In a recent discussion with MarketWatch, LACM’s Hal Reynolds highlighted the role that Big Tech continues to play in supporting the US stock market. While concerns about the broader economic environment remain, new developments in technology and AI are shaping both risks and opportunities for investors.
The Shiller price-to-earnings ratio has reached levels last seen prior to the dot-com crash, raising concerns about a possible bubble for US stocks. In this article with the Telegraph, Hal Reynolds of LACM notes that while AI-driven bubble concerns are understandable, he believes that today’s market is fundamentally stronger, driven by companies with robust earnings growth and more durable cash flows.
In this post-election Bloomberg article assessing President Trump’s trade policies, LACM’s Co-CIO, Hal Reynolds, discusses the President’s pro-growth measures and what they could mean for equities.
Following another surge in the S&P 500 over the course of 2024, LACM’s Co-CIO, Hal Reynolds, features in this Wall Street Journal article assessing whether another year of robust gains is possible for a stock market that is looking precariously expensive.
The use case for artificial intelligence in asset management is understood, but there are meaningful questions as to what the technology can actually achieve. In this IPE article, Co CIO, Edward Rackham, discusses LACM’s natural language processing-based framework, which identifies linkages between firms that transcend traditional sector classifications.
Investors are increasingly scrutinizing ESG criteria and demanding more detailed and transparent reporting on ESG metrics. In this article with P&I, LACM’s Laina Draeger, Director of Responsible Investing, emphasizes that superficial ESG claims are no longer sufficient, as investors seek verifiable data to support companies' ESG efforts
LACM’s Co-CIO, Hal Reynolds, features in this Bloomberg article, which discusses how companies are using the strength of stock markets to raise equity and take out leverage in the face of much higher borrowing costs after the end of the easy money era.
As billions of people head to the polls in 2024, how will politics influence flows to emerging market equities? LACM’s Co-CIO, Hal Reynolds, features in an article with IPE, discussing how regulatory activity may restrict productivity growth and constitute a cap on earnings growth for emerging market companies.
Artificial Intelligence and Machine Learning models have shown promise in improving forecasting accuracy across a wide range of problems, such as image and speech recognition, text translation, and medical diagnosis. In this feature article with IPE, LACM’s Co-CIOs, Ed Rackham and Hal Reynolds, discuss how Natural Language Processing, a subset of Machine Learning, can help to identify linkages between equity market peers.
