Commodity key themes 2025: Another volatile year for commodity markets as Trump 2.0 looms

Stephen is part of the Industry team where he is responsible for the extraction sector forecasts and contributes to the monthly commodity price forecasts for iron and steel. Stephen joined Oxford Economics in January 2018 after completing his MSc in finance and econometrics at Queen Marys University of London.

Kiran has worked at Oxford Economics for over 15 years. During her time at the company, she has had responsibility for forecasting commodity prices, including energy and metals and is currently working on developing the Commodity Service’s agricultural commodity offering. In addition, she has had responsibility for forecasting several different industrial sectors including metals and engineering for the Industry Service and is now responsible for forecasting the agriculture sector. Kiran has led several consultancy projects in the Industry Team while at Oxford Economics and continues to manage some of the projects in capital goods sector.

Prior to working at Oxford Economics, Kiran worked at CRU, a metals consultancy, where she contributed to the aluminium demand analysis. Kiran holds an MSc in Economics from Nottingham University and a BA (Hons) from Kingston University.

Diego is part of the Industry team where he contributes to the forecasting and monitoring of commodities and he is responsible for the monthly precious metals and agricultural price forecasts. Prior to joining Oxford Economics, Diego gained work experience at Record Currency Management and completed an MPhil in Economics at the University of Oxford. Diego is fluent in English, French, and Italian

Samuel joined Oxford Economics in September 2023 as an economist and is based in the London office. Prior to this, he studied Economics (Bsc) at the University of Bristol and later completed Economics (Msc) at UCL. Intertwined with his studies, Samuel has worked in other fields within consulting.

Before university Samuel completed a Year In Industry placement year at Quod, a leading planning consultancy based in London. During this year Samuel worked in the socio-economic working on nationally significant infrastructure projects in the UK. After this Samuel worked at Wood Mackenzie, a major energy consultancy placed in the liquified natural gas (LNG) teams as a junior analyst. Within economics, Samuel is interested in macroeconomics and the ever-evolving intersection of economics with machine learning. His master’s thesis applied the latest algorithms in sentiment analysis to estimate how sentiment gets conveyed from central banks through the media, to the market.