Ivan Stankevich
- Senior Lecturer:Faculty of Economic Sciences / Department of Applied Economics
- Research Intern:Faculty of Economic Sciences / Laboratory for Macro-Structural Modeling of the Russian Economy
- Ivan Stankevich has been at HSE University since 2011.
Education
- 2014
Master's
HSE University - 2014
Master's
HSE University - 2012
Bachelor's
HSE University - 2012
Bachelor's
HSE University
Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Lecturers" (2015-2016)
Category "Future Lecturers" (2013-2014)
Student Term / Thesis Papers
- Bachelor
E. Petukhova, Agent-based Modeling of Career Choice between the Corporate Sector and Entrepreneurship as a Result of Tax Policy. Faculty of Economic Sciences, 2020
E. Skvortsova, Predictive Modelling of Sales Volume for Fast Moving Consumer Goods. Faculty of Economic Sciences, 2020
V. Danielian, Forecasting Directions of Metal Prices Changes with Respect to News Articles (Copper Price Case). Faculty of Economic Sciences, 2020
E. Skvortsova, Predictive Modelling of Sales Volume for Fast Moving Consumer Goods. Faculty of Economic Sciences, 2020
M. Lukin, Estimation of the Probability of Default on Bank Loans. Faculty of Economic Sciences, 2020
A. Volkov, Detection of Fraudulent Transactions in the Banking Sector. Faculty of Economic Sciences, 2020
N. Makeeva, Nowcasting of Key Macroeconomic Indicators of Russian Economy: Approach Comparison. Faculty of Economic Sciences, 2020
Y. Kim, The Forecasting the Dynamics of Price Fluctuations of Arabica Coffee. Faculty of Economic Sciences, 2020
D. Eseneeva, Methods of Filtering and Selecting Flats in the Short-term Rental Market on the Airbnb Example. Faculty of Economic Sciences, 2020
V. Vyatkina, Key Drivers of Social Media Engagement for Instagram Influencers. Faculty of Economic Sciences, 2019
S. Rossovskaia, Forecasting the Price Dynamics of Software Taking into Account the News Background on the Steam Digital Distribution Platform. Faculty of Economic Sciences, 2019
T. Sadekov, Online Housing Rentals Performance Prediction on the Example of Airbnb. Faculty of Economic Sciences, 2019
V. Matsegora, Detecting Fraud in Crowdfunding Projects Based on the Kickstarter Platform Using Machine Learning. Faculty of Economic Sciences, 2019
A. Turova, Analysis of the Factors that Determine the Regularities in the Errors in the Formation of Macroeconomic Forecasts. Faculty of Economic Sciences, 2019
A. Shkrebets, The Application of GPS-trackers Data to the Analysis of Spatial Behaviour Patterns of Drivers. Faculty of Economic Sciences, 2019
A. Zhirkov, Statistical Analysis of the Popularity of Posts in Social Networks on the Example of Instagram. Faculty of Economic Sciences, 2019
E. Aiuntc, Research of the Factors That Determine the Accident Rate of Individual Drivers and Prediction of Probability of Getting Into an Accident. Faculty of Economic Sciences, 2018
M. Golovina, Predictive Modelling of Bicycle Availability for Bicycle-Sharing Systems. Faculty of Economic Sciences, 2018
N. Popova, Modeling of Probability of Business Loans Prepayment. Faculty of Economic Sciences, 2018
E. Aiuntc, Research of the Factors That Determine the Accident Rate of Individual Drivers and Prediction of Probability of Getting Into an Accident. Faculty of Economic Sciences, 2018
E. Korobeynikova, The Impact of Seasonal Adjustment on Unit Root Tests in Economic Time Series. Faculty of Economic Sciences, 2018
N. Lyubaykin, Online Crowdfunding Projects Performance Prediction. Faculty of Economic Sciences, 2017
N. Seleznev, Route Assignment in Transportation Networks. A Сomparison of User Equilibrium and System Optimum. Faculty of Economic Sciences, 2017
D. Rykunov, Numerical Approach to Locating Multiple Equilibria of Game-theoretic Models. Faculty of Economic Sciences, 2017
A. Sukhobok, Forecasting Performance of Hybrid ARIMA-ANN and VAR-ANN Models on Macroeconomic Data. Faculty of Economic Sciences, 2017
D. Gyulumyan, Multiproduct Dynamic Model of the Economy with Two Agents: the Consumer and Producer. Faculty of Economic Sciences, 2016
- Master
T. Shakhkian, Exploring Russian Stock Market and Using ML Technologies for Forecasting Time Series and Portfolio Optimization. Faculty of Computer Science, 2020
S. Hanssen, The Comparison of Sentiment Analysis with Standard Indicators (MA, MACD, RSI, OBV) in Terms of Stock Index Forecasting. HSE Banking Institute, 2019
Courses (2020/2021)
- Econometrics (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1-4 module)Rus
- Forecasting in Economics and Finance (Master’s programme; HSE Banking Institute; 1 year, 3 module)Eng
- Probability Theory and Statistics (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 1-4 module)Rus
- Research Project Seminar (Optional course (faculty); Faculty of Economic Sciences; 1-3 module)Rus
- Past Courses
Courses (2019/2020)
- Econometrics (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1-4 module)Rus
- Forecasting in Economics and Finance (Master’s programme; HSE Banking Institute; 1 year, 3 module)Eng
- Probability Theory and Statistics (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 1-4 module)Rus
Courses (2018/2019)
- Econometrics (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1-4 module)Rus
- Forecasting in Economics and Finance (Master’s programme; HSE Banking Institute; 1 year, 3 module)Eng
- Probability Theory and Statistics (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 1-4 module)Rus
Courses (2017/2018)
Courses (2015/2016)
- Dynamic Optimization in Economics and Finance (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1, 2 module)Rus
- Econometrics (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1-4 module)Rus
Publications14
- Article Станкевич И. П. Сравнение методов наукастинга макроэкономических индикаторов на примере российского ВВП // Прикладная эконометрика. 2020. Т. 59. С. 113-127.
