Rate My Professor Matthew Greenwood-Nimmo

Matthew Greenwood-Nimmo is a Professor in the Faculty of Business and Economics at the University of Melbourne, currently serving as Head of Macroeconomics at the Melbourne Institute of Applied Economic and Social Research. In this role, he leads the Macroeconomic Modelling, Forecasting and Policy Analysis team. An expert in macro and financial econometrics, his research focuses on global economic linkages, the analysis of financial networks, economic asymmetries, and the forces shaping the Australian macroeconomy. He earned his BSc in Business and Financial Economics in 2004, MA in Economics in 2005, and PhD in Economics in 2009 from the University of Leeds, where his doctoral thesis addressed new challenges for monetary policy in the twenty-first century.

Greenwood-Nimmo's academic career includes positions at Leeds University Business School as Lecturer in Economics from 2008-2009 and 2010-2012, followed by his appointment at the University of Melbourne in 2013 as Lecturer, advancing to Senior Lecturer in 2014, Associate Professor in 2020, and Associate Dean (Engagement) in 2022. He also directs the Finance and the Macroeconomy Programme at the Australian National University's Centre for Applied Macroeconomic Analysis. His contributions have been recognized with awards such as the Dean’s Certificate for Research Excellence in 2016 and Excellence in Teaching in 2013, alongside substantial grants including multiple Australian Research Council Discovery Projects, such as one from 2024-2026 valued at AUD 345,566 for research on financial networks. Notable publications include "Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework" (2014), "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks" (2022, Management Science), "Risk and Return Spillovers among the G10 Currencies" (2016, Journal of Financial Markets), "Recent Developments of the Autoregressive Distributed Lag Modelling Framework" (2023, Journal of Economic Surveys), and contributions to books like "The GVAR Handbook" (2013). His work has advanced methodologies in probabilistic forecasting, spillover analysis, and nonlinear econometric modeling.