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FRIT2026 Workshop – Announcement and Call for Participation
by Alessandro Doldi 14 Apr '26

14 Apr '26

Dear colleagues, we are pleased to announce the workshop Frontiers in Risk and Investment Theory (FRIT 2026), which will take place at Hotel La Palma, Stresa (Lake Maggiore, Italy), on September 20–22, 2026. The aim of the workshop is to bring together researchers in several areas of Mathematical Finance to present and discuss recent developments in the field. The conference will be held in person. The program will feature invited lectures by: Beatrice Acciaio, Francesca Biagini, Jean-Pierre Fouque, Massimo Marinacci, Thilo Meyer-Brandis, Jan Obłój, Wolfgang Runggaldier, Walter Schachermayer, Martin Schweizer, Nizar Touzi. The conference will also be a special occasion to celebrate the 65th birthday of Marco Frittelli. A small number of slots are available for contributed talks. Participants interested in giving a short presentation are kindly invited to contact us at conferencefrit26(a)gmail.com<mailto:conferencefrit26@gmail.com>, including a proposed title and a brief abstract. Participation is free of charge, but registration is mandatory. The deadline for registration is June 30, 2026. Please note that the number of participants is limited. Further information is available at: https://sites.google.com/view/<https://sites.google.com/view/frit2026><https://sites.google.com/view/frit2026>frit2026<https://sites.google.com/view/frit2026> We would be grateful if you could circulate this announcement among colleagues who may be interested. We look forward to welcoming you to Stresa. Best regards, The Organizing Committee

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Procedura selettiva 2026RTT02 - Università di Padova
by Alessandra Fabbri Colabich 14 Apr '26

14 Apr '26

Si informa che è stato pubblicato il bando *2026RTT02 * relativo all'indizione di una procedura selettiva per l’assunzione di n. 5 ricercatori a tempo determinato in tenure-track (RTT) ai sensi dell’art. 24 della legge 240/2010 come modificato dalla L. 79/2022. In particolare, presso il Dipartimento di Scienze Statistiche: - uno nel *GSD 13/STAT-01*, SSD STAT-01/A STAT-01/B (Allegato 2) Info al link: https://www.unipd.it/procedura-2026RTT02 *Scadenza: 11.05.2026 ore 13* Si prega di dare la massima diffusione presso tutti gli interessati. Grazie per la collaborazione Alessandra Fabbri Colabich -- *dott.ssa Alessandra Fabbri Colabich* Dipartimento di Scienze Statistiche Università degli Studi di Padova Complesso di Santa Caterina - Via Cesare Battisti 241 - 35121 Padova T +390498274195 unipd.it ---------------------------------------------------------- *RISPETTA L'AMBIENTE. STAMPA SOLO SE NECESSARIO*

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Tutorial on group-theoretic methods for Markov-chain mixing times
by Enrico Scalas 14 Apr '26

14 Apr '26

Dear Colleagues, On Wednesday 15 April 2026, in Room A6, via Ariosto 25, Rome, from 16:45 to 18:15, Lorenzo Facciaroni will present a seminar on: Introduction to group-theoretic methods for Markov-chain mixing times: The example of the random walk on the hypercube. The seminar is part of the course Stochastic Processes for Data Science, but external attendance is welcome. Due to limited seat numbers, if you are interested in joining, just send a message to: enrico.scalas(a)uniuroma1.it Best regards, Enrico Scalas

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Call for expressions of interest: PhD positions in Verona
by Athena Picarelli 13 Apr '26

