QFinLab Seminar – Leandro Sánchez-Betancourt (University of Oxford) – 24/3/2026, 15:00 @ Department of Mathematics, Politecnico di Milano

Mar 24 2026

You are all invited to participate in the following seminar organized by QFinLab – Department of Mathematics, Politecnico di Milano.

Tuesday, 24 March 2026, 15.00-16.00

Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus); online (Microsoft Teams) link  

Leandro Sánchez-Betancourt (University of Oxford)

Title: Competition between DEXs through Dynamic Fees

We find an approximate Nash equilibrium in a game between decentralized exchanges (DEXs) that compete for order flow by setting dynamic trading fees. We characterize the equilibrium via a coupled system of partial differential equations and derive tractable approximate closed-form expressions for the equilibrium fees. Our analysis shows that the two-regime structure found in monopoly models persists under competition: pools alternate between raising fees to deter arbitrage and lowering fees to attract noise trading and increase volatility. Under competition, however, the switching boundary shifts from the oracle price to a weighted average of the oracle and competitors’ exchange rates. Our numerical experiments show that, holding total liquidity fixed, an increase in the number of competing DEXs reduces execution slippage for strategic liquidity takers and lowers fee revenue per DEX. Finally, the effect on noise traders’ slippage depends on market activity: they are worse off in low-activity markets but better off in high-activity ones.

All news can be found on the QFinLab webpage.

The organizers: Michele Azzone and Alessandro Calvia.


QFinLab Seminar – Francesco Rotondi (Università Bocconi) – 2/3/2026, 13:15 @ Department of Mathematics, Politecnico di Milano

Mar 02 2026

You are all invited to participate in the following seminar organized by QFinLab – Department of Mathematics, Politecnico di Milano.

Monday, 2 March 2026, 13.15-14.15

Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus); online (Microsoft Teams) Link

Francesco Rotondi (Università Bocconi)

Title: Effective binomial discretizations of bivariate diffusion processes

In this paper, we investigate the general conditions under which a bivariate continuous-time stochastic process can be approximated by a computationally tractable discrete-time bivariate binomial process. The main requirement is the explicit solvability of a specific system of partial differential equations associated with the norm of the volatility vectors. As a key application, we develop a simple recombining bivariate binomial tree for the stochastic volatility model introduced by Heston (1993). We then employ this discrete framework to compute no-arbitrage prices of European call and put options, obtaining results that are consistent with those generated by established numerical methods. Finally, we perform a detailed analysis of the two-dimensional free boundaries of American call and put options, examining their dependence on both the spot price and the spot volatility.

The organizers: Michele Azzone and Alessandro Calvia.

Next Seminar 24 March 2026: Leandro Sánchez-Betancourt (University of Oxford).


Climate Risk Seminar

Feb 04 2026

QFinLab promotes a series of thematic seminars on climate risk. Climate transformations have a deep impact on economic activity with implications ranging from the definition of green transition policies to the evaluation of financial assets, from the construction of innovative financial and insurance products to risk management, from the design of mechanisms incentive to asset management and much more. Themes that pose intriguing questions to the academic world, involving, those who deal with models to interpret a phenomenon that by its nature is very complex. The activities are organized through a series of double seminars with discussants. The third meeting is scheduled for

February, 4, 2026

Seminar room VI floor

15.00-17.00

Department of Mathematics

Sara Biagini (LUISS University) Carbon Neutrality and Net-Zero Regulation

We analyze the impact of carbon dioxide regulation on a system of polluting, heterogeneous companies. We consider two compliance frameworks: one based on an emission trading system (ETS) mechanism and the other relying only on abatement efforts. The shocks in the economy are spanned by a multivariate Brownian motion, and the companies’ emissions are modeled as general diffusions. Firms must match their projected emission imbalance with their reduction effort at the compliance date in both frameworks. Under the ETS program, to do so firms can both abate and trade carbon permits in the ETS permits exchange. Existence and uniqueness of the optimal abatement and trade, together with the equilibrium carbon price, are proven under mild necessary and sufficient conditions. The optimizers and the carbon price are explicit, and their analytic expressions provide an instance of classic economic principles. Numerical examples illustrate the flexibility of the model in the study of the effect of significant allocation policies. Under the net-zero framework, firms can only rely on abatement, which is also provided in closed-form.