- Chapter Stankevich I., Alexei Ujegov, Vasilyev S. Estimation of Multiproduct Models in Economics on the Example of Production Sector of Russian Economy, in: Optimization and Applications 9th International Conference, OPTIMA 2018, Petrovac, Montenegro, October 1–5, 2018, Revised Selected Papers / Ed. by M. Jaćimović, M. Khachay, Y. Kochetov, V. Malkova, Ю. Г. Евтушенко, M. Posypkin. Springer, 2019. doi P. 470-481. doi
- Article Станкевич И. П., Ужегов А. А. Модель оптимального поведения агрегированного домохозяйства // Труды Института системного анализа Российской академии наук. 2018. Т. 68. № 2. С. 59-62. doi
- Article Ужегов А. А., Станкевич И. П., Васильев С. Б. Модель реального сектора российской экономики с несколькими продуктами и агентами-торговцами // Экономический журнал Высшей школы экономики. 2018. Т. 22. № 3. С. 362-386. doi
- Article Станкевич И. П. Некоторые результаты, касающиеся эффекта сезонной корректировки данных в динамических моделях // Труды Института системного анализа Российской академии наук. 2018. Т. 68. № 2. С. 55-58. doi
- Article Пильник Н. П., Станкевич И. П., Радионов С. А. Обобщенная многопродуктовая декомпозиция элементов использования ВВП России // Экономический журнал Высшей школы экономики. 2018. Т. 22. № 2. С. 251-274. doi
- Article Вотинов А. И., Станкевич И. П. VAR-подход к оценке эффективности мер фискального стимулирования экономики // Научно-исследовательский финансовый институт. Финансовый журнал. 2017. № 6. С. 64-74.
- Chapter Станкевич И. П. Исследование вопроса о необходимости сезонной корректировки данных в динамических моделях // В кн.: Моделирование коэволюции природы и общества: проблемы и опыт. К 100-летию со дня рождения академика Н.Н. Моисеева (МОИСЕЕВ-100) / Отв. ред.: И. Г. Поспелов. М. : ФИЦ ИУ РАН, 2017. С. 291-299.
- Chapter Станкевич И. П., Ужегов А. А. Модельное описание поведения агрегированного домохозяйства в экономике Российской Федерации // В кн.: Моделирование коэволюции природы и общества: проблемы и опыт. К 100-летию со дня рождения академика Н.Н. Моисеева (МОИСЕЕВ-100) / Отв. ред.: И. Г. Поспелов. М. : ФИЦ ИУ РАН, 2017. С. 300-310.
- Preprint Pilnik N., Pospelov I. G., Stankevich I. Multiproduct Model Decomposition of Components of Russian GDP / NRU Higher School of Economics. Series WP BRP "Economics/EC". 2015. No. WP BRP 111/EC/2015.
- Article Пильник Н. П., Станкевич И. П. Динамическая модель взаимодействия фирмы и ее собственников // Математическое моделирование. 2015. Т. 27. № 1. С. 65-83.
- Article Пильник Н. П., Поспелов И. Г., Станкевич И. П. Об использовании фиктивных переменных для решения проблемы сезонности в моделях общего экономического равновесия // Экономический журнал Высшей школы экономики. 2015. Т. 19. № 2. С. 249-270.
- Article Пильник Н. П., Станкевич И. П. Многопродуктовая модельная декомпозиция компонент валового внутреннего продукта России // Труды Московского физико-технического института. 2014. Т. 6. № 4. С. 78-89.
- Chapter Станкевич И. П. Моделирование сезонных колебаний в рамках динамической модели производственного сектора экономики // В кн.: Сборник лучших выпускных работ - 2012 / Науч. ред.: К. А. Букин. М. : Издательский дом НИУ ВШЭ, 2013. С. 502-540.
