi-jaber@polytechnique.edu 

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📚 Publications 


[35] Martingale property and moment explosions in signature volatility models, with Paul Gassiat and Dimitri Sotnikov, 2025.


[34]  From Hyper Roughness to Jumps as H -> -1/2, with Elie Attal and Mathieu Rosenbaum, 2025.


[33] Capturing Smile Dynamics with the Quintic Volatility Model: SPX, Skew-Stickiness Ratio and VIX, with Shaun Li, 2025. (Jupyter notebook)


[32] Fredholm Approach to Nonlinear Propagator Models, with Alessandro Bondi, Nathan De Carvalho, Eyal Neuman and Sturmius Tuschmann, 2025


[31] Complex discontinuities of the square root of Fredholm determinants in the Volterra Stein-Stein model, with Maxime Guellil, 2025. (Jupyter notebook)


[30] The Volterra Stein-Stein model with stochastic interest rates, with Donatien Hainaut and  Edouard Motte, 2025.


[29] Heath-Jarrow-Morton meet lifted Heston in energy markets for joint historical and implied calibration, with Soukaïna Bruneau, Nathan De Carvalho, Dimitri Sotnikov and Laurent Tur, 2025


[28] State spaces of multifactor approximations of nonnegative Volterra processes, with Christian Bayer and Simon Breneis, 2024.


[27] Simulation of square-root processes made simple: applications to the Heston model, 2024.


[26] Trading with propagators and constraints: applications to optimal execution and battery storage, with Nathan De Carvalho and Huyên Pham, 2024.


[25] Path-dependent processes from signatures, with Louis-Amand Gérard and Yuxing Huang, 2024. 


[24] Fourier-Laplace transforms in polynomial Ornstein-Uhlenbeck volatility models, with Shaun Li and Xuyang Lin, 2024. (Jupyter notebook) (🌟CFA Quant Awards 2024)


[23] Polynomial Volterra processes, with Christa Cuchiero,  Luca Pelizzari, Sergio Pulido and Sara Svaluto-Ferro, Electronic Journal of Probability, 29, 1-37 2024.  


[22] Optimal Portfolio Choice with Cross-Impact Propagators, with Eyal Neuman and Sturmius Tuschmann, 2024


[21] Signature volatility models: pricing and hedging with Fourier, with Louis-Amand Gérard, SIAM Journal on Financial Mathematics, to appear, 2025


[20] Volatility models in practice: Rough, Path-dependent or Markovian?, with Shaun Li, 2024. 


[19] Equilibrium in Functional Stochastic Games with Mean-Field Interaction, with Eyal Neuman and Moritz Voss, 2023


[18] Reconciling rough volatility with jumps, with Nathan De Carvalho, SIAM Journal on Financial Mathematics, 15(3), 785-823, 2024. (🌟BFS Junior Scholar Award 2024)


[17] The quintic Ornstein-Uhlenbeck volatility model that jointly calibrates SPX & VIX smiles, with Camille Illand and Shaun Li, Risk Magazine (Cutting Edge section), 2023. (Jupyter notebook)


[16] Joint SPX-VIX calibration with Gaussian polynomial volatility models: deep pricing with quantization hints, with Camille Illand and Shaun Li, Mathematical Finance, 2024


[15] Optimal Liquidation with Signals: the General Propagator Case, with Eyal Neuman, 2022. (Jupyter notebook)         


[14] Gaussian Agency problems with memory and Linear Contracts, with Stéphane Villeneuve, Finance & Stochastics, 2024.          


[13] The characteristic function of Gaussian stochastic volatility models: an analytic expression, Finance & Stochastics, 26, 733–769, 2022.                


[12] Markowitz portfolio selection for multivariate affine and quadratic Volterra models, with Enzo Miller and Huyên Pham, SIAM Journal on Financial Mathematics12(1), 369-409, 2021.  (Jupyter notebook).


[11] Weak existence and uniqueness for affine stochastic Volterra equations with L1-kernels, Bernoulli, 27(3), 1583-1615, 2021.


[10] The Laplace transform of the integrated Volterra Wishart process, Mathematical Finance, 32(1), 309-348, 2022.       


[9] Integral operator Riccati equations arising in stochastic Volterra control problems, with Enzo Miller and Huyên Pham, SIAM Journal on Control and Optimization, 59(2),  1581-1603, 2021.


[8] Linear-Quadratic control for a class of stochastic Volterra equations: solvability and approximation, with Enzo Miller and Huyên Pham, Annals of Applied Probability, 31(5), 2244-2274, 2021.     

[7] A weak solution theory for stochastic Volterra equations of convolution type, with Christa Cuchiero, Martin Larsson and Sergio Pulido, Annals of Applied Probability, 31(6), 2924-2952, 2021.

[6] Lifting the Heston model, Quantitative Finance, 1-19, 2019.   

[5] Markovian structure of the Volterra Heston model, with Omar El Euch, Statistics & Probability Letters, Volume 149, Pages 63-72, 2019.

[4] Multifactor approximation of rough volatility models, with Omar El Euch, SIAM Journal on Financial Mathematics, 10(2), 309-349, 2019. (🌟BFS Junior Scholar Award 2018)

[3] Affine Volterra processes, with Martin Larsson and Sergio Pulido, Annals of Applied Probability, Volume 29, Number 5, 3155-3200, 2019.        

[2] Stochastic invariance of closed sets for jump-diffusions with non-Lipschitz coefficients, Electronic Communications in Probability, 22, paper no. 53, 15 pp, 2017

[1] Stochastic invariance of closed sets with non-Lipschitz coefficients, with Bruno Bouchard and Camille Illand, Stochastic Processes and their Applications, Volume 129, Issue 5, Pages 1726-1748, 2019.      

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