Polina Pogorelova
- Senior Lecturer: Faculty of Economic Sciences / Department of Applied Economics
- Junior Research Fellow: Faculty of Economic Sciences / Laboratory for Macro-Structural Modeling of the Russian Economy
- Polina Pogorelova has been at HSE University since 2019.
Education
2019
Master's in EconomicsHSE University
2016
Bachelor's in Applied MathematicsOrenburg State University
Awards and Accomplishments
Best Teacher — 2023
Courses (2024/2025)
- Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences; 1 year, 3, 4 module)Rus
- Econometrics 1 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Rus
- Machine Learning in Economics (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 4 module)Rus
- Past Courses
Courses (2023/2024)
- Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences; 1 year, 3, 4 module)Rus
- Econometrics 1 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1, 2 module)Rus
- Econometrics 2 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 3, 4 module)Rus
- Machine Learning in Economics (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 4 module)Rus
- Probability Theory and Statistics (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 1-3 module)Rus
Courses (2022/2023)
- Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences; 1 year, 3, 4 module)Rus
- Econometrics 1 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1, 2 module)Rus
- Econometrics 2 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 3, 4 module)Rus
- Financial Econometrics (Master’s programme; Faculty of Economic Sciences; 2 year, 2 module)Rus
- Financial Econometrics (Mago-Lego; 2 module)Rus
- Probability Theory and Statistics (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 1-3 module)Rus
- Time Series Analysis (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 1 year, 3, 4 module)Rus
Courses (2021/2022)
- Econometrics (Bachelor’s programme; Faculty of World Economy and International Affairs; 3 year, 1-3 module)Rus
- Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences; 1 year, 3, 4 module)Rus
- Probability Theory and Statistics (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 1-3 module)Rus
- Time Series Analysis (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 1 year, 3, 4 module)Rus
- Time Series Analysis-1 (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 1 year, 3 module)Rus
- Time Series Analysis-2 (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 1 year, 4 module)Rus
Courses (2020/2021)
- Econometrics (Bachelor’s programme; Faculty of World Economy and International Affairs; 3 year, 1-3 module)Rus
- Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences; 1 year, 3, 4 module)Rus
- Probability Theory and Statistics (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 1-3 module)Rus
Conferences
- 2023
Modern Econometric Tools and Applications – META2023 (Нижний Новгород). Presentation: Investigation of the impact of uncertainty indicators on Bitcoin volatility using ARDL model
- 2022
Modern Econometric Tools and Applications – META2022 (Нижний Новгород). Presentation: Comparison of GARCH and HAR models for realized volatility of Bitcoin and E-mini S&P 500
2nd International Conference on Econometrics and Business Analytics (iCEBA) (Ереван). Presentation: Comparison of GARCH and HAR models for realized volatility of Bitcoin and E-mini S&P 500
2nd International Conference on Econometrics and Business Analytics (iCEBA) (Ереван). Presentation: Comparison of GARCH and HAR models for realized volatility of Bitcoin and E-mini S&P 500