289. “It’s not the cycle you’re in that matters, it’s the starting point"

FundCalibre - Investing on the go

Bob Kaynor, manager of the Schroder US Mid Cap fund, digs deeper into the US economy. We touch on the ‘Magnificent Seven’ and how they shed light on a wider issue: can the level of concentration in the S&P 500 continue? Or is the AI bubble set to bust? We navigate through the unique challenges posed by student debt, higher interest rates, the US consumer, the employment cycle and the potential impact of upcoming global elections on the market. Bob rounds out the episode by giving his insights into the small- and mid-cap area of the market offering a glimpse into the fund’s bottom-up approach.

What’s covered in this episode:

• The dominance of the ‘Magnificent Seven’ stocks
• Can market concentration in the US continue?
• The sustainability of high valuations in tech and AI
• Will the AI bubble burst?
• Will student debt repayments impact the US consumer?
• The ability of the US consumer to drive economic growth long term
• The impact of the employment cycle and labour hoarding
• The influence of global elections on the economy and stock market
• Why insurance companies look appealing today
• The prospects for small- and mid-cap investments in 2024

More about the fund:

Managed by Bob Kaynor in New York, this fund focuses on small- and mid-cap US companies, aiming to outperform the Russell 2500 Total Return Lagged index over three to five years. The fund's success is attributed to meticulous stock-level analysis, emphasising stock selection over sector allocation. Bob's hands-on approach, supported by a seasoned analyst team, distinguishes the fund.

Learn more on fundcalibre.com
Please remember, we’ve been discussing individual companies to bring investing to life for you. It’s not a recommendation to buy or sell. The fund may or may not still hold these companies at the time of listening. Elite Ratings are based on FundCalibre’s research methodology and are the opinion of FundCalibre’s research team only.