معرفی
Tatiana Franus is a Lecturer in Finance at Bayes Business School, part of City, University of London. Her research focuses on market microstructure, empirical finance, and machine learning applications in financial markets. She holds a PhD in Finance from Bayes Business School and an MSc in Accounting and Finance from the London School of Economics (LSE). She is a Fellow of the Higher Education Academy (FHEA).
Her expertise includes asset pricing, capital markets, international finance, and risk management. Key research areas involve forecasting financial market manipulation, spoofing effects on market quality, and price discovery in cryptocurrency markets. She has consulted for banks, hedge funds, and exchanges since 2009.
Recent conference activities include presentations at the Economics of Financial Technology Conference (2024), Financial Econometrics Conference (2024), and World Finance Conference (2023). Her work addresses topics like crypto ETPs vs direct investments, machine learning in long-term stock predictions, and informed trading in futures markets.
- Key Awards: Higher Education Academy Fellowship
- Professional Experience: Trading, investment banking, and financial consultancy