13 Apr '26

Dear all, We are looking for PhD students for the track *"Mathematics and Data Analytics for Finance" *of our* PhD program in "Economics and Finance"*. This is a 4-year PhD program. The objective of the "Mathematics and Data Analytics for Finance" track is to prepare students for academic/professional careers in Financial Mathematics and Data Analytics according to the highest international standards. We welcome applications from students with a strong background in mathematics, physics, statistics, quantitative finance or other highly quantitative disciplines. During the first year, students will be offered a research-oriented training program. Core compulsory courses are: 1) Financial Time Series 2) Mathematical Statistics 3) Financial Mathematics 4) Continuous Time Econometrics 5) Stochastic Optimization and Control 6) Stochastic Processes in Finance Courses are coordinated by Giuseppe Buccheri, Lorenzo Frattarolo, Alessandro Gnoatto, Cecilia Mancini, Athena Picarelli, Catia Scricciolo, Sara Svaluto-Ferro under the supervision of Athena Picarelli (director of the PhD program). We will also offer a wide basket of elective courses offered by leading international experts. The attendance of Summer and Winter schools and an international research stay of at least 6 months are strongly encouraged. Financial support is provided. To express your interest, please send your CV to *athena [dot] picarelli [at] univr [dot] it* The call will officially open by the first week of May. You can find further information on the group of researchers in *Financial and Insurance Mathematics and Econometrics* of the University of Verona at the following link: https://linux2.dse.univr.it/quantlab/index.html Best wishes, Athena Picarelli -- *Athena Picarelli* Professor Coordinator of the PhD program in Economics and Finance Dipartimento di Scienze Economiche Università di Verona Polo Santa Marta, Verona.

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Funded PhD Opportunity in Decentralized Finance at Dublin City University
by Paolo Guasoni 13 Apr '26

13 Apr '26

Expressions of interest are invited for a funded PhD position in Decentralized Finance at Dublin City University, beginning on 1 October 2026. The position offers a stipend of EUR 25,000 per year. Candidates should have strong training in mathematics, familiarity with programming, and a strong interest in decentralized finance. Interested candidates should send a CV, transcripts (undergraduate and above), and the names and email addresses of their referees to paolo.guasoni(a)dcu.ie by 30 April 2026. Successful candidates will be invited to an online interview by 15 May 2026. Best regards, Paolo Guasoni -- Séanadh Ríomhphoist / Email Disclaimer Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Tá cosc iomlán ar scaipeadh, dháileadh nó chóipeáil neamhúdaraithe ar an teachtaireacht seo agus ar aon cheangaltán atá ag dul leis. Má tá an ríomhphost seo faighte agat trí dhearmad cuir sin in iúl le do thoil don seoltóir agus scrios an teachtaireacht. D’fhéadfadh sé gurb iad tuairimí an údair agus sin amháin atá in aon tuairimí nó dearcthaí atá curtha i láthair sa ríomhphost seo agus níor chóir glacadh leo mar thuairimí nó dhearcthaí Ollscoil Chathair Bhaile Átha Cliath. Ní ghlactar leis go bhfuil cumarsáid ríomhphoist den sórt seo saor ó víreas, in am, slán, nó saor ó earráid agus ní ghlacann Ollscoil Chathair Bhaile Átha Cliath le dliteanas in aon chás den sórt sin ná as aon iarmhairt a d’eascródh astu. This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Any unauthorised dissemination, distribution or copying of this message and any attachments is strictly prohibited. If you have received this e-mail in error, please notify the sender and delete the message. Any views or opinions presented in this e-mail may solely be the views of the author and cannot be relied upon as being those of Dublin City University. E-mail communications such as this cannot be guaranteed to be virus-free, timely, secure or error-free and Dublin City University does not accept liability for any such matters or their consequences. -- <https://www.facebook.com/DCU/> <https://twitter.com/DCU> <https://www.linkedin.com/company/dublin-city-university> <https://www.instagram.com/dublincityuniversity/?hl=en> <https://www.youtube.com/user/DublinCityUniversity>

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Seminar Keles at Tor Vergata, April 20
by Michele Salvi 13 Apr '26

13 Apr '26

Dear all, On Monday, April 20th, at 14h00 in Aula Dal Passo in the Math Department of the University of Rome Tor Vergata, RoMaDS (https://www.mat.uniroma2.it/~rds/events.php) will host Ahmet Keles (New York University), with the seminar “Fisher-Hartwig asymptotics for non-Hermitian random matrices” Abstract: In this talk, I will present the two-dimensional analogue of the asymptotics for Toeplitz determinants with Fisher-Hartwig singularities, for general real symbols. A key focus of the talk will be the surgery method we developed to handle these singularities and establish global asymptotics. I will also discuss applications of this result, including the convergence of the characteristic polynomial of random normal matrices to Gaussian Multiplicative Chaos measure. Based on joint work with Paul Bourgade, Guillaume Dubach, and Lisa Hartung. We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming: Seminar: Keles | Join meeting in Teams | Microsoft Teams <https://teams.microsoft.com/meet/350026120586403?p=39yQDfTb2SlgxQXC1W> The seminar is part of the Excellence Project MatMod@TOV.

