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Special issue of "Mathematical Finance" on "Climate and Nature Risk in Mathematical Finance" (fwd)
by Tiziano Vargiolu 25 Feb '25

25 Feb '25

Apologies for cross-postings. ----------------------- Special Issue on Climate and Nature Risk in Mathematical Finance Guest Editors: Andrea Macrina & Peter Tankov New extended deadline for submissions: 30 April 2025 The urgency and complexity of the climate crisis call for contributions from many scientific domains. In finance, modelling challenges posed by the environmental transition and by the climate change and nature-related risks call for inter- and transdisciplinary approaches, based on a multitude of data sources and long-term projections taking into account deep uncertainty. The mathematical finance community, which has developed robust systematic approaches to financial modelling and risk management, is well placed to address these challenges and has already made numerous quantitative contributions to the field of green finance. Mathematical Finance will dedicate a Special Issue to Mathematical Finance for Climate and Nature to further emphasise this area of research. Submissions to the Special Issue should develop and apply novel mathematical and statistical methods to financial and economic problems arising in the field of green finance and meet the editorial standards of Mathematical Finance as detailed in the aims and scope statement of the journal. Submissions with a policy or industry perspective are encouraged. We invite in particular the submission of original research articles on the following topics: * Assessment of climate and nature-related risks and uncertainties in financial systems; climate stress testing. * Study of transmission channels of physical risks, transition risk and nature-related risks to asset prices, portfolios and the stability of the financial system. * Optimal policies and incentives for environmental transition and adaptation of the economy, from the central planner perspective and in decentralised systems. * Optimal design and study of financial and insurance products, including derivative products, for managing climate and nature-related risks and for financing the environmental transition and adaptation. * Design and study of transition scenarios; quantification of scenario uncertainty * Net zero investment: quantitative methodologies for constructing net-zero-aligned portfolios and portfolios with positive impact on nature and biodiversity. * Study of innovative datasets and numerical methods, including AI-based methods, in support of the above topics. * Design of medium and long-term risk management methods accounting for potential policy changes and systemic alterations of market structures and stability. * Impact of climate and nature risks on emerging markets and developing economies. Please submit your contributions through the journal’s web submission portal before 30 April 2025. Please indicate in your submission that it is intended for the ‘Special Issue on Climate and Nature Risk in Mathematical Finance’. All submissions will undergo the usual review process for the journal. -- Peter Tankov Professor of quantitative finance, ENSAE, IP Paris Phone: +33 1 70 26 68 73 Email: peter.tankov(a)ensae.fr https://sites.google.com/site/petertankov https://www.parc-research.org/ https://pladifes.institutlouisbachelier.org/

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Seminar Ziyi Song @ Unimib
by Federico Camerlenghi 25 Feb '25

25 Feb '25

Dear all, we are glad to announce the next DEMS seminar in Statistics: *Wednesday, 5th March 2025* *Time 12.00*, Seminar room 2104, Department of Economics, Management and Statistics (DEMS) Building U7, second floor, University of Milano - Bicocca The speaker is Ziyi Song (University of California, Irvine). *TITLE:* Clustering computer-mouse tracking data with informed hierarchical shrinkage partition priors *ABSTRACT:* Mouse-tracking data, which record computer mouse trajectories while participants perform an experimental task, provide valuable insights into subjects’ underlying cognitive processes. Neuroscientists are interested in clustering the subjects’ responses during computer mouse-tracking tasks to reveal patterns of individual decision-making behaviors and identify population subgroups with similar neurobehavioral responses.These data can be combined with neuroimaging data to provide additional information for personalized interventions. In this article, we develop a novel hierarchical shrinkage partition (HSP) prior for clustering summary statistics derived from the trajectories of mouse-tracking data. The HSP model defines a subjects’ cluster as a set of subjects that gives rise to more similar (rather than identical) nested partitions of the conditions. The proposed model can incorporate prior information about the partitioning of either subjects or conditions to facilitate clustering, and it allows for deviations of the nested partitions within each subject group. These features distinguish the HSP model from other bi-clustering methods that typically create identical nested partitions of conditions within a subject group. Furthermore, it differs from existing nested clustering methods, which define clusters based on common parameters in the sampling model and identify subject groups by different distributions. We illustrate the unique features of the HSP model on a mouse tracking dataset from a pilot study and in simulation studies. Our results show the ability and effectiveness of the proposed exploratory framework in clustering and revealing possible different behavioral patterns across subject groups. The paper has been published on Biometrics. <https://academic.oup.com/biometrics/article/80/4/ujae124/7850951?login=true> Best wishes, Federico Camerlenghi

