Case Study: DNB achieves accurate Maersk earnings forecasts with Xeneta

DNB Markets, a leading provider of equity research in the maritime industry, creates consensus-beating forecasts using Xeneta’s data

DNB Markets, the shipping team at DNB, needed a better way to forecast earnings for major container shipping lines like Maersk. Their existing data sources were either too inaccurate or lacked sufficient global and contract-type coverage to support reliable equity research and buy/sell recommendations. They turned to Xeneta for a broader, more accurate freight-rate data source.

Using Xeneta’s database of global contracted ocean freight rates, including both short- and long-term rates, DNB built a model to estimate Maersk’s average container rates across global corridors. With Xeneta’s data, the model achieved a strong historical fit (R² = 0.93) and enabled DNB to forecast earnings before official results were released, improving the quality of its research and guidance for clients.

DNB

Nicolay Dyvik

Head of Shipping Research