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Artem Prokhorov

Econometrics Machine learning Statistics Banking Financial econometrics Econometric statistical methods Business analytics

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Artem Prokhorov is a Professor at the University of Sydney Business School, Department of Business Analytics. His research interests include econometrics, financial econometrics, econometric and statistical methods, statistics, machine learning, business analytics, banking, finance, and investment. He holds a PhD in Economics from Michigan State University and previously served as an assistant and tenured associate professor at Concordia University, Canada. Prokhorov is affiliated with the Centre interuniversitaire de recherche en économie quantitative (CIREQ) at the University of Montreal and is a co-founder of the International Research Center for Econometrics and Business Analytics (CEBA) at St. Petersburg State University. His work has been published in top journals such as the Journal of Econometrics and Journal of Banking and Finance.


Scholar profile summary
Scholar-generated biography

Artem Prokhorov is a researcher at the University of Sydney Business School, specializing in econometrics. His work explores econometric methods to address endogeneity, particularly in stochastic frontier models, and investigates the use of copulas for modeling dependence structures in economic and financial data. He also examines heavy-tailed distributions and their implications for risk modeling and financial time series analysis. His research includes applications in health economics, such as analyzing elder abuse in long-term care settings, and explores the integration of AI and algorithmic methods in education and marketing. Prokhorov's contributions span both theoretical econometric developments and applied empirical studies.

Source: google_scholar · 99 words
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