Boris Demeshev
- Visiting Lecturer:Faculty of Computer Science / Big Data and Information Retrieval School
- Boris Demeshev has been at HSE University since 2001.
Motto
We have not succeeded in answering all our problems—indeed we sometimes feel we have not completely answered any of them. The answers we have found have only served to raise a whole set of new questions. In some ways we feel that we are as confused as ever, but we think we are confused on a higher level and about more important things. (Earl C. Kelley)
Education
- 2003
Master's in Economics
HSE University - 2001
Bachelor's in Economics
HSE University, Economics ha-index: 82
Courses (2023/2024)
Data Science for Economics (Bachelor’s programme; International College of Economics and Finance; field of study "38.03.01. Экономика", field of study "38.03.01. Экономика", field of study "38.03.01. Экономика"; 3 year, 1, 2 module)Eng
- Data Science for Economics (Bachelor’s programme; International College of Economics and Finance; 4 year, 1, 2 module)Eng
Mathematics for Economists (Bachelor’s programme; International College of Economics and Finance; field of study "38.03.01. Экономика", field of study "38.03.01. Экономика", field of study "38.03.01. Экономика", field of study "38.03.01. Экономика", field of study "38.03.01. Экономика"; 2 year, 2-4 module)Eng
- Mathematics for Economists (Master’s programme; International College of Economics and Finance; 1 year, 1, 2 module)Eng
- R Programming and Applications to Finance (Mago-Lego; 3 module)Eng
- R Programming and Applications to Finance (Master’s programme; International College of Economics and Finance; 2 year, 3 module)Eng
- Stochastic processes and applications (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
- Time Series Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Eng
- Time Series Modeling (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
- Past Courses
Courses (2022/2023)
Applied Statistical Data Analysis (Bachelor’s programme; Faculty of Computer Science; field of study "01.03.02. Прикладная математика и информатика", field of study "01.03.02. Прикладная математика и информатика"; 3 year, 1, 2 module)Rus
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
- Data Science for Economics (Bachelor’s programme; International College of Economics and Finance; 4 year, 1, 2 module)Eng
Data Science for Economics (Bachelor’s programme; International College of Economics and Finance; field of study "38.03.01. Экономика", field of study "38.03.01. Экономика"; 3 year, 1, 2 module)Eng
- Linear Algebra (Bachelor’s programme; International College of Economics and Finance; 2 year, 1 module)Eng
Mathematics for Economists (Bachelor’s programme; International College of Economics and Finance; field of study "38.03.01. Экономика", field of study "38.03.01. Экономика", field of study "38.03.01. Экономика", field of study "38.03.01. Экономика"; 2 year, 2-4 module)Eng
- Mathematics for Economists (Master’s programme; International College of Economics and Finance; 1 year, 1, 2 module)Eng
- Probabilities and Math Statistics 2 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 3, 4 module)Rus
- Probabilities Theory and Math Statistics 1 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 1, 2 module)Rus
- R Programming and Applications to Finance (Master’s programme; International College of Economics and Finance; 2 year, 3 module)Eng
- R Programming and Applications to Finance (Mago-Lego; 3 module)Eng
- R Programming and Applications to Finance (Master’s programme; International College of Economics and Finance; 1 year, 3 module)Eng
- Statistical Methods for Market Research (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
- Time Series Analysis (Master’s programme; HSE Banking Institute; 1 year, 3 module)Eng
- Time Series and Stochastic Processes (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-4 module)Eng
- Time Series Modeling (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
Courses (2021/2022)
- Applied Statistical Data Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
- Differential Equations (Bachelor’s programme; Faculty of Computer Science; 2 year, 3, 4 module)Rus
- Linear Algebra (Bachelor’s programme; International College of Economics and Finance; 2 year, 1 module)Eng
- Mathematics for Economists (Bachelor’s programme; International College of Economics and Finance; 2 year, 2-4 module)Eng
- Mathematics for Economists (Master’s programme; International College of Economics and Finance; 1 year, 1, 2 module)Eng
- Probability Theory and Statistics (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 1-4 module)Rus
- R Programming and Applications to Finance (Master’s programme; International College of Economics and Finance; 1 year, 3 module)Eng
- R Programming and Applications to Finance (Master’s programme; International College of Economics and Finance; 2 year, 3 module)Eng
