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.
- Language Proficiency
- English
- Contacts
- Phone:
27496 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S507
- SPIN-RSCI: 3411-5322
- ORCID: 0000-0001-5233-2646
- ResearcherID: ABD-2029-2020
- Scopus AuthorID: 57219257731
- Google Scholar
- Supervisors
- S. B. Avdasheva
- V. Konakov
Printable version
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Education and Degrees
2024
Candidate of Sciences* (PhD)2019
Master's in EconomicsHSE University
2016
Bachelor's in Applied MathematicsOrenburg State University
* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Awards and Accomplishments
Best Teacher — 2023
Courses (2024/2025)
- Econometrics (Advanced Level) (Mago-Lego; 3, 4 module)Rus
- Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 3, 4 module)Rus
- Econometrics 1 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1, 2 module)Rus
- Econometrics 1 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, Economics; 3 year, 1, 2 module)Rus
- Econometrics 2 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 3, 4 module)Rus
- Econometrics 2 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, Economics; 3 year, 3, 4 module)Rus
- Evaluation of the Effectiveness of Programs with State Participation (Master’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 3 module)Rus
- Evaluation of the Effectiveness of Programs with State Participation (Master’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 3 module)Rus
- Evaluation of the Effectiveness of Programs with State Participation (Master’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 3 module)Rus
- Evaluation of the Effectiveness of Programs with State Participation (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 3 module)Rus
- Evaluation of the Effectiveness of Programs with State Participation (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 3 module)Rus
- Evaluation of the Effectiveness of Programs with State Participation (Mago-Lego; 3 module)Rus
- Financial Econometrics (Master’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 3 module)Rus
- Financial Econometrics (Mago-Lego; 3 module)Rus
- Machine Learning for Economists (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 4 module)Rus
- Machine Learning for Economists (Mago-Lego; 4 module)Rus
- Machine Learning in Economics (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 4 module)Rus
- Machine Learning in Economics (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 4 module)Rus
- Machine Learning in Economics (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 3 module)Rus
- Past Courses
Courses (2023/2024)
- Econometrics (Advanced Level) (Mago-Lego; 3, 4 module)Rus
- Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 3, 4 module)Rus
- Econometrics 1 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1, 2 module)Rus
- Econometrics 2 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 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 field of study Economics; 2 year, 1-3 module)Rus
Courses (2022/2023)
- Econometrics (Advanced Level) (Mago-Lego; 3, 4 module)Rus
- Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 3, 4 module)Rus
- Econometrics 1 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1, 2 module)Rus
- Econometrics 2 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 3, 4 module)Rus
- Financial Econometrics (Master’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 2 module)Rus
- Financial Econometrics (Optional course (faculty); Faculty of Economic Sciences; 2 module)Rus
- Financial Econometrics (Mago-Lego; 2 module)Rus
- Probability Theory and Statistics (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Economics; 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 (Mago-Lego; 3, 4 module)Rus
Courses (2021/2022)
- Econometrics (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Economics; 3 year, 1-3 module)Rus
- Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 3, 4 module)Rus
- Probability Theory and Statistics (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Economics; 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 field of study Economics; 3 year, 1-3 module)Rus
- Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 3, 4 module)Rus
- Probability Theory and Statistics (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Economics; 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