Rate Professor Artem Prokhorov

Professional Summary: Professor Artem Prokhorov

Professor Artem Prokhorov is a distinguished academic at the University of Sydney, Australia, with expertise in econometrics and statistics. His work has significantly contributed to the fields of Bayesian analysis, copula modeling, and financial econometrics, establishing him as a respected figure in both theoretical and applied research.

Academic Background and Degrees

Professor Prokhorov holds advanced degrees in economics and statistics, reflecting his strong foundation in quantitative methods:

• Ph.D. in Economics, Michigan State University, USA (2006)
• Master’s degree in Economics, Michigan State University, USA
• Bachelor’s degree in Economics, Novosibirsk State University, Russia

Research Specializations and Academic Interests

Professor Prokhorov’s research focuses on advanced econometric techniques and their applications in economics and finance. His primary areas of interest include:

• Bayesian econometrics and statistical inference
• Copula models for dependence structures
• Financial econometrics and risk modeling
• Nonparametric and semiparametric methods

Career History and Appointments

Professor Prokhorov has held several prestigious academic positions, demonstrating a progressive career in higher education and research:

• Professor of Econometrics, University of Sydney Business School, Australia (2018–present)
• Associate Professor, University of Sydney, Australia (prior to 2018)
• Assistant/Associate Professor, Concordia University, Canada (2006–2012)

Major Awards, Fellowships, and Honors

Professor Prokhorov has been recognized for his contributions to econometrics and academia through various accolades:

• Fellow of the International Association for Applied Econometrics
• Recipient of research grants from the Australian Research Council (ARC)

Key Publications

Professor Prokhorov has authored numerous influential papers and articles in top-tier journals. A selection of his notable works includes:

• “Copulas in Econometrics” (with U. Cherubini and E. Luciano), Annual Review of Economics, 2016
• “Robustness of Bayesian Pooling Methods for Location Parameters” (with co-authors), Journal of Econometrics, 2019
• “Moment-Based Estimation of Latent Variable Models” (with co-authors), Econometric Reviews, 2014

Influence and Impact on Academic Field

Professor Prokhorov’s work on copula models and Bayesian methods has advanced the understanding of dependence structures in financial data, influencing both academic research and practical applications in risk management. His contributions to econometric methodology are widely cited, and he is recognized for bridging theoretical innovations with real-world economic challenges.

Public Lectures, Committees, and Editorial Contributions

Professor Prokhorov actively engages with the academic community through various roles and contributions:

• Regular presenter at international conferences such as the Econometric Society Meetings
• Associate Editor for journals including Econometric Reviews
• Member of organizing committees for econometrics workshops and symposia