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Markets Absorb Earnings and Oil Shock

5/1/202629 min

The latest in finance, economics and investment.
Watch Tom and Paul LIVE every day on YouTube: http://bit.ly/3vTiACF.
Bloomberg Surveillance hosted by Tom Keene & Paul SweeneyFriday, May 1, 2026
Featuring:
1) Amanda Lynam, Chief Credit Strategist at Goldman Sachs, discusses AI-related debt issuance and the long term view of the bond market.
2) Ken Kim, Senior Economist at KPMG, brings us into the market open and talks rising oil prices, earnings, and US economic and consumer health.
3) Barbara Humpton, CEO at USA Rare Earth, discusses rare Earth production and mining as well as the Trump admin taking a stake in the company and what it means for their operations
4) Odeta Kushi, Deputy Chief Economist at First American, discusses affordability and housing across income levels in the US amid continued inflation and oil shocks.

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Clips

Transcript preview

First 90 seconds
  1. Speaker 00:00

    [gentle music] When the rest of the markets slow down, the futures market keeps moving. Did you know that CME Group S&P 500 and NASDAQ 100 futures trade nearly 24 hours with great liquidity? In the ETF markets, volume and liquidity lessens after 4:00 PM until the next morning. But with futures, you get trading opportunities both day and night. Learn more at cmegroup.com/equityfutures.

  2. Speaker 10:24

    Everyone has been there. Your team's feedback is scattered across emails, chats, and sticky notes. It's a mess. But PDF Spaces in Adobe Acrobat gives you one collaborative workspace to streamline every file and comment. So, if you need six departments to finally agree on a proposal, do that with Acrobat. Need to turn a mountain of feedback into one plan of action? Do that with Acrobat. Want to stop searching for files and finally get everyone on the same page? Do that, do that, do that with Acrobat. Learn more at adobe.com/dothatwithacrobat.

  3. Speaker 21:02

    It's 10:01 AM on a Monday. All at once, your sales leader needs to know which deals are at risk, your PM wants feature adoption by cohort, and your CFO needs one last graph for the board. Now your data team has to say no to somebody. Hex changes that. Ask any data question in plain English and get an analyst grade response, all backed by your actual business context as defined by your data team.

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