معرفی
Michael O'Neill is an Honorary Adjunct Associate Professor at the Centre for Data Analytics. His research focuses on financial market dynamics, volatility analysis, and econometric methodologies. He has contributed to understanding temporal aggregation effects in time-series data, causality between VIX exchange-traded products and futures contracts, and fund management capacity issues. His work appears in journals like Journal of Accounting Literature and Journal of Futures Markets.
Key research areas include volatility modeling, market state analysis, and financial instrument interactions. Collaborative projects involve analyzing high/low volatility regimes and systematic sampling techniques. His 2025 review on temporal aggregation highlights methodological advancements in financial time-series analysis.
No scientific awards or grants are explicitly mentioned in the text. Advising relationships or lab affiliations are not detailed here.
