Broadway ticket sales, illustrating consumer sentiment; emissions data, illustrating trends in manufacturing output; and so on are all very useful modern day data-led metrics. Combined with traditional data, the accuracy of inflation risk models should therefore go up in future years.
Artificial intelligence (AI) can help mine these non-traditional data streams more effectively as well, while also giving central banks another tool to improve their hitherto poor forecasting of inflation risk so far this decade. “ChatGPT and other generative AI tools might help with auto correlation modelling as well,” speculated another panellists.