Bloomberg Surveillance cover image

Bloomberg Surveillance

Bloomberg Surveillance: Savita Subramanian on Magnificent Seven Rally

Feb 5, 2024
Savita Subramanian, Bank of America Securities Head of US Equity & Quantitative Strategy, discusses the 'Magnificent Seven' tech rally and biggest market risks for 2024. Topics include analyzing valuations, dividends, potential market shift, large regulated companies, energy sector, and stock market risks.
08:40

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Investors may find opportunities for higher returns by picking individual stocks rather than buying the overall market index.
  • Equity income, particularly from larger, well-capitalized financial companies and the energy sector, can serve as a hedge against inflation.

Deep dives

Stock specific risk increases, presenting opportunities for stock picking

The podcast discusses how idiosyncratic or stock specific risk has been on the rise in the market, suggesting that there may be opportunities for investors to make more money by picking individual stocks rather than just buying the overall market index. Despite the dominance of certain companies in the market, the speaker believes that a broadening pattern and a shift in leadership towards other areas of the market could potentially occur in the future. Therefore, they suggest looking for investments in less risky sectors and stocks that are relatively healthy in terms of valuations.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode