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LTI@Unito webinar Lorenzo Schoenleber (CCA): “Investor Behavior under Prospect Theory: Evidence from Mutual Funds” | June 14, 2021 @12:45
by Luca Regis 10 Jun '21

10 Jun '21

Dear Colleagues, I am happy to share with you the following invitation to the Quantative Finance webinar organized by LTI@UniTO and Collegio Carlo Alberto, “Investor Behavior under Prospect Theory: Evidence from Mutual Funds” by Lorenzo Schoenleber (CCA), which will take place on Zoom on June 14th, at 12.45. Below you find the Zoom link and an abstract of the presentation. Best regards, Luca Regis <#> <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/CkeqzI9VH3wAjL0mIewldcmVdn9Kyki4A1…> <#> LTI@Unito and Fondazione Collegio Carlo Alberto are pleased to invite you to the following webinar <#> *June 14, 2021 | 12:45 - 13:45* *“Investor Behavior under Prospect Theory: Evidence from Mutual Funds”* *Lorenzo Schoenleber (Collegio Carlo Alberto)* <#> *Abstract. *This paper studies the investment behavior of investors and fund managers within the mutual funds industry. We find that investors are biased in their mutual fund purchase decisions in a way described by prospect theory: The prospect theory value predicts future mutual fund flows, despite the fact that it is not related to the mutual funds’ future performance. We show that the mutual funds’ prospect theory value contains incremental information compared to historical performance measures already discovered in the mutual fund flow literature, and subsumes the information content of variables related to the convexity in the flow-performance relationship. We find that mutual fund managers are not subject to any behavioral bias identifiable by prospect theory when selecting stocks for their mutual fund portfolio. The results are robust to various specifications. *Zoom Link:* *https://us02web.zoom.us/j/85611292343?pwd=U1dwYXZrZFQvR0RaZGwvZmplS2tFUT09 <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/79Qh76oDew-iI1lTKKd-JiGNLs42TkHRfm…>* Meeting ID: 856 1129 2343 Passcode: 401236 <#> <#> <#> <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/YmtAmHu7JhL3tEkSBLOh9PvpHnMR_PZzOe…> <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/AWpDX3iRxSwhx4MX6D5K64D_f2W6jUS_f2…> <#> FONDAZIONE COLLEGIO CARLO ALBERTO Piazza Arbarello 8 - 10122 Torino, Italy phone: +390116705000 segreteria(a)carloalberto.org - www.carloalberto.org Facebook <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/4RHP7RFelHmPbN3l7D0GqNF1iSMpQHHnP4…> Twitter <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/EPbbUwncGLMOBC2qw2aNITsMvBTfaFVZcL…> LinkedIn <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/DcHnPK_RQAOSwsn5P0Ykl5hEaDyjahuL3n…> Instagram <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/EUM8gEcq3q4LvNepOA15xKXC8xWWbOaKbx…> Youtube <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/9VeN44_sxivBMcSIflgJy1DuZHDI0j6YLh…> <#> *INFORMATION UNDER THE NEW GENERAL DATA PROTECTION REGULATION (GDPR)* Your personal information has been gathered for the exclusive purpose of informing you about the Collegio's initiatives, considering our and your legitimate interest or your consent. If you wish to have your personal data modified please contact Fondazione Collegio Carlo Alberto, piazza Arbarello 8, 1022 Torino, Italy - phone: +390116705000 - privacy(a)carloalberto.org *Unsubscribe* <https://4z5y5.r.a.d.sendibm1.com/mk/un/M20yHigHLYrRzldRVQQLRo4rkGtNRPqHqaQt…> <#> © 2021 Fondazione Collegio Carlo Alberto

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Concorso RTDb in MAT/06 presso l'Università di Trento
by Stefano Bonaccorsi 10 Jun '21

