Sentiment gleaned from newspaper text is highly valuable, having long provided the plucky investor with a stock-picking edge. But the ‘text as data’ revolution of recent years has opened up new possibilities, allowing for systematic and scaled macroeconomic analysis. Joel Suss and Chris Giles make use of the FT’s own archive to demonstrate the power of quantifying text.

Read The ‘text as data’ revolution and the value of (financial) news