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Stansberry Investor Hour

Beware the Market's 'Expectations Bubble'

Stansberry Investor Hour

Stansberry Research

America, How, To, Crash, Money, Learn, Stansberry, Income, Research, Debt, Stocks, Porter, Business, Realestate, Banking, Investment, American, Investing, Invest, Howtosave, Sjuggerud, Ferris, Eifrig, Jubilee, Buck, Sexton, Market, Bonds, Churchouse, Savings, Options, Lashmet

4.4677 Ratings

🗓️ 19 August 2024

⏱️ ? minutes

Summary

On this week's Stansberry Investor Hour, Dan and Corey welcome Bob Elliott back to the
show. Bob is the co-founder, chief investment officer, and CEO of Unlimited. The investment
firm uses machine learning to replicate the index returns of hedge funds, venture capital,
and private equity. Bob explores a wide range of topics in the podcast, from counteracting
inflation with certain investments to the worsening future of globalization.


Bob kicks off the show by talking about the importance of holding yourself accountable with
investing and about bonds in relation to the Federal Reserve's next moves. Many investors
are expecting an aggressive rate-cutting cycle, but as Bob points out, the Fed may not live
up to those expectations. He also discusses the flaws of the 60/40 portfolio in today's
market, why you should hold gold as part of your portfolio, and two primary factors that
could contribute to a long-term inflationary environment. (1:02)


Next, Bob explores ways to properly balance your portfolio to preserve wealth and minimize
volatility. This leads to a conversation about Treasury inflation-protected securities. Bob
describes why they're a better investment today than they were a few years ago and what
gives them an edge over nominal bonds. After, he discusses the supply-and-demand
imbalance in natural resources, oil's supply sensitivity versus precious metals, and the
green-energy movement. (20:57)


Finally, Bob makes his case for investing in natural resource companies and warns listeners
about roll costs when trading in the futures market. He then talks from a macro perspective
about productivity in relation to AI. As he explains, AI has not yet led to large productivity
advances like we saw with the advent of the personal computer. (37:58)

Transcript

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