Discussant: Daniele Mancinelli (Politecnico di Milano)

 

Edit Rroji (Università di Milano Bicocca) Market perceived deadline for the transition to a low carbon economy

In the context of the transition to a low or zero carbon economy, the difference in greenium between pairs of twin bonds with different maturities is expected to disappear or, at least, to reduce in both level and volatility. Consequently, a model is needed that imposes a terminal condition on the dynamics of the process representing the difference in nodes within the greenium term structure. An important feature of this difference, observed in empirical data, is its mean-reverting behavior. This characteristic motivates the introduction of ad-hoc models that consider the possibility of a transition occurring at a specific time. Two models are discussed: The first is an extension of the classical Vasicek model, where the volatility term remains constant until a future time instant, after which it decreases linearly. This model is integrated into the second model consisting of a regime-switching framework, where the perceived deadline for transitioning to a low or zero-carbon economy defines the regime. Both models are calibrated using market data extracted from twin German government bonds.

Discussant: Rocco Mosconi (Politecnico di Milano)

 

This event has been (partially) supported by MUR, Department of Excellence 2023-27


Presentazione Rapporto ESG 2025 del QFinLab

Dec 03 2025
Durante il prossimo workshop dell’Osservatorio Digital & Sustainable del Politecnico di Milano ”Misurare la sostenibilità: KPI, modelli per il calcolo dell”impatto e rendicontazione” (03/12/2025, ore 14:30), organizzato in collaborazione con Assolombarda e il QFinLab, verrà presentato il Rapporto ESG 2025 sulle società quotate italiane a cura del Laboratorio QFinLab. Il rapporto è curato in collaborazione con Technestai.
 
Il rapporto è scaricabile qui.

QFinLab Seminar – Sergio Pulido (Université Paris–Saclay, CNRS, ENSIIE, Univ Évry, LaMME) – 9/12/2025, 12:15 @ Department of Mathematics, Politecnico di Milano

Dec 09 2025

QFinLab – Department of Mathematics, Politecnico di Milano

December 9, 2025, 12.15-13.15

Seminar room, third floor, building 14, Leonardo Campus

 

Sergio Pulido (Université Paris–Saclay, CNRS, ENSIIE, Univ Évry, LaMME)

 Polynomial Volterra processes

Abstract: Recent studies have extended the theory of affine processes to the stochastic Volterra equations framework. In this talk, I will describe how the theory of polynomial processes extends to the Volterra setting. In particular, I will explain the moment formula and an interesting stochastic invariance result in this context. Potential applications to fractional volatility models will be discussed.

 This is joint work with Eduardo Abi Jaber, Christa Cuchiero, Luca Pelizzari and Sara Svaluto-Ferro.

 


QFinLab Seminar Luca Del Viva (ESADE Business School)

Nov 25 2025
 
 
Dear colleagues,
you are all invited to participate in the following seminar organized by QFinLab – Department of Mathematics, Politecnico di Milano.
Tuesday, 25 November 2025, 12.15-13.15
Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus)
Luca Del Viva (ESADE Business School)
Title: Bank Equity Premia and the Fed Regulatory Stance.
Abstract: We examine the interplay between the Federal Reserve’s communication on banking regulation and U.S. bank equity returns. Using a comprehensive set of 124 anomaly characteristics, we show that a pro-regulation stance in Fed speeches can largely explain abnormal returns in the cross-section of bank equities, generating daily market corrections of 0.51 per cent. The effects can be attributed to a reduction in risk premia for illiquid bank stocks, and we find no comparable effect among non-banks. These findings highlight the role of regulatory communication as a distinct determinant of banks’ cost of equity.
 
Attendance is also possible online (Microsoft Teams), clicking here
 
All news can be found on the QFinLab webpage.
The organizers: Michele Azzone and Alessandro Calvia.

QFinLab Seminar Riccardo Brignone (Università di Pavia)

Oct 23 2025
Dear colleagues,
you are all invited to participate in the following seminar organized by QFinLab – Department of Mathematics, Politecnico di Milano.
Thursday, 23 October 2025, 14.30-15.30
Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus)
Riccardo Brignone (Università di Pavia)
TitlePricing path-dependent options under stochastic volatility models with full error control.
Abstract: In this paper, we propose a unified methodology for pricing general path-dependent derivatives (e.g., Asian and Barrier options) that 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 proposed approach over existing literature consists in a simple and effective control of the error. A practitioner simply 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. We provide an explicit link between the variance of the Monte Carlo simulation estimator of the option price, the error tolerance, and the number of simulations. In this way, the pricing methodology becomes extremely efficient when combined with effective variance reduction techniques that drastically reduce the number of simulations (and, consequently, the computing time) required to obtain an arbitrarily accurate price estimate.
Joint work with Gero Junike.
 
