Newcomer of the Year: StatWeather
Bayesian probabilities have been put to use in a diverse range of applications. Traders have used them to attempt to predict the rise and fall of the stock market; California-based internet giant Google uses them to predict which links website visitors will click on; and New York-based journalist and statistician Nate Silver used them to successfully predict the outcome of the 2008 and 2012 US presidential elections.
One area where they are not usually used is to forecast the weather. Instead
More on Awards
Market-maker/liquidity provider of the year: DV Commodities
Energy Risk Awards 2026: Commodity trader stands out for breadth of coverage, registering record volumes during recent crisis events
Deal of the year: ENGIE and Return’s virtual FPA
Energy Risk Awards 2026: Virtual battery portfolio deal provides a template for scaling battery storage across Europe
Risk management is key in this unpredictable environment
With energy markets upended by crisis after crisis, the best strategy is always to be hedged against extremes
Precious metals house of the year: RBC Capital Markets
Energy Risk Awards 2026: Bank’s physical capabilities enhance precious metals offering amid extreme volatility
Commodity broker of the year: Marex
Energy Risk Awards 2026: Breadth, reach and balance sheet help Marex stand out in volatile markets
Environmental products house of the year: Marex
Energy Risk Awards 2026: Marex sees opportunity for environmental commodities in the latest energy crisis
Oil and products house of the year: Macquarie Group
Energy Risk Awards 2026: Bank’s physical oil capabilities allow it to create vital flexibilities for clients facing tumultuous markets
Natural gas/LNG house of the year: Macquarie Group
Energy Risk Awards 2026: In rapidly shifting gas market, bank’s wide physical activity helps clients unlock crucial optionality