- Statistical Methods for Market Research (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
- Time Series and Stochastic Processes (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-4 module)Eng
- Time Series Modeling (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
Courses (2020/2021)
- Applied Statistical Data Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Data Analysis in Python (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 1, 2 module)Rus
- Econometrics (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1-4 module)Rus
- Econometrics (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Rus
- Mathematical Methods for Economists (Bachelor’s programme; International College of Economics and Finance; 2 year, 1-4 module)Eng
- Mathematics for Economists (Bachelor’s programme; International College of Economics and Finance; 2 year, 1-4 module)Eng
- Mathematics for Economists (Master’s programme; International College of Economics and Finance; 1 year, 1, 2 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
- R Programming and Applications to Finance (Master’s programme; International College of Economics and Finance; 1 year, 3 module)Eng
- R Programming and Applications to Finance (Master’s programme; International College of Economics and Finance; 2 year, 3 module)Eng
- Time Series Analysis (Master’s programme; HSE Banking Institute; 1 year, 3 module)Eng
- Time Series and Stochastic Processes (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-4 module)Eng
- Time Series Modeling (Bachelor’s programme; Faculty of Computer Science; 4 year, 1, 2 module)Rus
- Time Series Modeling (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
Courses (2019/2020)
- Data Science (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 3, 4 module)Rus
- Econometrics (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1-4 module)Rus
- Econometrics (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Rus
- Econometrics (Advanced Level) (Master’s programme; HSE Banking Institute; 1 year, 2, 3 module)Eng
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences; 4 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1, 2 module)Rus
- Mathematical Methods for Economists (Bachelor’s programme; International College of Economics and Finance; 2 year, 1-4 module)Eng
- Mathematics for Economists (Bachelor’s programme; International College of Economics and Finance; 2 year, 1-4 module)Eng
- Mathematics for Economists (Master’s programme; International College of Economics and Finance; 1 year, 1, 2 module)Eng
- Probability Theory and Statistics (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 1-4 module)Rus
- R Programming and Applications to Finance (Master’s programme; International College of Economics and Finance; 1 year, 3 module)Eng
- R Programming and Applications to Finance (Master’s programme; International College of Economics and Finance; 2 year, 2 semester)Eng
- Time Series Analysis (Master’s programme; HSE Banking Institute; 1 year, 3 module)Eng
Courses (2018/2019)
- Econometrics (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1-4 module)Rus
- Econometrics (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Rus
- Econometrics (Advanced Level) (Master’s programme; HSE Banking Institute; 1 year, 2, 3 module)Eng
- Mathematical Methods for Economists (Bachelor’s programme; International College of Economics and Finance; 2 year, 1-4 module)Eng
- Mathematics for Economists (Bachelor’s programme; International College of Economics and Finance; 2 year, 1-4 module)Eng
- Mathematics for Economists (Master’s programme; International College of Economics and Finance; 1 year, 1 semester)Eng
- Probability Theory and Statistics (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 1-4 module)Rus
- R Programming and Applications to Finance (Master’s programme; International College of Economics and Finance; 1 year, 2 semester)Eng
- Time Series Analysis (Master’s programme; HSE Banking Institute; 1 year, 3 module)Eng
Courses (2017/2018)
- Mathematics for Economists (Bachelor’s programme; International College of Economics and Finance; 2 year, 1-4 module)Eng
- Probability Theory and Statistics (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 1-4 module)Rus
Conferences
- 2016
Modern Econometric Tools and Applications – META2016 (Нижний Новгород). Presentation: BVARs: the Great Grimpen Mire
- 20152nd International Conference "Modern Econometric Tools and Applications" (Нижний Новгород). Presentation: Macroeconomic forecasting with the BVAR: an application on Russian data
- 2014
X Международная конференция "Применение многомерного статистического анализа в экономике и оценке качества" (Москва). Presentation: Прогнозирование банкротства средних и малых российских компаний
Publications15
- Book Борзых Д. А., Демешев Б. Б. Эконометрика в задачах и упражнениях. Издание 2. М. : Издательская группа URSS, 2017.
