LLMs, in contrast, interpret context and language structure, allowing them to recognize that phrases such as "growth slowed less than expected" are positive, despite negative words, according to a study by S&P Global Market Intelligence. The findings demonstrate that LLMs can extract insights from earnings call transcripts and convert them into actionable trading signals. These AI-driven signals closely match those from traditional, rules-based sentiment models, showing both methods measure the same underlying reality.
Perplexity is enhancing its Finance dashboard by adding live transcriptions of quarterly earnings calls for Indian public companies and providing a schedule for post-results conference calls.