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Ekaterina Smetanina works in the fields of econometrics, financial economics, empirical finance, and forecasting. Her main research looks to develop new econometric models to analyze different aspects of financial markets, in particular with focus on the topic of forecasting. She also works on the development of robust forecast evaluation methodologies, which are designed to be applicable in a wide variety of real-world situations. Her research has been published in the Journal of Financial Econometrics, Journal of Empirical Finance, Journal of Time Series Analysis and Econometrics Journal.

Smetanina earned a PhD in economics from the University of Cambridge, UK in 2018. During her studies, she was a visiting PhD student at Duke University. Additionally, she holds an MSc in economics from the University of Bonn, Germany and a BSc in engineering from Bauman Moscow State Technical University, Moscow, Russia.

Academic Areas

  • Econometrics and Statistics

2023 - 2024 Course Schedule

Number Course Title Quarter
41600 Econometrics and Statistics Colloquium 2024 (Spring)

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