- Article Демешев Б. Б., Малаховская О. А. Картографирование BVAR // Прикладная эконометрика. 2016. Т. 43. С. 118-141.
- Article Демешев Б. Б., Малаховская О. А. Макроэкономическое прогнозирование с помощью BVAR Литтермана // Экономический журнал Высшей школы экономики. 2016. Т. 20. № 4. С. 691-710.
- Preprint Demeshev B., Malakhovskaya O. A. Forecasting Russian macroeconomic indicators with BVAR / National Research University Higher School of Economics. Series WP BRP "Basic research program". 2015. No. 105.
- Preprint Демешев Б. Б., Малаховская О. А. Картографирование BVAR / Высшая школа экономики. Серия WP12 "Научные доклады лаборатории макроэкономического анализа". 2015. № 4.
- Preprint Демешев Б. Б., Малаховская О. А. Сравнение случайного блуждания, VAR, BVAR Литтермана при прогнозировании выпуска, индекса цен и процентной ставки / Высшая школа экономики. Серия WP12 "Научные доклады лаборатории макроэкономического анализа". 2015. № 3.
- Article Демешев Б. Б., Тихонова А. С. Динамика прогнозной силы моделей банкротства для средних и малых российских компаний оптовой и розничной торговли // Корпоративные финансы. 2014. Т. 31. № 3. С. 4-22.
- Article Демешев Б. Б., Тихонова А. С. Прогнозирование банкротства российских компаний: межотраслевое сравнение // Экономический журнал Высшей школы экономики. 2014. Т. 18. № 3. С. 359-386.
- Preprint Тихонова А. С., Демешев Б. Б. Прогнозирование банкротства российских компаний: межотраслевое сравнение. / Высшая школа экономики. Серия WP2 "Количественный анализ в экономике". 2014. № 4.
- Chapter Тихонова А. С., Демешев Б. Б. Прогнозирование банкротства средних и малых российских компаний // В кн.: Труды X Международной конференции "Применение многомерного статистического анализа в экономике и оценке качества" / Отв. ред.: С. А. Айвазян, В. С. Мхитарян. М. : ЦЭМИ РАН, 2014.
- Book Борзых Д. А., Демешев Б. Б. Эконометрика в задачах и упражнениях. М. : Издательская группа URSS, 2014.
- Article Демешев Б. Б. Инновационный подход к преподаванию теории вероятностей студентам нематематических направлений // Научная перспектива. 2012. № 4
‘One of HSE University’s Strategic Goals is to Make Quality Higher Education Accessible to Students from all Corners of Our Country’
The first graduation ceremony for the joint HSE University and Far Eastern Federal University (FEFU) Bachelor’s Programme in Economics took place in Vladivostok. 43 students were each awarded two diplomas. The programme, launched at the School of Economics and Management of Far Eastern Federal University in 2018, gives students the opportunity to master Russia's strongest programme and earn a diploma from HSE University without leaving the Far East. HSE University currently offers 11 double degree programmes at undergraduate and graduate level with nine Russian universities.
The HSE Look April issue
The second issue of 2020 presents two interviews on history and innovation and our advice on working remotely.
HSE Staff Members Receive University Medals and Notes of Acknowledgement
On October 22, some university staff members were awarded HSE medals and notes of acknowledgement from the Rector.