Case Study: a global hedge fund uncovers alpha with S&P Global Textual Data Suite

Searching for Alpha with Textual Data

S&P Global worked with a leading global hedge fund company whose quantitative and fundamental investment teams needed a faster way to extract insights from the growing volume of earnings call transcripts. The firm wanted broad global coverage of machine-readable transcript data, NLP-based sentiment analysis, and an efficient delivery method to support investment research and help uncover alpha.

S&P Global implemented its Textual Data Suite, including Machine Readable Transcripts, Textual Data Analytics, Xpressfeed, and low-latency Event Driven Alerts. The solution gave the hedge fund access to global historical coverage, 39+ sentiment and behavioral metrics, metadata tagging, and flexible delivery through FTP, cloud, and XML feeds, helping the teams analyze information faster, backtest across markets, and potentially identify additional investment opportunities.