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Scholarships Available: Greening Energy Market and Finance Erasmus Mundus Joint Master
by Paolo Guasoni 24 Feb '25

24 Feb '25

*Greening** Energy Market and Finance Erasmus Mundus Joint Master* <https://site.unibo.it/grenfin-emjm/en> An “*Erasmus+ Erasmus Mundus Joint Master*” programme *ABOUT GRENFIN-EMJM* Greening Energy Market and Finance - GrEnFIn is a* 24-month Erasmus Mundus Joint Master* offering *120 ECTS*, culminating in *a multiple degree* issued by *three partner universities:* *1. **UNIBO, Alma Mater Studiorum Università di Bologna* <https://www.unibo.it/en/homepage>*, Italy, programme coordinator * *2. **LMU, Ludwig-Maximilians-Universität München* <https://www.lmu.de/en/about-lmu/>*, Germany, full partner * *3. **UPD, Université Paris Dauphine* <https://dauphine.psl.eu/en/>*, France, full partner* The best students selected, coming from all over the world, will have the opportunity to join an exciting international environment and will be trained to become *Sustainable Energy Experts*, *professionals able to face the energy transition and the environmental challenges* capable of addressing evolving challenges in the energy sector with a comprehensive global perspective. *APPLICATION DEADLINE FOR THE ACADEMIC YEAR 2025-2026* *March 3, 2025, *for EU and NON-EU candidates*. * *SCHOLARSHIPS AND FINANCIAL SUPPORT* Prestigious Erasmus Mundus scholarships are available for the best qualified applicants, covering fees and an allowance of €1400 monthly. *ASSOCIATED PARTNERS* Associated partners will support the Programme in various ways, playing an active role offering research opportunities to students, e.g. for internship/RAship and Master thesis, delivering lectures at the annual GrEnFIn Summer/Winter school or as guest lecturers at the three partner universities. *ADMISSION REQUIREMENTS* - A *good level first-cycle degree* in the field of Mathematics, Physics, Economics, Statistical Sciences, Information Technology, Engineering. - A *certified level of proficiency* *in English* (minimum level *B2*). - An *adequate personal training* assessed on the basis of the academic merit, the curriculum vitae and an online assessment test. We would be very grateful if you could disseminate the information about the opportunity offered by GrEnFIn-EMJM to interested students and institutions as much as possible. Should you need any further details or information, please do not hesitate to contact us at the following address: grenfin.emjm(a)unibo.it https://site.unibo.it/grenfin-emjm/en -- * *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. Is féidir tuilleadh a léamh anseo. * *This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here.* * -- <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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SPASS Seminar: Francesca Pieroni
by Gianmarco Bet 24 Feb '25

24 Feb '25

Dear Colleagues, We would like to invite you to the following SPASS seminar, jointly organized by UniPi, SNS, UniFi and UniSi: *The Random Euclidean Matching for Gaussian densities* by *Francesca Pieroni *(*Sapienza*) The seminar will take place on TUE, 04.03.2025 at 14:00 CET in Aula Tricerri, Dipartimento di Matematica e Informatica "Ulisse Dini", Università degli Studi di Firenze, and streamed online at this link <https://meet.google.com/njf-mxow-mjj>. The organizers, A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco https://sites.google.com/unipi.it/spass -------------------------------------------- *Abstract: The Random Euclidean Matching is the problem of finding the optimal matching between two sets of independent random variables X1,…,Xn and Y1,…,Yn distributed in R^d with a probability density ρ. The main problem is first to minimize the quantity Cn(π):=\sum_{i=1}^n|Xi-Yπi|^p with respect to the permutations π of the indexes {1,…,n}, and then to study the expectation of the minimum of Cn(π) with respect to the probability distribution of the variables, for fixed p and d and for large n.The object of this talk is the case of Gaussian random variables, that is, when the variables are independent and distributed in R^d with the Gaussian probability density.*