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Sylvia Fruehwirth-Schnatter Seminar at Ca' Foscari University of Venice - 20 April 2026
by Roberto CASARIN 13 Apr '26

13 Apr '26

Dear Colleagues Professor Sylvia Fruehwirth-Schnatter (Institute for Statistics and Mathematics, WU Vienna University of Economics and Business, Austria) will give the seminar: Skew Sparse Bayesian Factor Analysis Monday, April 20 at 12:15 CEST, Meeting Room 1, by the Department of Economics, San Giobbe Campus, Ca' Foscari University of Venice It will be possible also to attend on Zoom here: https://unive.zoom.us/j/83783375271?pwd=va9ph6IbOQmMth9FJMCtelXv7ahUeu.1 All the interested people are warmly invited to attend! Abstract: Factor analysis is a popular method to obtain a sparse representation of the covariance matrix of multivariate observations and to uncover the unobserved driving factors behind observed correlation. A challenge for factor models is to estimate the unknown number of factors and to recover an interpretable factor loading matrix from the data. Research in the area of sparse Bayesian factor analysis successfully addresses these issues within a Bayesian framework through the help of variable selection and shrinkage priors, see Frühwirth-Schnatter, Hosszejni and Lopes, 2025 for a recent review. Most approaches to sparse Bayesian factor analysis, however, rely on the assumption that the idiosyncratic errors are Gaussian. In the present talk, this restrictive assumption is alleviated by assuming that the idiosyncratic error follow Azzalini’s multivariate skew-normal or skew-t distribution. Such a non-Gaussian factor model has a stochastic representation as a Gaussian factor model with an additional factor following a truncated standard normal distribution and the skewness parameters acting a factor loadings. This representation is exploited in the present talk to perform sparse Bayesian inference and learn the number of factors and the sparse loading matrix also for non-Gaussian factor models. Applications to financial time series will serve as an illustration. More information available here: https://www.unive.it/data/agenda/3/109034 -- Roberto Casarin, PhD Professor of Econometrics Ca' Foscari University of Venice San Giobbe 873/b - 30121 Venezia, Italy http://sites.google.com/view/robertocasarin/ https://www.unive.it/vera <https://www.unive.it/isba2024>

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[SURE-AI @ STAR Seminars] Wed Apr 22 - Luca Galimberti
by Leonardo Tarquini 13 Apr '26

13 Apr '26

Dear all, Join us for our upcoming talk in the SURE-AI @ STAR seminar<https://www.mn.uio.no/math/english/research/groups/risk-stochastics/star-se…> series on Wednesday, April 22nd, from 11:00 to 12:00 (Oslo time). As always, the talk will take place in a hybrid format: participants in Oslo can attend the talk in Room 723 in Niels Henrik Abels hus, whereas the international audience will be able to follow the talk via Zoom<https://uio.zoom.us/j/69338752617>. The speaker is Luca Galimberti (King's College London) with the talk: Title: Deep Learning methods for Limit Order Books: an Infinite-Dimensional Perspective Abstract: Moving from the optimal liquidation problems proposed by Abi Jaber and Neuman (2024), we study operator learning in the context of linear propagator models with transient price impact à la Bouchaud et al. (2004) and Gatheral (2010). Transient price impact persists and decays over time according to some square integrable propagator kernel H. More specifically, we show that the optimal execution strategy u = u(H) depends continuously on H, therefore giving rise to a highly non-linear continuous solution operator S between suitable infinite-dimensional Banach spaces. In view of an appropriate infinite-dimensional Universal Approximation Theorem, this operator S can in turn be approximated via ad hoc neural architectures, offering a quick to evaluate surrogate of the operator S in rapidly varying market conditions. The seminar is in the interest of SURE-AI - Sustainable, Risk-Averse and Ethical AI<https://www.sure-ai.no>. We are looking forward to seeing you! Best regards, Giulia, Leonardo, Pere, and David

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Next Webinar PRISMA - April 13, 2026 - Speakers: Jodi Dianetti & Giorgio Ferrari
by Luciano Campi 13 Apr '26

