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Ekaterina Smetanina works in the fields of econometrics, financial economics, empirical finance, and forecasting. Her main research focuses on developing new econometric models to analyze aspects of financial markets, with a particular emphasis on forecasting. She is engaged in the development of robust forecast evaluation methodologies designed to be applicable to a wide variety of real-world situations. Her research has been published in peer-reviewed journals including the Journal of Financial Econometrics, Journal of Empirical Finance, and Journal of Time Series Analysis. Smetanina earned her PhD in economics from the University of Cambridge, UK in 2018 and 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 in Moscow, Russia.
The doctoral program at Booth is organized into 'dissertation areas' which include Accounting, Behavioral Science, Econometrics and Statistics, Finance, Marketing, and Operations Management.