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Cancellation OWABI - Ayush Bharti - Feb 27
by Massimiliano Tamborrino 24 Feb '25

24 Feb '25

Dear all, unfortunately, the next OWABI seminar, initially scheduled on February 27, has been cancelled due to unforeseen circumstances. Ayush Bharti's talk will be rescheduled on the 24th April. Our next OWABI talk will be given by Meïli Baragatti<https://www.vinifera-euromaster.eu/team/meili-baragatti/> (Assistant Professor Institut Agro Montpellier) on Approximate Bayesian Computation with Deep Learning and Conformal prediction on Thursday the 27th March 2025. More info will follow. Best, Massimiliano on the behalf of the OWABI Organisers ------ Dr. Massimiliano Tamborrino Reader and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino ________________________________ From: Tamborrino, Massimiliano Sent: 13 February 2025 12:37 To: abc_world_seminar(a)listserv.csv.warwick.ac.uk <abc_world_seminar(a)listserv.csv.warwick.ac.uk> Subject: OWABI - Ayush Bharti - Feb 27 Dear all, the next OWABI seminar<http://www.warwick.ac.uk/oneworldabc> is scheduled on Thursday the 27th February at 11am. I am pleased to inform you that our next speaker is Ayush Bharti (Aalto University), who will talk about "Cost-aware simulation-based inference ", with an abstract reported below. The talk will be streamed on MS Teams on the OWABI Ms Teams channel OWABI Seminar: One World Approximate Bayesian Inference Seminar | General | Microsoft Teams<https://teams.microsoft.com/l/team/19%3AdhZ_4e_XLNJzCXPAMzTvT6BZ5KShEETkd_w…> You could join the meeting with the link and details below Join the meeting now<https://teams.microsoft.com/l/meetup-join/19%3adhZ_4e_XLNJzCXPAMzTvT6BZ5KSh…> Meeting ID: 311 178 293 223 Passcode: zg3E8kw3 Important: The virtual lobby has been removed, so everyone should now be able to join the seminar without any authorisation. Abstract: Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. A significant challenge in this context is the large computational cost of simulating data from complex models, and the fact that this cost often depends on parameter values. We therefore propose cost-aware SBI methods which can significantly reduce the cost of existing sampling-based SBI methods, such as neural SBI and approximate Bayesian computation. This is achieved through a combination of rejection and self-normalised importance sampling, which significantly reduces the number of expensive simulations needed. Our approach is studied extensively on models from epidemiology to telecommunications engineering, where we obtain significant reductions in the overall cost of inference. Keywords: simulation-based inference, approximate Bayesian computation, neural posterior estimation, neural likelihood estimation, importance sampling Best, Massimiliano on the behalf of the OWABI Organisers ------ Dr. Massimiliano Tamborrino Reader and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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International Conference in Venice - CALL FOR PAPERS
by Monica Billio 23 Feb '25

