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Hedges by Ick Chu topiarist, Melbourne, 2023
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In 2024, you hedge your stocks with stocks — not bonds

Now, diversification comes from owning both “the stock market” and “the stocks in the market.”

Luke Kawa

In 2024, diversification isn’t dead. But it’s certainly different from virtually any market environment we’ve seen in the past 30 years.

Harry Markowitz taught the world that diversification is the free lunch in the world of investing: by pooling together many securities, you can create a group that is less volatile than the sum of their individual parts. This helps investors triangulate their ideal mix of risk versus return. 

This approach holds true both within asset classes and between them. 

Owning a variety of blue chip oil stocks, some high-flying tech stocks, and a smattering of consumer-oriented stocks might not make for a very volatile portfolio at the aggregate level because what’s positive for one or two of these groups might be negative for the others (or vice versa). What will drive the overall portfolio volatility is the extent to which these groups move in the same or different directions, not the gyrations of the most wild single security.

Between asset classes, the traditional method of building a diversified portfolio is the 60/40, a mix of stocks and bonds. The simple explanation is that stocks do well when the economy does well: there’s a bit of symbiosis with profits and employment tending to trend in the same direction. And bonds do well when there’s an economic downturn and central banks are aggressively lowering rates to try to reboot activity. Bonds do well enough in the bad times that your downside has been protected — and you have money to invest back into beaten-down stocks when they’re cheaper.

But this is not the type of market environment we’ve been living in.

This year, diversification has not come from owning a mix of stocks and bonds. It has come from owning both “the stock market” and “the stocks in the market.”

Through Tuesday, the 13-week correlation between the weekly returns of the S&P 500 and the S&P 500 equal weight index has plummeted to 26% – its lowest level on record going back to March 1994. On average, this correlation has been 95%!

Meanwhile, the correlation between the weekly returns of the S&P 500 and long-term US Treasury bonds is sitting at 60%, well above the long-term average of -15%.

Bonds are now more positively correlated with the S&P 500 than it is with its individual parts, a phenomenon we have not seen since 1999 as the dot-com bubble raged.

Some interesting implications:

A portfolio that’s a 50/50 blend of the daily returns of the S&P 500 and its equal weight counterpart is up about 5% more than a 50/50 mix of the S&P 500 and longer-term US Treasury bonds. That’s not necessarily too surprising. Stocks should be higher-risk, higher reward.

But what is shocking is that the max drawdown (the biggest drop from an intermediate peak to trough) for the two portfolios is virtually identical – 5.35% for the all-stock version and 5.28% for the stocks plus bonds edition.

It was one thing for the S&P 500, its equal weight edition, and bonds to all be relatively highly positively correlated for much of 2022 and 2023. Elevated inflation was a big threat to bonds because of the Federal Reserve’s series of rate hikes, while the speed and magnitude of those rate cuts raised fears that the US economy would soon suffer a recession.

Now, even after spending a ton of effort unpacking the reasons why the stock market’s internals are so out of whack, I’m still at a loss to explain why this has coincided with a very positive relationship between the S&P 500 and bonds. Especially since the average constituent in the stock market seemingly is more in need of lower rates to bolster their earnings prospects much more than megacap tech, where the AI theme reigns supreme.

But one thing we “know” about markets like these (given that this marks an n=2 over the past 30 years) is that they’re extremely rare, and don’t tend to last for very long.

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Data center trade deep in the red

The data center trade is seeing its steepest sell-off since the market rout that was ignited by President Donald Trump’s Rose Garden tariff announcement back in April.

Goldman Sachs’ themed basket of AI data center shares was down more than 6% at around 12 p.m. ET, putting it on track for its worst day since the tariff announcement.

Losses hammered seemingly every form of input needed for the sprawling concrete server warehouses at the heart of the investment boom.

Hardware makers including data storage companies like Sandisk, Western Digital, and Seagate Technology Holdings, as well as DRAM maker Micron — some of the best-performing stocks in the S&P 500 this year — were taking a licking, as were networking stocks Cisco and Arista Networks and data center builders such as Vertiv Holdings and electrical and mechanical contractor Emcor.

Optimism for all things AI has seemed to evaporate throughout the week, as the stock market greeted lackluster quarterly numbers from Oracle and Broadcom with jittery sell-offs and concern about growing debts that could crater cash flows.

Those worries seem to be spreading to ancillary beneficiaries of the AI boom on Friday, gouging a chunk out of charts that retail dip buyers have not — at least so far — stepped in to buy as we head into the weekend.

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Luke Kawa

Oracle denies Bloomberg report that it’s delaying some data centers for OpenAI to 2028 from 2027

Getting a multi-hundred-billion-dollar backlog for cloud computing revenues from data center projects is easy. Building them is hard.

Oracle extended declines to as much as -6.5% on the day on the heels of a Bloomberg report that the cloud giant has pushed back the completion dates for some of the data centers it’s building for OpenAI to 2028 from 2027, citing people familiar with the work. Oracle denied this report, telling Reuters that there have been no delays to any sites required to meet its contractual commitments and that all milestones remain on track.

Shares had fully pared their report-induced drop ahead of Oracle’s reply, but remain in the red for the day.

Bloomberg said the reported postponement was attributed to labor and material shortages.

Oracle has been spending more on capex than Wall Street had anticipated, leading to higher-than-expected cash burn. Management boosted its full-year capital spending plans by $15 billion after reporting Q2 results earlier this week.

Oracle’s cloud infrastructure sales came in short of estimates in its fiscal 2026 Q2, a signal that markets already had reason to doubt its ability to quickly turn its humungous RPO (that is, remaining purchase obligations) into revenues.

Traders also seem to be of the mind that potential delays to data center completions are going to limit sales for what goes into them.

Some of the bigger losers since the Bloomberg headline hit the wires include:

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Luke Kawa

Broadcom’s post-earnings tumble is weighing on Google’s entire AI ecosystem

Broadcom’s post-earnings plunge is prompting a sharp pullback in Google-linked AI stocks, which had been on fire thanks to the warm reception to Gemini 3.

The stocks getting hit hard:

A basket of these Google-linked AI stocks compiled by Morgan Stanley is suffering one of its worst losses of the year. This brisk retreat also follows the release of GPT-5.2 by OpenAI.

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Citi initiates coverage of Planet Labs with “buy” rating

Planet Labs was up after aerospace and defense analysts at Citi initiated coverage with a “buy/high risk” rating and $19 price target.

The stock is up more than 40% this week, after a strong earnings result that spotlighted the company’s growing opportunity in linking its core business of capturing daily images of the planet with AI technologies.

Citi analysts noted the potential for a positive flywheel effect for Planet Labs as it deepens its focus on integrating AI into its offerings:

“AI is accelerating the conversion of pixels to decisions, where Planet’s daily scan and deep archive offer a uniquely large training corpus and broad-area foundation for automation. AI-enabled solutions (MDA/GMS/AMS) are gaining traction with customers such as NATO and the U.S. DoW, validating the approach of integrating AI into broad-area monitoring products... These AI moves create a compounding advantage: more coverage generates more training data, which improves models, which in turn increases product utility and addressable demand.”

The stock has also caught the attention of some of the retail trading crowd, with call options activity spiking on Thursday as traders rode the market reaction to the results.

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