13 Apr '26

Webinar of the team UMI - PRISMA (http://www.umi-prisma.polito.it/) PRISMA webinars follow a colloquium-style format designed to foster exchange and discussion within the Italian probability and statistics community. Each session features two speakers, who give two closely connected 30-minute talks providing the community with a perspective on their research area. Over the past few years, recordings of the seminars have been made available on the UMI YouTube channel: https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb The next event is scheduled for Monday, April 13, 2026. The speakers will be Jodi Dianetti (Università di Roma Tor Vergata) and Giorgio Ferrari (University of Bielefeld), who will speak on: Singular Stochastic Controls in Reinforcement Learning and Mean-field Problems According to the following schedule 16:00 1st seminar 16:30 Break and discussions 16:45 2nd seminar 17:15 Conclusions and discussions The abstract can be found below. The seminars will be streamed on Teams at the following link: <https://teams.microsoft.com/meet/336647845045160?p=BZrq2TCGqLcOqxzVsv> teams.microsoft.com<https://teams.microsoft.com/meet/336647845045160?p=BZrq2TCGqLcOqxzVsv> [X]<https://teams.microsoft.com/meet/336647845045160?p=BZrq2TCGqLcOqxzVsv> We look forward to seeing many of you there! Luciano Campi, Maurizia Rossi %%%%%%%%%%%%%%%%%%%%%%%%%%%% SPEAKERS: Jodi Dianetti (Università di Roma Tor Vergata) and Giorgio Ferrari (Bielefeld University) TITLE: Singular Stochastic Controls in Reinforcement Learning and Mean-field Problems ABSTRACT: This talk is divided into two parts, both devoted to stochastic control problems with singular controls. In both cases, a connection with optimal stopping plays a key role, although it arises in different ways and from different perspectives. In the first part, we consider optimal stopping problems from a reinforcement learning perspective. We formulate the stopping decision through randomized stopping times, modeled by bounded, nondecreasing, càdlàg control processes, and introduce an entropy regularization that promotes exploration. The resulting problem can be rewritten as a degenerate, finite-fuel singular stochastic control problem. Using dynamic programming, we characterize the optimal exploratory policy, obtain semi-explicit solutions in a real-option setting, analyze the vanishing-entropy limit, and propose a policy-iteration reinforcement learning algorithm with convergence guarantees. In the second part, we turn to mean-field control problems with singular controls over a finite horizon, allowing for general dependence on the distribution of the state. We show that these problems can be linked to a mean-field game with singular controls, and that equilibria of this game yield optimal controls for the original problem. For a mean-field version of the classical monotone follower problem, the associated equilibrium is characterized by exploiting its connection with optimal stopping together with a Kakutani-Fan-Glicksberg fixed-point argument, leading to a complete characterization of the optimal control in terms of a moving free boundary that uniquely solves a nonlinear integral equation. The talk is based on (ongoing) joint works with Andrea Amato, Federico Cannerozzi, and Renyuan Xu. --------------------------------------------------------

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Liuren Wu Seminar - University of Florence, DISEI, April 21
by Federico Maglione 12 Apr '26

12 Apr '26

Dear Colleagues, We are pleased to announce that Prof. Liuren Wu will be visiting the Department of Economics and Management (DISEI) at the University of Florence and will deliver a seminar on Tuesday, April 21st. Speaker: Liuren Wu (Zicklin School of Business, Baruch College, City University of New York) Title: Separate Risk from Optionality Abstract: Investors are averse to risk but love convex payoffs. This paper proposes to use a security’s delta and vega exposures to differentiate the contributions from linear risks and convex payoffs. We construct the delta and vega exposures on the stock and bond of a company through a classic structural model representation, and build a joint stock and bond return factor model linking their return variation to their delta and vega exposure estimates. The delta factor portfolio targeting linear asset return risk generates a significantly positive average excess return. The vega portfolio targeting the optionality exposure generates a significantly negative average excess return. The separation of asset return risk from optionality sheds light on several market observations, including the distress puzzle in the stock and bond markets, the bet-against-beta anomaly, and time-varying stock-bond co-movements. The seminar will be held in person at 2:45 PM at DISEI, Via delle Pandette 9, 50127 Florence, Aula Bracco (1st floor, Building D6). Best Regard, Federico Maglione, PhD Assistant Professor of Mathematical Finance Erasmus+ Delegate ¦ Degree in Sustainable Business for Societal Challenges UNIVERSITY OF FLORENCE Department of Economics and Management Via delle Pandette, 9, 50127 Firenze

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