Valeriia Baklanova
- Lecturer: Faculty of Economic Sciences / Department of Financial Market Infrastructure
- Junior Research Fellow: Faculty of Economic Sciences / Centre for Financial Research & Data Analytics
- Valeriia Baklanova has been at HSE University since 2020.
Education and Degrees
2025
Candidate of Sciences* (PhD)2025
Doctoral programmeHSE University
2022
Master's in Applied Mathematics and Information ScienceHSE University
2020
Bachelor's in EconomicsHSE 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.
Courses (2026/2027)
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 2 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 2 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 2 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 1 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 1 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Mago-Lego; Faculty of Economic Sciences)Rus
Courses (2025/2026)
- Data Analysis and Crypto Asset Market Modeling (Mago-Lego; Faculty of Economic Sciences; 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 2 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 2 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 2 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 1 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 1 year, 1, 2 module)Rus
- Past Courses
Courses (2024/2025)
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 2 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 2 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 2 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 1 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 1 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Mago-Lego; 1, 2 module)Rus
- Fundamentals of Machine Learning with Applications in Finance (Mago-Lego; 2 module)Rus
- Fundamentals of Machine Learning with Applications in Finance (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 1 year, 2 module)Rus
- Fundamentals of Machine Learning with Applications in Finance (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 1 year, 2 module)Rus
- Fundamentals of Machine Learning with Applications in Finance (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 1 year, 2 module)Rus
- Fundamentals of Machine Learning with Applications in Finance (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit; 2 year, 2 module)Rus
Courses (2023/2024)
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit, field of study Finance and Credit; 2 year, 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Mago-Lego; 1, 2 module)Rus
- Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences field of study Finance and Credit, field of study Finance and Credit; 1 year, 1, 2 module)Rus
Courses (2022/2023)
- Financial Management (Bachelor’s programme; HSE Graduate School of Business field of study Management; 2 year, 3, 4 module)Rus
Conferences
- 2025
International Doctoral Forum (Пекин). Presentation: RedditSI and NFT Hype Index: Is It Possible to Capture Investor Sentiment in the Crypto Markets?
- 2024
Чтения по экономике и финансам памяти Е. Г. Ясина (Москва). Presentation: Настроения инвесторов и рынок цифровых активов: конструирование и анализ NFT Hype Index
Чтения по экономике и финансам памяти Е. Г. Ясина (Москва). Presentation: Настроения инвесторов и рынок цифровых активов: конструирование и анализ NFT Hype Index
- 2023
Школа по финтеху (Москва). Presentation: Криптовалюты и цифровые активы как объект внимания инвесторов
12
May
2026
‘Any Real-Economy Company Can Use Our Products’
The HSE Centre for Financial Research and Data Analytics combines fundamental and applied work, including in areas unique to Russia such as the connection between sentiment in the media and social networks and financial markets. The HSE News Service spoke with the centre’s director, Professor Tamara Teplova, about its work.