23 Feb '25

24th INTERNATIONAL CONFERENCE CREDIT 2025 *Emerging Global Financial Systems: Exploring Polarization, Systemic Risks, Innovation, and Sustainable Solutions *Venice, Italy 25 –26 September 2025 * * *GRETA Associati* (Venice, Italy),*European Datawarehouse* (Frankfurt, Germany), and *Intesa Sanpaolo *(Milan, Italy) are partners in organasing a Conference to be held in Venice on September 25-26, 2025. The CREDIT 2025 conference will bring together academics, practitioners and PhD students working in various areas of financial and socio-economic risk with the aim of creating a unique opportunity for participants to discuss research progress and policy as well as industry-relevant insights and directions for future research. The CREDIT 2025 is the *twenty-fourth* in a series of events dedicated to various aspects of risk and organised under the auspices of: the *Department of Economics* and *VERA - Venice centre in Economic and Risk Analytics for public policies* - of the *Ca’ Foscari University of Venice*, *Joint Research Center European Commission*, and *ABI - Italian Banking Association*. Sustainability necessitates a global perspective, requiring the adaptation of contemporary business and societal models to navigate the dynamic landscape of the future. Policymakers and society must ensure that resources, particularly technology, are utilized responsibly and efficiently to enhance the well-being of both present and future generations while cultivating a harmonious relationship with the environment. This strategy is vital in addressing sustainability issues such as poverty, environmental degradation, pollution, and inequality. Effective global risk management is vital for bridging divisions and fragmentation through innovation. The organizers encourage submissions on any topic within the overall theme of the conference and in the following areas in particular: *Framing Global Challenges* * Macroeconomic Polarization and Financial Fragmentation o Economic bifurcation between advanced and emerging markets. o Trade conflicts and their financial spillovers. o Policy responses to maintain global economic stability. * Geopolitical Risks and Global Financial Stability o Implications of geopolitical tensions on global financial markets: capital flows and volatility. o Risk management strategies for financial institutions navigating geopolitical uncertainty. o The role of national and international economic policies: shaping a new geopolitical and economic order. * Technological Innovation in Finance and Insurance o Digital transformation in the insurance sector: a driver of resilience or disruption? o Financing Deep Tech. o Regulating innovation to balance opportunity and risk. *Risk Management and Resilience* * Climate Change as a Systemic Risk o Impact of climate-induced events on financial and insurance markets. o Climate risk modeling and its implications for global governance. o Financing the green transition: opportunities for insurers and institutional investors. * Addressing Socioeconomic Disparities o Polarization in wealth distribution and its implications for insurance coverage. o Designing inclusive financial products to address underinsurance in vulnerable populations. o The role of insurance in enhancing societal resilience to systemic shocks. *Towards a Sustainable Future* * Innovating Governance for Future Risks o Cross-border cooperation for risk regulation and mitigation. o Addressing new risks in cyber security, health crises, and technological disruptions. o Innovative governance models in finance and insurance. The final program will include both submitted and invited papers. Acceptances received so far from invited speakers include *Andrew Lo *(MIT Sloan School of Management). The Conference will also include panel discussions on the major issues at stake with the views of researchers', practitioners' and policy makers. The SCIENTIFIC COMMITTEE for the Conference consists of: *Andrew Lo* (MIT Sloan School of Management, Programme Chair) *Monica Billio *(Ca’ Foscari University of Venice & GRETA) *Lucia Alessi *(Joint Research Center, European Commission) *Marie Brière *(AMUNDI & Université Libre de Bruxelles) *Mila Getmansky Sherman *(Isenberg School of Management, UMass Amherst) *Marcin Kacperczyk* (Imperial College London) *Jan Pieter Krahnen* (Leibniz Institute for Financial Research SAFE & Goethe University, Frankfurt) *Steven Ongena *(University of Zurich, Swiss Finance Institute, KU Leuven, NTNU Business School & CEPR) *Loriana Pelizzon *(Ca’ Foscari University of Venice & Leibniz Institute for Financial Research SAFE) *Roberto Rigobon* (MIT Sloan School of Management)* Stephen Schaefer *(London Business School) *Marti Subrahmanyam* (NYU Stern Business School) CALL FOR PAPERS Those wishing to present a paper at the Conference should submit by *May 31, 2025 *to the address given below (preferably in electronic format). Please indicate to whom correspondence should be addressed. Decisions regarding acceptance will be made by *June 30, 2025*. The final version of accepted papers must be received by August 31, 2025. Please send papers to: GRETA, Dorsoduro 3707, 30123, Venice, Italy Phone : +39 349 060 3656 - e-mail: credit(a)greta.it More detailed information available on the Conference website: https://www.greta.it/index.php/it/credit-2025 <https://www.greta.it/index.php/it/credit-2025>

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[CfP] - International Workshop on Trustworthiness and Reliability in Neurosymbolic AI - IJCNN2025
by Lorenzo Di Rocco 21 Feb '25

