Oxford Economics’ rigorous approach to forecasting and research consistently puts us at the top of industry awards
Over the years our independent and global approach to forecasting and research has won us many awards. An emphasis on quantitative rigour combined with the calibre of our staff means that our approach consistently produces results, as shown by our high top multi-year ranking in various forecast accuracy surveys.
Oxford Economics has consistently scored higher than any other UK forecaster over the past 3 years in FocusEconomics' Best Economic Forecaster Awards.
Oxford Economics has consistently scored higher than any other UK forecaster over the past 10 years in the Sunday Times Smith League.
Oxford Economics is proud to have been awarded the Consensus Economics 2019 award for forecast accuracy in the United States.
Oxford Economics' Edward Cone, Richard Holt, Michael Zielenziger won the 2019/20 Society of Professional Economists Rybczynski Prize Essay Competition, with a fascinating piece on the impact of robots on regional inequalities. The Rybczynski Prize is awarded to the best piece of writing on economics.
We're delighted that Oxford Economics has been included in The Sunday Times HSBC International Track 200 for 2020.
Oxford Economics placed Top 5 in select underlying indicators and Top 10 overall in Bloomberg’s U.S. Economics Forecast Rankings: Q1 2020.
Oxford Economics is proud to have been awarded the Consensus Economics 2018 award for forecast accuracy in Spain.
The US Macroeconomics team ranked fourth in the 2018 Wall Street Journal Economic Outlook Survey. They were the most accurate on the unemployment rate and GDP forecast out of 70 economists.
Winner of the MarketWatch’s US Forecaster of the Month contest for March 2019, among 45 economists. On our win, MarketWatch commented: “in the March contest, Daco’s team had the most accurate forecasts among 43 teams on three of the 10 indicators we track in the contest: the ISM manufacturing index, the consumer price index, and industrial production”.
Oxford Economics placed Top 5 in select underlying indicators and Top 20 overall in Bloomberg’s U.S. Economics Forecast Rankings: Q2 2019.
Oxford Economics ranked fifth for the Pulsenomics Home Price Survey in 2018 and placed fourth for the 2017-2018 period.
Oxford Economics placed Top 5 in select underlying indicators and Top 20 overall in Bloomberg’s U.S. Economics Forecast Rankings.
Oxford Economics placed Top 10 in select underlying indicators and Top 20 overall in Bloomberg’s U.S. Economics Forecast Rankings.
Olivier Blanchard, Senior Fellow at the Peterson Institute for International Economics and formerly chief economist at the International Monetary Fund spoke at our annual conference in New York alongside our CEO, Adrian Cooper and Chief US Economist, Gregory Daco.
Our economists are regularly featured in articles published by news outlets such as The Wall Street Journal, Bloomberg, and the Financial Times. They appear in interviews on Bloomberg, CNBC Squawk Box, CNN, Yahoo! Finance and more.
Sarah Hunter, BIS Oxford Economics' Chief Economist speaking at the Australian Property Institute’s (API) National Property Conference on 25th October 2019.
Tony Stillo, Oxford Economics' Director of Canada Economics, speaking on Bloomberg on 22nd October 2019.
Gabriel Sterne, Oxford Economics' Head of Strategy Service & Global EM Research, speaking at the Australian Financial Review annual conference 2019.
Gregory Daco, Oxford Economics' Chief US Economist, speaking at the GTR annual conference in Chicago June 12, 2019.
"Oxford Economics’ econometric models has provided a robust forecasting backbone and innovative approach to forecasting the commercial real estate sector."
"The scope of data availability and ease of access, coupled with an expert team on hand to reference, means Oxford Economics is one of our trusted economic experts."
"Oxford Economics’ data and forecasts form the backbone of our demand models. The global consistency and granular detail available in their expansive dataset allows us to focus on the variables most relevant to our business."