Файзулин Максим Сергеевич

Responsibilities

Participation in practice-oriented and research projects of the Center for Financial Research and Data Analysis of the Faculty of Economic Sciences.

Education

2022

Master's
HSE University

2020

Bachelor's in Economics
Cherepovets State University

Awards and Accomplishments

Winner of the HSE University Best Russian Research Paper Competition – 2023

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
Past Courses

Timetable for today

Full timetable

Employment history

Since October 2021, he has been working at the Center for Financial Research and Data Analysis of the Faculty of Economic Sciences.

12

Nov

2025

Neural Network Trained to Predict Crises in Russian Stock Market

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well even on complex, imbalanced data and incorporates not only economic indicators but also investor sentiment. The paper by Tamara Teplova, Maksim Fayzulin, and Aleksei Kurkin from the Centre for Financial Research and Data Analytics at the HSE Faculty of Economic Sciences has been published in Socio-Economic Planning Sciences.

Maksim Fayzulin