Research

Recent Papers

• Thibaut Mastrolia, Tianrui Xu. Clearing time randomization and transaction fees for auction market design. 
• Thibaut Mastrolia, Jiacheng Zhang. Agency problem and mean field system of agents with moral hazard, synergistic effects and accidents.

Published and Accepted Articles

• Joffrey Derchu, Philippe Guillot, Thibaut Mastrolia, Mathieu Rosenbaum. AHEAD: Ad Hoc Electronic Auction Design. Frontiers of Mathematical Finance, 3(2): 163-216 (2024)
• Joffrey Derchu, Dimitrios Kavvanthas, Thibaut Mastrolia, Mathieu Rosenbaum. Equilibria and incentives for illiquid auction markets. To appear in Market Microstructure and Liquidity.
• Joffrey Derchu, Thibaut Mastrolia. On Z-mean reflected BSDEs. Bernoulli, 30(2), 1502–1524 (2024).
• Paul Jusselin, Thibaut Mastrolia. Scaling limit for stochastic control problems in population dynamics. Applied Mathematics & Optimization. Vol 88, No 14 (2023).
• Bastien Baldacci, Iuliia Manziuk, Thibaut Mastrolia, Mathieu Rosenbaum. Market making and incentives design in the presence of a dark pool: a deep reinforcement learning approach. Operations Research, Vol. 71 No 2 (2022).
• Emma Hubert, Thibaut Mastrolia, Dylan Possamaï, Xavier Warin. Incentives, lockdown, and testing: from Thucydides’s analysis to the COVID-19 pandemic.  Journal of Mathematical Biology. 84, No. 37 (2022).
• Paul Jusselin, Thibaut Mastrolia, Mathieu Rosenbaum. Optimal auction duration: A price formation viewpoint. Operations Research, Vol 69 No 6. (2021).
• Omar El Euch, Thibaut Mastrolia, Mathieu Rosenbaum, Nizar Touzi, Optimal make-take fees for market making regulation. Mathematical Finance, 31, pp109-148 (2021) and its corrigendum (pdf).
• Romuald Elie, Emma Hubert, Thibaut Mastrolia, Dylan Possamaï. Mean-field moral hazard for optimal energy demand response management. Mathematical Finance, Vol 31, Issue 1 (2020).
• Idris Kharroubi, Thomas Lim, Thibaut Mastrolia. Regulation of Renewable Resource Exploitation. SIAM J. Control Optim. Vol. 58, No. 1, pp 551-579 (2019).
• Nicolás Hernández-Santibáñez, Thibaut Mastrolia. Contract Theory in a VUCA World. SIAM J. Control Optim. Vol. 57, No. 4, pp 3072-3100 (2019).
• Romuald Elie, Thibaut Mastrolia, Dylan Possamaï. A tale of a Principal and many many Agents. Mathematics of Operations Research. Vol. 2, No. 3, pp 377-766 (2019).
• Thibaut Mastrolia, Zhenjie Ren. Principal-Agent Problem with Common Agency Without Communication. SIAM Journal on Financial Mathematics. Vol. 9, No. 2, pp 775-799 (2018).
• Thibaut Mastrolia., Dylan Possamaï. Moral Hazard Under Ambiguity. Journal of Optimization Theory and Applications. Vol. 179, No. 2, pp 452-500 (2018).
• Thibaut Mastrolia. Density analysis of non-Markovian BSDEs and applications to biology and finance. Stochastic Processes and their Applications. Vol. 128, No. 3, pp 397-938 (2018).
• Thibaut Mastrolia, Dylan Possamaï, Anthony Réveillac. On the Malliavin differentiability of BSDEs. Annales de l’Institut Henri Poincaré série Probabilités et Statistique. Vol. 53, No. 1, pp 464-492 (2017).
• Thibaut Mastrolia, Dylan Possamaï, Anthony Réveillac. Density analysis of BSDEs. Annals of Probability. Vol. 44, No. 4, pp 2817-2857 (2016).
• Peter Imkeller, Thibaut Mastrolia, Dylan Possamaï, Anthony Réveillac. A note on the Malliavin-Sobolev spaces. Statistics and Probability Letters. Vol. 109, pp 45-53 (2016).
• Monique Jeanblanc, Thibaut Mastrolia, Dylan Possamaï, Anthony Réveillac. Utility maximization with random horizon: a BSDE approach. International Journal of Theoretical and Applied Finance. Vol. 18, paper no. 15, 1550045 (2015).

Theses

Habilitation thesis: Analyses of models and incentive mechanisms for financial regulation and population monitoring, (pdf).
Habilitation thesis defended on January 8, 2021 at Université Paris-Saclay.

PhD Thesis: On the regularity of solutions to Backward SDE and applications to finance, (pdf).
Doctoral thesis defended on December 15, 2015 at Université Paris-Dauphine.

Supervision of PhD students

• Current PhD students:
  • Tianrui Xu (department of Mathematics UC Berkeley, co-supervised with Steven N. Evans)
  • Alberto Gennaro (IEOR department, UC Berkeley)
  • Hao Wang (IEOR department, UC Berkeley)
  • William Yan (IEOR department, UC Berkeley)
• Past PhD Students:
  • Joffrey Derchu (Ecole Polytechnique, co-supervised with Mathieu Rosenbaum, 2019-2022).
    Quantitative researcher at Jump Trading.

Doctoral Dissertation Committees

• Jessica Martin, May 2021, INSA  de Toulouse. Title: Some Principal-Agent problems under societal constraints. Referee.
• Bastien Baldacci, May 2021, Ecole Polytechnique. Title: Quantitative Finance at the microstructure scale: algorithmic trading and regulation. Examinator.