10 Jun '21

Care colleghe e colleghi, vi informo che è uscito in Gazzetta Ufficiale un bando da RTDb in S.C. 01/A3 Analisi matematica, Probabilità e Statistica matematica - S.S.D. MAT/06 Probabilità e Statistica matematica presso il Dipartimento di Ingegneria Civile, Ambientale e Meccanica dell'Università di Trento. L'iscrizione al bando dovrà essere completata entro le ore 13:00 del giorno 8 luglio 2021, tramite la procedura di compilazione e presentazione della domanda per via telematica a cui si accede attraverso il collegamento sottostante https://www.unitn.it/ateneo/bando-dr-valcomp/68453/valutazione-comparativa-… Stefano Bonaccorsi

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Summer School on Semiparametric Learning 26-30 July 2021, Trento
by Claudio Agostinelli 10 Jun '21

10 Jun '21

The Mathematical Statistics and Data Science research group at the Department of Mathematics, University of Trento, organizes a summer school in Semiparametric Learning. The school will take place in hybrid mode, with a maximum of 30 persons in presence. The Summer School will be held in Povo, on 26-30 July 2021. The school is free and includes lunches. Support for accommodation is available for some participants. In case of impediments due to the COVID-19 pandemic, the school will run completely from remote on the same dates. Information and registration: http://datascience.maths.unitn.it/events/spl2021/ Registration deadline: 10 July 2021 Kind regards, Claudio Agostinelli -- ------------------------------------------------------------- Claudio Agostinelli Dipartimento di Matematica Universita' di Trento email: claudio.agostinelli(a)unitn.it ------------------------------------------------------------ Per favore non mandatemi documenti in Microsoft Office/Apple iWork. Spediscimi invece OpenDocument! http://fsf.org/campaigns/opendocument/ Please do not send me Microsoft Office/Apple iWork documents. Send OpenDocument instead! http://fsf.org/campaigns/opendocument/ ------------------------------------------------------------

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(PMS)^2 online talk: Vincent Martinez, Monday June 14 at 17.30
by Margherita Zanella 09 Jun '21

09 Jun '21

Dear colleagues, we are happy to announce the following online talk: Speaker: Vincent Martinez (CUNY Hunter College) Title: On unique ergodicity, regularity, and mixing for the weakly-damped stochastic KdV equation. Abstract: We discuss the existence, uniqueness, and regularity of invariant measures for the damped-driven stochastic Korteweg-de Vries equation, where the noise is additive and sufficiently non-degenerate. It is shown that a simple, but versatile control strategy, typically employed to establish exponential mixing for strongly dissipative systems such as the 2D Navier-Stokes equations, can nevertheless be applied in this weakly dissipative setting to establish elementary proofs of both unique ergodicity, albeit without mixing rates, as well as regularity of the support of the invariant measure. Under the assumption of large damping, however, a one-force, one-solution principle is established, from which we are able to deduce the existence of a spectral gap with respect to a Wasserstein distance-like function. Date and time: Monday June 14, 17:30-18:30 (Rome time zone) Zoom link: https://us02web.zoom.us/j/85740643260?pwd=SzFjTXo0bWE3YjI3VWo0b3krT09kdz09 ID riunione: 857 4064 3260 Passcode: w7yJLi This talk is the fourth of the (PMS)^2: Pavia-Milano Seminar series on Probability and Mathematical Statistics organized jointly by the universities Milano-Bicocca, Pavia, Milano-Politecnico and Milano-Statale. Participation is free and welcome! (though limited to 100 participants for technical reasons). Best regards The organizers (Mario Maurelli, Carlo Orrieri, Maurizia Rossi, Margherita Zanella)

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(PMS)^2 online talk: Vincent Martinez, Monday June 14 at 17.30
by Margherita Zanella 09 Jun '21

09 Jun '21

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Fwd: [owps] One World Probability Seminar Thursday June 10 2021
by Faggionato, Alessandra 09 Jun '21

