The 5th edition of the Barcelona Summer School on Stochastic Analysis and Quantitative Finance took place from July 21 to 25, 2025, at the Centre de Recerca Matemàtica (CRM), marking the revival of an academic tradition interrupted by the pandemic. The program offered advanced training in cutting-edge topics such as rough volatility, path signatures, and weather derivatives, featuring international experts and a strong presence of early-career researchers.

The 5th Barcelona Summer School on Stochastic Analysis and Quantitative Finance marked an important milestone in the revival of a valued academic tradition. After a hiatus caused by the pandemic, this edition sought to re-establish the series of summer schools previously held at the Centre de Recerca Matemàtica (CRM) between 2012 and 2018. Its main objective was to provide advanced training in cutting-edge topics in stochastic analysis and quantitative finance, delivered by internationally renowned experts. The school was aimed at PhD students, postdoctoral researchers, and academics, fostering both local and international collaboration while reinforcing Catalonia’s position as a leading center for mathematical research.

The academic core of the summer school consisted of three advanced courses, each offering a deep dive into a key area of contemporary research in stochastic analysis and quantitative finance. The lectures were designed not only to present theoretical developments, but also to build intuition and connect with practical applications.

• Rough Volatility by Masaaki Fukasawa (Osaka University)

Professor Fukasawa is a highly respected figure in the field of mathematical finance, known for his influential work on skewness, volatility estimation, and stochastic integration. His research has contributed significantly to the understanding of implied volatility surfaces and their asymptotic behavior, particularly in the context of rough volatility. He is also a key member of the Sekine–Fukasawa–Yano research group at Osaka University.

In his course, he emphasized intuitive understanding through simple computations and highlighted connections with classical models. Fukasawa also offered a conceptual and accessible introduction to rough volatility modeling, focusing on three key perspectives: historical volatility dynamics, the term structure of implied volatility, and market microstructure.

• An Introduction to Signatures with Applications in Finance by Christian Bayer (Weierstrass Institute)

Professor Bayer is a leading researcher in stochastic numerics and quantitative finance. His work on rough volatility, stochastic control, and the application of rough path theory to machine learning has positioned him at the forefront of modern financial mathematics.

The course introduced the theory of path signatures, a powerful tool for encoding time series data. Bayer explained how signatures can be used to encode time series and serve as approximators for functions on path space, and he explored their applications in machine learning and numerical methods for stochastic control. The course was particularly relevant for problems involving non-Markovian dynamics, such as those arising in rough volatility models.

• Weather Derivatives by Fred Espen Benth (University of Oslo)

Professor Benth is a prominent figure in the intersection of stochastic analysis, energy markets, and climate-related financial modeling. He has significantly contributed to the understanding of weather risk and its financial implications.

His course focused on weather derivatives—financial instruments linked to temperature, wind, and solar irradiation. After introducing the concept of weather risk and its role in renewable energy markets, Benth presented stochastic models suitable for describing weather dynamics, with particular emphasis on continuous-time autoregressive processes. The course also addressed pricing techniques for weather futures, including temperature-dependent pricing measures, and concluded with a discussion on hedging strategies and basis risk in standardized contracts.

In addition to the three main courses, the summer school featured a program of contributed talks and a poster session, further enriching the academic exchange and showcasing the breadth of current research in the field. Participants from institutions across Europe and beyond presented their work on topics ranging from rough volatility and fractional processes to portfolio optimization and climate-related financial modeling. Highlights included:

• Daniele Angelini (Sapienza University of Rome) – Kolmogorov–Smirnov estimation of self-similarity in long-range dependent fractional processes
• Argimiro Arratia (Universitat Politècnica de Catalunya) – Portfolio risk and diversification strategies
• Martin Bergerhausen (University of Mannheim) – Mean-field stochastic Volterra equations: Results on the existence of weak solutions
• Òscar Burés (Universitat de Barcelona) – Short-time behavior of the At-The-Money implied volatility for the jump-diffusion stochastic volatility Bachelier model        
• Mihriban Ceylan (University of Mannheim) – Global approximation theorem for signatures on the Wiener space
• Ranieri Dugo (University of Rome Tor Vergata) – Multivariate Rough Volatility
• Héctor Folgar (Universidade da Coruña and CITIC) – Pricing with rough Bergomi model in commodity markets
• Emmanuel Gnabeyeu (Sorbonne Université and Université Paris Cité) – On a Weak Stationarity Theory for FSVIEs: Finite-Time and Asymptotic Analysis, Application to Stabilized Volatility models
• Azmat Hussain (University of Central Asia) – Optimal Investment and Consumption for Assets with stochastic Volatility and Infinite Delay
• Ruben Jimenez (Universitat de Barcelona) – Fractional signature: a generalisation of the signature inspired by fractional calculus
• Gero Junike (Carl von Ossietzky Universität) – Fourier pricing techniques
• Emmet Lawless (Dublin City University) – A variational approach to portfolio choice
• Benjamin Massat (Université de Toulouse) – Quantification of limit theorem for nearly unstable Hawkes processes
• Ahmed Wafi (LMU München and Cairo University) – Hybrid econometric–ML models for return prediction under climate policy uncertainty
• Giacomo Zarfati (Sapienza Università di Roma) – Optimal Allocation With Weather Risk

The poster session enhanced the diversity of research showcased, with presentations on neural network approaches to implied volatility, Hawkes processes in energy markets, and jump-diffusion models for electricity pricing. Notable contributions included:

• Samira Amiriyan (University of Liverpool) – Neural networks and asymptotic regimes
• Konstantinos Chatziandreou (University of Amsterdam) – Execution strategies in short-term energy markets
• Christoph Gärtner (RPTU Kaiserslautern) – Shot-noise jump-diffusion models for electricity spot prices

These sessions provided an excellent platform for early-career researchers to engage with peers and senior academics, fostering collaboration and constructive feedback in a supportive environment.

The 5th edition of the Barcelona Summer School successfully rekindled a tradition of academic excellence and international collaboration. With high-level courses, dynamic discussions, and a strong sense of community, the event reaffirmed the importance of in-person scientific exchange. It also strengthened the international visibility of Catalan research in mathematics, setting a promising precedent for future events. The CRM looks forward to building on this renewed momentum in upcoming editions.

Every year, the Centre de Recerca Matemàtica (CRM) opens its doors to the members of its Scientific Advisory Board (SAB), a group of internationally renowned researchers tasked with a crucial mission: to assess the scientific health of the centre, offer strategic guidance, and help shape its future. The most recent meeting, held on July 9th and 10th, 2025, was an opportunity for the SAB to assess ongoing programmes, and engage directly with the next generation of researchers building their careers at CRM.

One of the highlights of the meeting was the poster session led by young CRM researchers.

The Scientific Advisory Board plays a central role in the life of the centre. Beyond assessing reports and evaluating researchers, its members serve as a sounding board for the institution’s major strategic decisions. Their independent perspective, grounded in long-standing academic experience, provides a vital counterpoint to the internal management of the centre. This year, the SAB was invited to contribute to the development of the 2026–2030 Strategic Plan and reflect on CRM’s positioning within an increasingly interdisciplinary research ecosystem.

One of the highlights of the meeting was the poster session led by young CRM researchers. Held during the second day, this informal gathering brought together PhD researchers and postdoctoral fellows from diverse areas, ranging from dynamical systems and geometry to mathematical modelling and neuroscience, to present their work directly to the SAB members. The exchange was lively and constructive, with Board members offering not only feedback on the projects but also broader career advice and encouragement.

This kind of interaction captures the spirit of the CRM: a research centre where scientific excellence is nurtured through dialogue, collaboration, and mentorship. The SAB’s contribution ensures that the centre remains firmly rooted in mathematical research while evolving in step with the challenges of the scientific world.

As CRM enters the end of the Maria de Maeztu project, the support and insight of the Scientific Advisory Board will continue to be an essential part of its journey.

Current members of the CRM Scientific Advisory Board:

• Nicolas Brunel, Duke University

• Afonso Bandeira, ETH Zürich

• Kathryn Hess, École Polytechnique Fédérale de Lausanne

• Victoria Gould, University of York

• Ari Laptev, Imperial College London (Chair)

• Philippe Michel, EPFL

• Alessandra Micheletti, Università degli Studi di Milano

• Mikhail Sodin, Tel Aviv University

• Susanna Terracini, Università di Torino

• Katrin Wendland, Trinity College Dublin