21 Feb '25

[Apologies if you receive multiple copies of this CFP] Call for Papers - International Workshop on Trustworthiness and Reliability in Neurosymbolic AI @ IJCNN2025 July 5th, 2025, Rome, Italy https://sites.google.com/view/trns-ai ABOUT Neurosymbolic AI is a new growing trend that has been able to merge the recent advances in AI through deep learning with logic and rule-based methods. The application of neurosymbolic AI seems to be spreading across many contexts, from image classification to Visual Question Answering. It has an expressive and semantic power that is not usually provided by classical deep learning. In addition, it has great potential in explainability, due to the logic-based methodologies that are a strong component of this context. These capabilities are only a starting point in XAI, they need to be explored in detail to facilitate the interpretability of whole models, in any part of them and not only in terms of the natural relationships that can be discovered. This workshop will focus on two main aspects: 1. Gives the possibility to extend the exploration of the explainability in multiple contexts, developing and adapting techniques that can be useful to relate classical deep learning approaches to their symbolic extensions. 2. Opens to the possibility to extend the understanding of neurosymbolic models to deep aspects of AI. These two concepts lead to the trustworthiness and reliability of the new trend of Neurosymbolic AI, increasing the confidence of end-users in choosing and believing in these methodologies for computer-aided applications. Topics of interest include, but are not limited to: * Soft Computing methodologies * Symbolic and Neurosymbolic AI * Logic and Rule-based methods * AI methods for explainability, interpretrability and reliability * Resilient AI models * From wide to task-specific methodologies * Machine Learning and Deep Learning based AI methodologies * Data-driven decision-making * Multimodal Learning strategies * Scalability and optimization of intelligent systems * Generative AI and applications GREAT EVENT! XAI CHALLENGE FOR PASSIONATE! The workshop is growing fast and organizers are happy to announce that a challenge has been launched for all passionate students and researchers! The topic is Explainable AI for Educational Question-Answering. All details can be found in the website challenge page. IMPORTANT DATES - Submission due: March 20, 2025 - Notification to authors: April 15, 2025 - Camera-ready and early registration due: May 1st, 2025 SUBMISSION INSTRUCTIONS Submissions must follow the IJCNN2025 rules (https://2025.ijcnn.org/authors/initial-author-instructions) Authors are invited to submit: - Full papers, up to 8 pages - Short papers, up to 4 pages Short papers may also be presented in the poster session. Full and short papers will be published in the conference proceedings. Submission must be made on CMT using the following link: https://cmt3.research.microsoft.com/IJCNN2025/Track/3/Submission/Create COMMITTEES AND CHAIRS General Chairs - Prof. Angelo Ciaramella - University of Naples Parthenope, Italy - Prof. Le Hoang Son - Vietnam National University, Hanoi, Vietnam - Prof. Emanuel Di Nardo - University of Naples Parthenope, Italy Program Chairs - Prof. Alessio Ferone - University of Naples Parthenope, Italy - Prof. Antonio Maratea - University of Naples Parthenope, Italy - Prof. Ihsan Ullah - Insight SFI Research Center for Data Analytics, University of Galway, Galway, Ireland Technical Program Chairs - Prof. Paola Barra - University of Naples Parthenope, Italy - Dr. Lorenzo Di Rocco - Sapienza University of Rome, Italy Challenge Chairs - Prof. Tho Quan - Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Vietnam - Prof. Anh Nguyen - Department of IT and Economics, University of South Eastern Norway, Norway - Prof. Fabien Baldacci - Université de Bordeaux, France The call for papers and additional information about the workshop and challenge can be found at https://sites.google.com/view/trns-ai

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Posizione RTT a Milano-Bicocca
by Francesco Caravenna 21 Feb '25

21 Feb '25

È aperto il bando con scadenza 6 marzo 2025 per una posizione di ricercatore a tempo determinato in tenure-track (RTT) in Probabilità e Statistica Matematica (g.s.d. 01/MATH-03 - s.s.d. MATH-03/B) presso il Dipartimento di Matematica e Applicazioni dell'Università di Milano-Bicocca: https://www.unimib.it/ateneo/gare-e-concorsi/2025-rtt-010 Si prega di condividere con potenziali candidati/e interessati/e. Cordiali saluti, FC -- _________________________________________ Francesco Caravenna Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca Via Cozzi 55, 20125 Milano, Italy Office 3016, U5 building https://staff.matapp.unimib.it/~fcaraven/ _________________________________________

