Miguel Colburn Herculano

Miguel Colburn Herculano is a Lecturer in Finance at the Adam Smith Business School, University of Glasgow, and an Advisor at the Alan Turing Institute. Previously, he worked as a Quantitative Analyst at Schroders in London, taught at the University of Nottingham, and conducted post-doctoral research at the University of Freiburg. He holds a PhD in Financial Economics from the University of Glasgow and has professional experience in actuarial science and central banking at Portugal's Central Bank.

His research focuses on the intersection of macroeconomics, finance, and applied econometrics, with publications addressing topics such as systemic risk, financial contagion, investor sentiment, and policy-relevant financial indices. His work has been published in journals like Quantitative Finance and Journal of Empirical Finance, as well as policy-oriented reports for institutions like the Reserve Bank of New Zealand and European Systemic Risk Board.

Miguel teaches courses including Econometrics II (MRes), Statistical Machine Learning (MSc), and Empirical Asset Pricing (MSc). He advises students such as Zhiyuan Pang on topics like Emission Trading Schemes and Asset Pricing. His research has contributed to understanding global economic conditions, financial stress transmission, and the design of financial stability metrics.