The 2025 Nicola Bruti Liberati Prize has been awarded to Nathan De Carvalho, who has got his Ph.D. at Université Paris Cité, with the thesis «Lifting Energy Markets: From Volatility Modeling to Optimal Trading»
The prize was established by the Bruti Liberati Family, the Department of Mathematics – Politecnico di Milano, and the Bachelier Finance Society to remember Nicola.
The award committee was composed of Emilio Barucci, Carole Bernard, Min Dai, Caroline Hillairet, Thaleia Zariphopoulou.
The commitment of the QFinLab to remember Nicola continues.
Nicola Bruti Liberati Prize
QFinLab Seminar – Gabriele Sbaiz (University of Trieste) – 25/5/2026, 13:15 @ Department of Mathematics, Politecnico di Milano
May
25
2026
Dear colleagues,
you are all invited to participate in the following seminar organized by QFinLab – Department of Mathematics, Politecnico di Milano.
Monday, 25 May 2026, 13.15
Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus); online (Microsoft Teams), Link
Gabriele Sbaiz (University of Trieste)
Title: Environmental impact into multi-objective portfolio allocations
Abstract: In this talk, we tackle a sustainable multi-objective optimization problem in which we aim to maximize a mean-risk ratio while, at the same time, minimizing the environmental impact. More specifically, the mean-risk metric is represented by the Stable Tail Adjusted Return ratio, which penalizes only downside tail-risk and incorporates skewness and fat-tail information. In the portfolio construction, we consider the classical constraints concerning full investment and buy-in threshold requirements. To deal with these new asset allocation models, we develop an improved Multi-Objective Particle Swarm Optimizer (MOPSO) embedded with a repair-projection mechanism to satisfy the constraints. Moreover, we implement a deep learning architecture to improve the estimation quality of the mean-risk measure and to speed up the MOPSO solver. Finally, we conduct empirical tests on a European dataset to illustrate the effectiveness of the proposed strategies, accounting for different levels of environmental awareness.
The organizers: Michele Azzone and Alessandro Calvia
QFinLab Seminar – Riccardo Brignone (University of Pavia) – 4/5/2026, 13:15 @ Department of Mathematics, Politecnico di Milano
May
04
2026
Dear colleagues,
you are all invited to participate in the following seminar organized by QFinLab – Department of Mathematics, Politecnico di Milano.
Monday, 4 May 2026, 13.15
Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus); online (Microsoft Teams), Link
Riccardo Brignone (University of Pavia)
Title: Pricing path-dependent options under stochastic volatility models with arbitrary accuracy
Abstract: We propose a unified methodology for pricing general path-dependent derivatives, such as (without sake of exhaustiveness) Asian, barrier, variance, lookback and cliquet options. The proposed approach is based on the Monte Carlo Conditional Fourier-cosine method and works for a broad class of stochastic volatility models. The main benefit of the new algorithm over existing literature consists in a simple and effective control of the error. A practitioner needs to provide the pricing algorithm with two parameters: i) a probability, q; ii) an error tolerance, epsilon. Then, our proposed algorithm provides a price approximation that differs by no more than epsilon from the true unknown option price with probability at least equal to q. In other words, the practitioner can easily control the accuracy of the price approximation, contrarily to any other approach proposed in the literature so far. We provide explicit formulas linking the variance of the Monte Carlo simulation estimator of the option price, the error tolerance, and the number of simulations. Leveraging such formulas, it is possible to drastically reduce computing times through variance reduction techniques, rendering the pricing methodology computationally efficient.
The organizers: Michele Azzone and Alessandro Calvia
Next Seminar 25/4, Gabriele Sbaiz, University of Trieste
ALGODEFI 26 Conference
Oct
08
2026
Dear all,
Following the success of ALGODEFI24 and ALGODEFI25, I am happy to share the enclosed announcement and call for papers for the ALGODEFI26 Conference.
ALGODEFI26: Algorithmic Trading, Decentralized Finance and Artificial Intelligence in Capital Markets
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Dates: October 8–9, 2026
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Venue: Department of Mathematics, Politecnico di Milano
Submission and registration are open on the conference website.
Call for Papers: Accepting full papers or extended abstracts
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Deadline for Submission: September 1st, 2026
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Notification of Acceptance: September 15th, 2026
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Deadline for Registration: September 25th, 2026
Keynote Speakers
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Eduardo Abi Jaber (École Polytechnique)
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Sebastian Jaimungal (University of Toronto)
We will have an industry-Oriented Session in a dedicated afternoon.
Scientific Committee Emilio Barucci (Chair), Tomaso Aste, Michele Azzone, Leandro Sánchez Betancourt, Andrea Prampolini
Description The landscape of financial markets is changing significantly thanks to new technologies and methodologies that are profoundly modifying their architecture and functioning. Among the innovations, we have the possibility of operating using real-time market information, machine learning techniques, automatic trading strategies, automatic market making, distributed ledger technologies, digital assets, smart contracts, and cryptocurrencies. The objective of the workshop is to offer an opportunity for the academic and industrial communities to meet and discuss research advancements on these topics.
QFinLab Seminar – Neofytos Rodosthenous (University College London) – 21/4/2026, 15:30 @ Department of Mathematics, Politecnico di Milano
Apr
21
2026
Dear colleagues,
you are all invited to participate in the following seminar organized by QFinLab – Department of Mathematics, Politecnico di Milano.
Tuesday, 21 April 2026, 15.30-16.30
Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus); online (Microsoft Teams), Link
Neofytos Rodosthenous (University College London)
Title: Regulation in a mean-field investment game with climate damage.
Abstract: We develop a mean-field model of firms investing in carbon-intensive (brown) capital, where productivity declines due to temperature-related climate damages linked to cumulative emissions. Firms aim to maximise expected discounted profits under stochastic capital dynamics driven by idiosyncratic shocks, facing a trade-off between investment-driven growth and increased emissions. We characterise the unique mean-field equilibrium as the solution to a coupled system of forward-backward ordinary differential equations. This framework also enables the analysis of optimal regulatory instruments — such as carbon emission taxes and brown production phase-out timelines — in line with long-term climate goals.
Next Seminar 4 May: Riccardo Brignone (University of Pavia)
The organizers: Michele Azzone and Alessandro Calvia.
