Nouvelles

The emergence of the Chinese artificial intelligence platform DeepSeek-R1 has raised questions on how it will change the AI value chain, from providers to consumers to real-world business applications of the technology. According to a report by the BBC, researchers with Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co. Ltd., the…

Institutional investors are missing opportunities to use artificial intelligence for effective decision-making, according to Ruslan Goyenko, an associate professor of finance at McGill University, speaking during a session at the Canadian Investment Review’s 2024 Risk Management Conference. He urged investment leaders to push beyond traditional fundamentals and open their minds to…

The next Industrial Revolution is here “It’s the most powerful tool I’ve ever seen applicable to investments. . . . It makes the current investment book obsolete. It’s excellent at anticipating crises and increases in volatility. A couple years ago AI was a good solution, but now it’s really a…

Using textual information from a complete history of regular quarterly and annual (10-Q and 10-K) filings by U.S. corporations, we train machine learning algorithms and large language models, LLMs, to predict future earnings surprises. First, the length of MD&A section on its own is negatively associated with future earnings surprises…

Nowadays, the availability of alternative data and their adoption in the asset management industry to improve investment decision processes is a widespread alternative approach. It comes with the help of Machine Learning and Artificial Intelligence techniques that allow the processing of these data, reducing their noise, and converging Big Data…

How should long-term investors form portfolios? How should they evaluate securities, portfolios, and managers? How should they adapt to time-varying expected returns, volatilities, correlations; and many factors, signals, and strategies? Traditional asset management techniques provide very little guidance to these questions. Academic studies are often rooted in 50 or 70-year-old…