Professor Jeroen VK Rombouts joined ESSEC Business School in January 2013. He combines big data sets with analytics tools in a variety of contexts. His research outcomes are published in international peer reviewed journals.
He teaches courses from Basic Statistics, Big data Strategy/Analytics to Advanced Econometrics in Master of Science, PhD and Executive programs. He has been Visiting Scholar at several universities such as University of Pittsburg, Tilburg University, Erasmus University Rotterdam, Aarhus University, KULeuven, and CORE as a research associate among others.
He is an expert consultant in business analytics, finance and forecasting. Prior to joining ESSEC Business School, Jeroen was Associate Professor at HEC Montreal (2004-2012).
Professor Rombouts research interests focus on financial econometrics, forecasting, time series, nonparametric statistics and Bayesian inference with applications in the field of finance and macro-economics. He serves on the editorial board of Journal of Business and Economics Statistics, International Journal of Forecasting, and Computational Statistics and Data Analysis. He is guest editor for the special issue in Nonlinear Financial Econometrics in the Journal of Econometrics.
He has published in various international journals such as Journal of Econometrics, Journal of Business and Economics Statistics, Journal of Applied Econometrics, Econometric Theory, Econometrics Journal, Journal of Multivariate Analysis, Computational Statistics and Data Analysis, Quantitative Finance, Journal of Banking and Finance, among others.
He organizes invited sessions for the International Conference on Computational and Financial Econometrics (CFE) and the International Symposium on Forecasting (ISF). Thanks to a major individual European Marie Curie Grant, he organizes workshops and conferences at ESSEC in the field of big data analytics, econometrics and finance. He also gets research funding from ESSEC and ANR (Agence Nationale de Recherche).
At ESSEC Business School, Jeroen teaches currently Big data analytics, Business statistics, Statistics for finance, Introduction to econometrics, Financial Econometrics at the MSc level, and an Econometrics course at the PhD level.
At the executive level, he teaches courses related to Big Data, Artificial Intelligence, Coding and Forecasting.
Outside ESSEC, he also has been teaching Micro-economics, Theory of capital markets, Time series analysis and Bayesian econometrics.
Professor Rombouts research interests focus on financial econometrics, forecasting, time series, nonparametric statistics and Bayesian inference with application in the field of finance and macro-economics.