 
Attendance is also possible online (Microsoft Teams), clicking here
 
All news can be found on the QFinLab webpage.
The organizers: Michele Azzone and Alessandro Calvia.

QFinLab Seminar – Anna Maria Gambaro (Università del Piemonte Orientale)

Oct 01 2025

Dear colleagues,

you are all invited to participate in the following seminar organized by QFinLab – Department of Mathematics, Politecnico di Milano.
Wednesday, 1 October 2025, 12.15-13.15
Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus)
Anna Maria Gambaro (Università del Piemonte Orientale)
TitleFunctional PCA for Risk-Neutral densities in Bayes Hilbert space.
Abstract: In this work, we investigate the main drivers of risk-neutral densities of quoted stocks, using the functional principal component analysis (FPCA). To this end, we first construct a historical series of risk-neutral densities corresponding to quoted option prices with fixed time to maturity, using exponential expansions of orthogonal polynomials. Then, we apply the centered log-ratio transformation (CLRT) to the extracted densities and we perform the FPCA in the Bayes–Hilbert space. The CLRT provides an isometric isomorphism between the Bayes space of square log-integrable densities and the classical Hilbert space of square-integrable functions. As a result, the projected data onto the principal component basis correspond to the CLRT-transformed densities, and the application of the inverse CLRT yields proper density functions. Furthermore, by modeling the historical series of FPCA loadings as a stochastic process, we exploit the FPCA representation for forecasting purposes. Finally, we discuss extensions of this framework to cross-asset analyses and to the modeling of option price surfaces.
This is a joint work with A. Amici e G. Fusai.
 
Attendance is also possible online (Microsoft Teams), clicking here.
 
All news can be found on the QFinLab webpage.
The organizers: Michele Azzone and Alessandro Calvia.
 

QFinLab Seminar – Marco Tolotti (Università Ca’ Foscari Venezia)

Jun 09 2025

Dear colleagues,

you are all invited to participate in the following seminar organized by QFinLab – Department of Mathematics, Politecnico di Milano.

Monday, 9 June 2025, 12.15-13.15

Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus)

Marco Tolotti (Università Ca’ Foscari Venezia)

TitleMarket Dynamics, Learning, and the Equity Premium Puzzle in an Agent-Based Model of Information Acquisition.

Abstract: We analyze a financial market with a large number of investors who use an imitation-based learning mechanism to choose among various strategies that differ in the amount and quality of information they incorporate. Agents’ strategies evolve through a straightforward learning mechanism in which traders occasionally imitate more successful strategies adopted by peers they encounter. In this context, equilibrium is defined as a state where investors, on average, win half the time and lose in the remaining periods.
Through an agent-based model, we show that at equilibrium, most investors rely on a limited number of strategies. In most scenarios, two strategies dominate: overly cautious traders, who hold little equity and capture the largest market share, and informed traders, who achieve higher average profits. Our model can help to justify the existence of an equity premium puzzle: in equilibrium, the higher mean profit of informed investors is associated with a median profit that is equal to that of more prudent or misinformed investors.

The organizers: Michele Azzone and Alessandro Calvia.


ALGODEFI25

Oct 16 2025

 

Algorithmic Trading, Decentralized Finance and Artificial Intelligence in Capital Markets

The conference is to be held on the October 16-17 2025 at Politecnico di Milano

Venue: Department of Mathematics

Conference Room: Aula Rogers

web site

Second edition

Call for papers: papers or extended abstract 

Deadline for submission: September 1st 

Notification of acceptance: September 15th

Deadline for registration: October 1st

Keynote speakers:

  • Paul Besson (Head of Quant Research, Euronext) TBD
  • Thierry Foucault (HEC Paris) AI-Powered traders and liquidity in securities markets
  • Martin Herdegen (University of Stuttgart) Optimal Dynamic Fees in Automated Market Makers
  • Eyal Neumann (Imperial College) Fredholm Approach to Nonlinear Propagator Models

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, 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.

Sponsorship: Banca Intesa Sanpaolo, IASON Ltd

Under the auspices of ASSIOM FOREX, SHIELD Project