09 Jun '21

Buongiorno, Inoltro l'annuncio del OWPS di domani. Grazie dell'attenzione Saluti Alessandra ---------- Messaggio inoltrato ---------- Da: *One World Probability* <ow.probability(a)gmail.com> Data: mercoledì 9 giugno 2021 Oggetto: [owps] One World Probability Seminar Thursday June 10 2021 A: owps(a)lists.bath.ac.uk Dear All, Thursday June 10 we have two talks, by Allan Sly and Nike Sun. (Note: all times are in UTC. Due to time changes, you should check what that translates to in your location) ------------------------------------------------ (14:00-15:00 UTC) Speaker: Allan Sly Phase transitions in random constraint satisfaction problems - part I (14:00-15:00 UTC) Speaker: Nike Sun Phase transitions in random constraint satisfaction problems - part II Abstract: We will survey recent progress in determination of asymptotic behavior for random constraint satisfaction problems, including phase transitions and some refined understanding of solution geometry (the condensation phenomenon), particularly in the setting of the random regular NAE-SAT problem. We will discuss two ideas that played important roles in results obtained so far: (1) combinatorial models for the solution geometry, and (2) contractivity of tree recursions as a tool for calculating expected partition functions on sparse random graphs. This lecture is based in part on joint works with Zsolt Bartha, Jian Ding, Danny Nam, Youngtak Sohn, and Yumeng Zhang. The Zoom link is on the OWPS webpage. It can also be accessed directly via https://tum-conf.zoom.us/j/63864070779 <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftum-conf.…> Meeting-ID: 638 6407 0779 Kenncode: 726909 Best wishes, Julien and Nina -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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BISP12: videos of talks and virtual posters now available
by elisa varini 09 Jun '21

09 Jun '21

The *Twelfth Workshop on Bayesian Inference in Stochastic Processes* was successfully held on 27-28 May, 2021. We inform you that the entire event has been recorded and videos of the invited talks with discussions as well as the virtual posters are uploaded to the BISP12 website: https://bisp12.imati.cnr.it/ <https://bisp12.imati.cnr.it/> They will be available for some months. If you have questions or comments for the speakers, you are warmly invited to contact them. We had 10 junior invited speakers and 10 more senior discussants (within parentheses): • Atilla Ay, USA (Melike Baykal-Gursoy, USA) • Clara Grazian, Australia (Maria Concepcion Ausin, Spain) • Andrew Holbrook, USA (Katja Ickstadt, Germany) • Kaoru Irie, Japan (Sylvia Frühwirth-Schnatter, Austria) • Roi Naveiro, Spain (Mike West, USA) • Giovanni Rebaudo , USA (Bernardo Nipoti, Italy) • Claudia Solis-Lemus, USA (Nicholas Polson, USA) • Stéphanie Van Der Pas, The Netherlands (Antonio Lijoi, Italy) • Andi Wang, UK (Giacomo Zanella, Italy) • Paul Wu, Australia (David Banks, USA) We also had seventeen contributors who uploaded 20-minutes virtual posters and short videopresentations. We would also like to thank speakers, discussants and participants for the success of BISP12. Best regards and see you at the next BISP13 workshop in 2023. Elisa Varini and Fabrizio Ruggeri Chairs, Organising and Scientific Committees

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Fwd: Postdoc positions at Bielefeld University
by Marco Romito 08 Jun '21

08 Jun '21

-------- Forwarded Message -------- Subject: Postdoc positions at Bielefeld University Date: Tue, 8 Jun 2021 20:13:40 +0200 From: Benjamin Gess <benjamin.gess(a)gmail.com> To: Benjamin Gess <bgess(a)math.uni-bielefeld.de> Dear colleagues, at Bielefeld University, Faculty of Mathematics, two Postdoc positions (100%, E13 TV-L) are available in the research group of Prof. Dr. Benjamin Gess. The successful candidate(s) will work on projects in stochastic partial differential equations with application to statistical mechanics and interacting particle systems, or on aspects of the mathematics of machine learning. I would be happy if you could share the information further and forward it to possible candidates. More details can be found at: https://uni-bielefeld.hr4you.org/job/view/460/research-assistant-postdoc?pa… https://uni-bielefeld.hr4you.org/job/view/486/wissenschaftliche-r-mitarbeit… For questions, please contact Benjamin Gess at bgess(a)math.uni-bielefeld.de <mailto:bgess@math.uni-bielefeld.de>. Thank you in advance and my apologies for possible double postings. Best regards Benjamin Gess -- Prof. Dr. Benjamin Gess (www.bgess.de <http://www.bgess.de/>) Max Planck Institute for Mathematics in the Sciences <http://www.mis.mpg.de/index.html>, Leipzig Universität Bielefeld <https://www.math.uni-bielefeld.de/>, Fakultät für Mathematik

