Professor Marcus Feldman
Applied Econometrics
Professor Marcus Feldman is an authority in applied econometrics and machine learning volatility. His research output covers statistical modeling, hybrid techniques, and the practical limits of algorithmic forecasting in finance.
Beyond academia, Feldman consults for analytics teams in the banking and insurance sectors, helping bridge the gap between innovative research and applied model risk management. His work involves critical review of algorithmic forecasting, technical workshops for practitioners, and the development of new tools for stress-testing volatility models.
He is a frequent speaker at international conferences and is known for his direct, evidence-driven teaching style. Feldman encourages students and colleagues to question received wisdom and to validate model assumptions with robust empirical testing.