Firstly, the machine learning model is only trained using earnings per share, and earnings transcript data (e.g. sentiment, prose, and text complexity) which means it doesn’t consider other elements ...

Earnings Call Sentiment Analysis. This repository includes my work on extracting the focus area of companies from their earnings calls transcripts. - nilijing/Earnings_Call_Analyzed_By_NLP. Skip to ...

For earnings calls, this sort of analysis requires exponentially more processing power since the typical earnings call transcript has about 500 billion possible combinations in it, according to Pope.

Aggregate earnings per share of all S&P 500 companies in the first quarter climbed 13.1% year over year. S&P 500 EPS saw a 16.2% year-over-year increase in the fourth quarter of 2024.

Detailed price information for Concentrix Corp (CNXC-Q) from The Globe and Mail including charting and trades.

Many funds already use algorithms to trawl through transcripts of earnings calls and company presentations to glean signals from executives’ choice of words — a field known as natural language ...