强强联合中俄高校将在厦大召开计量经济学与大数据分析国际会议

Call for Paper

The 2nd International Conference on Econometrics and Big Data Analysis

编者按：第二届计量经济学与大数据分析国际会议（iCEBDA 2026）将于2026年12月4-7日在厦门大学举办。本次会议由俄罗斯高等经济大学（National Research University Higher School of Economics）经济与金融大数据中心（CEBDA）主办，厦门大学邹至庄经济研究院承办，旨在打造高水平的国际学术交流平台，汇聚学界、业界及政府机构的专家学者，共同探讨计量经济学、经济学、金融学、商业分析、大数据及相关领域的最新研究进展与未来发展方向。欢迎广大学者踊跃投稿参会！

About iCEBDA 2026

The 2nd International Conference on Econometrics and Big Data Analysis (iCEBDA 2026) will be held from 4–7 December, 2026 in Xiamen, China. Organized by the Centre for Big Data in Economics and Finance (CEBDA) at HSE University, it provides a leading international forum for researchers, practitioners, and policymakers from academia, industry, and government to discuss recent advances and future directions in econometrics, economics, finance, business analytics, big data, and related fields.

This year iCEBDA travels to Xiamen, China, where it will be hosted by the Paula and Gregory Chow Institute for Studies in Economics at Xiamen University. The 2026 edition is especially meaningful, coinciding with the 105th anniversary of Xiamen University and the 10th anniversary of the Paula and Gregory Chow Institute.

For further information, please visit https://www.bechair.online/iCEBDA-2026.

Confirmed Keynote Speakers

(in alphabetical order)

01 Marc Hallin (ECARES, Université Libre de Bruxelles)

Internationally recognized statistician and econometrician. Known for foundational work on rank- and sign-based inference, multivariate quantiles via measure transportation, and the General Dynamic Factor Model for high-dimensional time series. Fellow of the IMS and ASA, member of the Royal Academy of Belgium, and recipient of the IMS Pierre-Simon de Laplace Prize (2022).

02 Peter Reinhard Hansen (Department of Economics, University of North Carolina, Chapel Hill)

Henry A. Latané Distinguished Professor of Economics at UNC Chapel Hill, with prior positions at Brown, Stanford, and the European University Institute. A leading researcher in forecasting and volatility modelling; his contributions include the Test for Superior Predictive Ability, the Model Confidence Set, the Realized Kernel estimator, and the Realized GARCH framework — for which he received the Richard Stone Prize in Applied Econometrics (2014). Named four times to Thomson Reuters / Clarivate's list of the World's Most Influential Scientific Minds.

03 Hashem Pesaran (Faculty of Economics, University of Cambridge)

Emeritus Professor of Economics and Lifetime Fellow of Trinity College, Cambridge, and Distinguished Professor Emeritus of Economics at the University of Southern California. A pioneer in time series and panel data econometrics, his landmark contributions include the Global Vector Autoregressive (GVAR) approach, which is used extensively by economists and international institutions—including the IMF, the ECB, and the World Bank—to study and predict international spillover effects and interdependencies in the global economy.

04 Yixiao Sun (Department of Economics, University of California, San Diego)

Leading econometrician at UC San Diego. Known for foundational work on robust inference under temporal, spatial, and spatio-temporal dependence, with current research on nonparametric and semiparametric inference at the intersection of machine learning and causal inference. Joint Editor-in-Chief of Econometric Theory, Fellow of the Journal of Econometrics, and recipient of the Plura Scripsit (2019) and Multa Scripsit (2007) Awards from Econometric Theory.

…(More keynote speakers to be announced.)

Conference Topics

Modern methods and applications of econometric, mathematical and computer science tools in economics and finance

Paper Submission

iCEBDA 2026 invites original research papers in econometrics, big data analysis, business analytics, economics, finance, and related fields. We welcome theoretical, computational, empirical, and interdisciplinary contributions.

Focus: data-driven methods for economic and financial research

Submission deadline: 23:59, 1 August 2026 Anywhere on Earth

Please scan the following QR code to submit your paper.