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Ph.D. Mini-Course@Sapienza | An introduction to changepoint detection
by Pierpaolo Brutti 21 Feb '25

21 Feb '25

Dear all, apologies for cross-posting. Quick note on an upcoming PhD course course on multiple changepoint analysis that will take place next week @Sapienza-DIAG (Rome, Via Ariosto 25). Here's the details: *Schedule*: 1. 24 Feb: 10:00-12:00 | Aula B203 @ DIAG 24 Feb: 13:45-17:00 | Aula B101 @ DIAG 2. 25 Feb: 9:30-12:00 | Aula B203 @ DIAG 25 Feb: 13:45-17:00 | Aula B203 @ DIAG 3. 26 Feb: 9:30-12:00 | Aula B203 @ DIAG 26 Feb: 13:45-17:00 | Aula B203 @ DIAG 4. 27 Feb: 9:30-11:30 | Aula B203 @ DIAG *Zoom links*: - AM: https://inrae-fr.zoom.us/j/96946255684?pwd=Gm04CV5Dw8AZ2bdcRbHHreG9hHaakH.1 - PM: https://inrae-fr.zoom.us/j/92052483887?pwd=4tuFd0TS6HAxIgYLMRmIkaYPm55LgF.1 *Abstract* In recent years, there has been a proliferation of methods for detecting changepoints (also known as breakpoints or structural breaks) in data streams. This surge has been driven by the wide range of applications where changepoint methods are needed, including genomics, neuroscience, climate science, finance, and econometrics, among others. This course serves as an introduction to multiple changepoint detection methods. This course will first address the simpler task of detecting a single changepoint in the mean of a univariate data stream. This is crucial for understanding several state-of-the-art approaches designed for detecting multiple changepoints. Subsequently, we will delve into the fundamentals of two classical approaches for multiple changepoint detection: (1) binary segmentation and (2) dynamic programming. We will review their statistical and computational properties and explain some of their recent improvements. We will illustrate the application of these approaches to genomic datasets using the Python/R programming language. *Additional teacher* Arnaud Liehrmann *Short-bio * Guillem Rigaill is a senior researcher (aka DR) at INRAE in France. He is a member of the GNet Team at the Institute of Plant Sciences Paris-Saclay and the Stat & Genome team at the Laboratoire de Mathématiques et Modélisation d'Évry. He received his PhD from AgroParisTech in 2010 for the development of algorithms and statistical methods for the analysis of breast cancer data. His research interests focus on developing efficient algorithms and appropriate statistical methodologies for analyzing high-dimensional genomic and transcriptomic data. He has been developing new models for changepoint detection and proposed inference procedures for these models that are both statistically and algorithmically efficient. He has applied those new tools in many interdisciplinary projects involving cancer and plant biologists, bioinformaticians, and statisticians. Data Science PhD Program

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Workshop "Mean Field Games, Mean Field Control and Applications to Economics and Finance"
by Marta Leocata 21 Feb '25

21 Feb '25

Dear colleagues, we are pleased to announce the upcoming Workshop "Mean Field Games, Mean Field Control and Applications to Economics and Finance" which will take place in Pavia from April 9th to April 11th. The aim of the workshop is to gather experts and young researchers in different fields related to Mean Field Games and Mean Field Control: we would like to provide an environment to share and discuss about analytical and probabilistic approaches, numerical advances, and applications in economics and finance. The link to the Conference website is: https://sites.google.com/view/workshop-mmef The website contains information about the invited speakers, program, venue and registration form and fee. We underline that registration and payment of the fee is mandatory for participants who are not invited speakers. Looking forward to meet you to Pavia! The Organizing Committee Marta Leocata, Daria Ghilli, Giulia Livieri, Daniela Tonon

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