Aleksei Kurkin
- Doctoral Student:Faculty of Economic Sciences / Department of Financial Market Infrastructure
- Research Assistant:Faculty of Economic Sciences / Centre for Financial Research & Data Analytics
- Aleksei Kurkin has been at HSE University since 2024.
Awards and Accomplishments
Winner of the HSE University Best Russian Research Paper Competition – 2023
Postgraduate Studies
2nd year of study
Approved topic of thesis: Analysis of the price dynamics of digital assets and DeFi using sentiment analysis methods and machine learning algorithms.
Academic Supervisor: Teplova, Tamara
Courses (2023/2024)
Data Analysis and Crypto Asset Market Modeling (Master’s programme; Faculty of Economic Sciences; field of study "38.04.08. Финансы и кредит", field of study "38.04.08. Финансы и кредит"; 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; 1 year, 1, 2 module)Rus
- Past Courses
Publications4
- Article Baklanova V., Kurkin A., Teplova T. Investor sentiment and the NFT hype index: to buy or not to buy? // China Finance Review International. 2023 doi (in press)
- Article Teplova T., Kurkin A., Baklanova V. Investor sentiment and the NFT market: Prediction and interpretation of daily NFT sales volume // Annals of Operations Research. 2023 doi (in press)
- Book Теплова Т. В., Куркин А. В. Крипто-код: применение машинного обучения для рынка криптовалют и цифровых активов. М. : ИНФРА-М, 2023.
- Book Теплова Т. В., Соколова Т. В., Файзулин М. С., Куркин А. В. Сентимент инвесторов и аномалии в поведении биржевых характеристик инвестиционных активов. М. : ИНФРА-М, 2022.
