Econometric Game 2025
Econometrics Game 2025
Participating teams:

Winning team
University of Warsaw 🇵🇱

Casemaker & Jury -
Anastasija Tetereva is an Assistant Professor at the Department of Econometrics at Erasmus University Rotterdam. She holds Diploma in Mathematics from the University of Latvia, Master’s Degree in Statistics from Humboldt University of Berlin, and PhD in Economics and Finance from the University of St. Gallen, Switzerland. Prior to joining EUR, she had postdoctoral appointment at the Swiss Institute for Empirical Economic research. Her research interests are mainly in the field of Financial Econometrics with a focus on machine learning tools for modeling financial time series. Her second area of interest is the incorporation of text data into econometric models. Currently, Anastasija is working on projects related to time-varying parameter models using an ensemble of model trees applied to asset pricing and financial risk management.

Casemaker & Jury -
Onno Kleen is an Assistant Professor at Erasmus University Rotterdam. His work primarily focuses on time series analysis and its applications in financial economics, macro-finance, and distribution forecasting. His research explores topics like econometric modeling, volatility forecasting, and risk management, often integrating advanced statistical methods and machine learning techniques.

Casemaker -
Alla Petukhina is a researcher at HTW Berlin and the Bucharest University of Economic Studies, specialising in financial statistics and machine learning applications in finance and energy markets. She holds a PhD in Statistics and Quantitative Finance from Humboldt-Universität zu Berlin. Her research focuses on probabilistic electricity price forecasting, risk management, and portfolio optimization. Alla has extensive experience in the industry, including roles in fintech and consulting. She has published in Energy Economics and the Journal of Econometrics and co-authored books on time series analysis. She has also contributed to several EU projects on risk modeling for fintechs.
About the case –
Typically, stable grid operation is maintained through congestion management or redispatch. The primary objective of this approach is to minimize the curtailment of renewable energy feed-in while leveraging flexibility within the electricity network.The responsibility for grid stability lies with transmission system operators (TSOs), who ensure the integration of distribution grids into the congestion management framework through a coordination cascade. Analyzing congestion management patterns is crucial for understanding its underlying drivers and developing predictive models that can forecast potential bottlenecks, enabling preemptive redispatch actions. Improved forecasting accuracy in congestion management can help reduce associated costs by facilitating targeted mitigation measures. This year, teams are tasked with constructing a predictive model for such events and examining the relationship between congestion management and relevant exogenous variables, including electricity demand, electricity supply, and electricity prices.

Jury
Marina Khismatullina is an Assistant Professor of Statistics at Erasmus University Rotterdam. She holds a PhD in Economics from the University of Bonn. Her research focuses on econometrics and statistics, with a particular emphasis on nonparametric statistics and time series analysis. She has published work on multiscale methods for analyzing nonparametric regressions and has developed novel clustering techniques for functional data. Recently, she has become increasingly interested in differential privacy and its applications to statistical modeling and data protection.

Jury
Simon Trimborn is an Assistant Professor of Econometrics and Data Science at the Amsterdam School of Economics, University of Amsterdam. His work focuses on high dimensional data analysis for time series data with which he tackles specific problems of the cryptocurrency market and the blockchain from an econometric and statistical point of view. The studies are targeted at developing methods and methodologies to provide economically meaningful insights.

Jury
Rutger-Jan Lange is an associate professor in the Department of Econometrics at the Erasmus University Rotterdam. He works on time-series econometrics and is interested in filtering, stochastic processes, real options, optimal-stopping theory, and (formerly) quantum physics. After his PhD at the Judge Business School in Cambridge (UK) he worked at Boston Consulting Group in Amsterdam before returning to academia. He has published in the Journal of Econometrics, Journal of Economic Theory, Journal of Financial and Quantitative Analysis, Operations Research, and the Journal of Rutger-Jan Lange High Energy Physics.

Jury
Evgenii Vladimirov is an Assistant Professor at the Econometric Institute, Erasmus University Rotterdam and a Candidate Fellow at the Tinbergen Institute. His research and teaching interests lie in the areas of financial econometrics, option pricing, and time series analysis. In his research projects, he develops new approaches to extracting valuable information from option prices through modern econometric tools.
Econometric Game Committee 2025:


Hi everyone! I’m Melis, a 22-year-old Master’s student in Data Science and Business Analytics. Beyond my studies, I’m honoured to serve as the Chairwoman of the Econometric Game Committee. In this role, I oversee the event’s organisation and work to ensure seamless collaboration among our incredible team members. While my schedule is often packed, I always make time to pursue my passions—travelling, attending concerts, and connecting with friends. As the event approaches, I’m thrilled to welcome all the talented participants to Amsterdam, where brilliance meets collaboration.

Hey all, My name is Saif Aknouch, and I’m 20 years old. I’m in the final phase of my Bachelor’s degree in Econometrics and Data Science at the University of Amsterdam. Currently, I’ve put my studies on hold to serve on the board of the VSAE, where I am also the Coordinator of the prestigious Econometric Game. In this role, I am responsible for overseeing the committee members’ tasks and ensuring the event runs smoothly. When I do have a bit of free time (which isn’t often), you’ll likely find me at the gym or behind my laptop creating music. 😉 Looking forward to connecting with you all!

Hi everyone! I’m Jim, a 21-year-old Econometrics and Data Science student in my third and final year at the Vrije Universiteit—set to graduate this June! 🎓 This year, I’m thrilled to be working alongside Katrina in Acquisition and Promotion to help bring the Econometric Game to life. Outside of my studies, I’m passionate about sports and an active lifestyle. You’ll often find me playing football, surfing, or kickboxing—and of course, enjoying good company over drinks with friends. I’m looking forward to meeting you all in April, exchanging ideas, and diving into the latest developments in econometrics. See you soon!

Hi everyone! I’m Katrina, a 22-year-old student in the final year of my Bachelor’s in Econometrics and Data Science. This year, I’m thrilled to be part of the Econometric Game team, working alongside Jim in Acquisition and Promotion to help make this event a success! Beyond my passion for data and problem-solving, I love staying active with Rocycle and unwinding with a great book. 📚🚴♀️ I’m really looking forward to meeting talented econometrics and data science students from all around the world and witnessing the incredible solutions you come up with. Wishing you all the best of luck in the competition!

Hi everyone! I’m Julia, a 21-year-old Econometrics and Data Science student in my final year. This year, I have the exciting role of finding and coordinating the Case Makers and Jury Members for the Econometric Game 2025. One of the most crucial aspects of the Game is, of course, the case itself—which is always highly relevant to the latest global developments. Tackling real-world challenges is what makes this competition so exciting and impactful! 🌍 Outside of my studies, I love baking and getting lost in a great book. 📖👩🍳I hope all participants will find this year’s case as exciting as I do and will come up with great solutions. I wish you all the best of luck, and I look forward to seeing you in April!

Hi everyone! I’m Rafael, a 20-year-old Econometrics and Data Science student in my third year. This year, I’m responsible for arranging all the facilities for the Econometric Game 2025, ensuring that you all sleep and eat well for an unforgettable competition experience. Outside of my studies, I have a passion for hiking—especially in the mountains. With plans to pursue my Master’s in Switzerland next year, I’m looking forward to combining my love for nature with my academic journey! 🌿🏔️ Wishing all participants the best of luck—see you in April!