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2022 IMS Annual Meeting -- Probability & Statistics
by Elisabetta Candellero 08 Jun '21

08 Jun '21

A tutti gli interessati. --- Dear all, The 2022 IMS Annual Meeting in Probability and Statistics will be held in London, UK, on June 27-30 (with an online video option), here is the website of the conference: https://www.imsannualmeeting-london2022.com/ . I'd like to draw your attention to the current call for invited sessions in probability and statistics: https://www.imsannualmeeting-london2022.com/invited-sessions . Proposal submission is open, and will close on 1 September 2021, acceptance decisions will be made by 1 October 2021. There are 15 slots in probability and 15 in statistics to be filled as a result of this open call, each speaker will have 30 minutes, including Q&A. Further information is available on the website https://www.imsannualmeeting-london2022.com/invited-sessions . Best regards, Elisabetta

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Conference at CIRM
by Giovanni Conforti 08 Jun '21

08 Jun '21

Cari colleghi, Ecco l'annuncio di una conferenza al CIRM di Marsiglia che potrebbe interessarvi. Giovanni Dear All, We are happy to announce the upcoming conference “Schrödinger Problem and Mean-field PDE Systems: Computational and Theoretical Advances” taking place at CIRM in Luminy, France from Nov. 15 to Nov. 19 2021. The webpage of the event is publicly available at https://conferences.cirm-math.fr/2413.html and you can find below a brief description of the themes of the conference. Registration is open until July 1st. At the moment we aim for a hybrid (online+in person) conference, but this could change depending on the development of the pandemic. Limited funding is available for junior participants or participants who cannot support themselves. Moreover, there are also some free slots for contributed talks. We hope to see you soon, in whichever form. Best regards, the organizers. Julio Backhoff, Guillaume Carlier, Giovanni Conforti, Ivan Gentil, Daniela Tonon. -------------------------------------------------------------------------------------------------------------------------------------------- “Schrödinger Problem and Mean-field PDE Systems: Computational and Theoretical Advances” Monge’s question of how to optimally move sand-pile stands at the origin of the modern theory of optimal transport. The development of this theory over the last decades led to impressive advances in analysis and geometry, reaching out to applied fields such as economics and machine learning. One and a half century after Monge, Schrödinger asked: “What is the most likely evolution of a cloud of random particles conditionally on the observation of their initial and final configurations? "This question, going under the name of Schödinger Problem, initiated a research line that has grown enormously in the last years since it was understood that Schrödinger’s and Monge’s questions are the same when the fluctuations of the random particles are very small. This discovery offered a natural ground for the theories of optimal transport and large deviations to meet and thrive together. At the same time, it also inspired the use of entropic regularization techniques in machine learning and numerics for PDEs, achieving major computational advantages. Asking Schrödinger’s question for strategic particles is the gateway to connect the Schrödinger problem and large deviations with the theory of mean field stochastic control and planning mean field games. This brings to light new mathematical questions. Can entropic regularization speed up the computation of Nash equilibria? Are there new functional inequalities that capture the ergodic behaviour of mean field games? Bringing together researchers from the areas of probability, optimal transport, statistical machine learning and mean field games, this conference aims to strengthen the interplay between the Schrödinger problem and mean field systems, and facilitate the birth of novel methodologies and results.

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