Oksana Bashchenko

Dr. Oksana Bashchenko is a researcher at the Swiss Finance Institute - HEC Lausanne, with affiliations to École polytechnique fédérale de Lausanne (EPFL). Her work focuses on quantitative finance, cryptocurrency, and machine learning applications in financial markets.

Research interests include:

• Application of deep learning (particularly LSTM networks) to financial time series analysis
• Asset bubble detection through strict local martingale models
• Bitcoin price dynamics and NLP-based sentiment analysis
• Volatility burst modeling and multi-analyst study methodologies

Recent publications examine:

• Empirical finance frameworks through Nonstandard Errors (2024) with colleagues
• Deep learning approaches to market volatility
• Cryptocurrency price factors through BERT-based NLP