Newsletter Subject

⚡How I learned to buy expensive stocks

From

riskhedge.com

Email Address

subscribers@riskhedge.com

Sent On

Fri, Aug 16, 2024 03:06 PM

Email Preheader Text

Investors who are allergic to high valuations are missing out… . Use any potential weakness to

Investors who are allergic to high valuations are missing out… [The Jolt with Stephen McBride] How I learned to buy expensive stocks The S&P 500 has jumped 5% since last Monday’s vicious selloff, but we’re not out of the woods yet. Data from Ned Davis Research shows stocks typically retest the lows after big spikes in volatility before making new highs. We’re also nearing September, the worst month for stocks over the past decade. The S&P 500 has fallen in 7/10 of the last Septembers. And remember, [stocks are usually weak ahead of US presential elections](. Use any potential weakness to scale into great businesses in long-term megatrends. Quality disruptors will power ahead, no matter what markets do in the short term. - How I learned to stop worrying and buy expensive stocks. The 10-year average price-to-earnings (P/E) ratio (called the CAPE ratio) is a commonly used way to measure how expensive or cheap US stocks are from a long-term perspective. Guess the number of months stocks have been “cheap” based on this metric since 2010, if you consider “cheap” to be below the long-term average… Zero. Investors who were allergic to high valuations have missed the chance to quadruple their money in the S&P 500 since 2010: It’s not that buying expensive stocks is a smart strategy (it’s not). It’s that comparing the valuations of stocks today to those of 40 years ago is a big mistake. Stocks deserve to be more expensive today because the businesses they represent are so much better. Today’s crop of S&P 500 companies are faster-growing… more profitable… and more predictable than ever. Why wouldn’t you pay a premium for Microsoft (MSFT)—which grows its earnings by 10% like clockwork—compared to a steel miner whose sales bounce around like a Yo-Yo? America is a business, and one that just keeps improving. Look at this chart. It shows what percent of sales S&P 500 companies turn into pure profit. It’s nearly tripled since 1995! Source: Standard & Poor’s Invest in great businesses at reasonable prices, and the rest will take care of itself. That’s what we do in Disruption Investor. [Upgrade here.]( - The writing was on the wall for Nvidia (NVDA). Nvidia eclipsed Microsoft to become the world’s most valuable company on June 18. That’s also the day Nvidia’s stock peaked, and it’s fallen 12% since. Many other artificial intelligence (AI) winners have slipped, too. The corporate media mill is in overdrive writing about the AI bubble bursting. Have a look: Source: Google What bubble are they talking about? This is just lazy reporting. Yes, Nvidia’s stock has surged 600%+ in the past two years. Its profits have also jumped 600% in the past two years. Its stock price basically tracked earnings tick for tick! Dozens of AI winners have soared 50%+ since the start of 2024. The current lull in AI stocks is a healthy correction within a multi-year uptrend. Two signals that’ll warn of an AI bubble: #1: AI stocks trading at insanely high valuations. Not there yet. #2: Big AI IPOs. Remember, [when the leading company in a hot sector goes public, it often marks “the top.”]( We’re likely a year away from OpenAI or Anthropic IPOing. [Disruption Investor](members took profits on Nvidia earlier this year. We’re reinvesting those gains into lesser-known winners from the AI infrastructure buildout. This selloff is a great buying opportunity for long-term investors. - Do you know who manufacturers Nvidia’s AI chips? Taiwan Semiconductor (TSM), or “TSMC” for short. Nvidia basically sends TSMC an email once a year with a new chip design. Then, engineers in Taiwan use $300 million machines to print these designs onto large silicon wafers. I’m oversimplifying, but only a little. Guess who makes Google’s (GOOG) chips? TSMC. How about Apple (AAPL)… Microsoft… Amazon (AMZN)… and Facebook’s (META) processors? Yep, also Taiwan Semiconductor. [ShareÂ]( AI runs on cutting-edge chips, which really means AI runs on TSMC. Goldman Sachs recently sounded the alarm about how little money companies are earning from AI. It should’ve read TSMC’s earnings report. Little-known fact: Unlike in the US, the Taiwan Stock Exchange requires companies to report monthly earnings. Last month, TSMC’s sales surged 44% to a new record high, driven by AI chip demand. Remember, [new technologies follow the predictable I.P.A. pattern](. Infrastructure comes first, followed by platforms, then apps. [Disruption Investor]( members are up 80% on TSMC since we bought it. Continue to invest in companies drinking from the firehose of AI infrastructure spending. - Today’s dose of optimism… I’ve been critical of US colleges for radicalizing kids and burying them in mountains of debt. But one thing they’re great at is making Olympians. Athletes from four top California schools won a combined 89 Olympic medals in Paris. If Stanford were a country, it would have placed eighth in the medal rankings! Ahead of Canada, Germany, and Spain. Here’s the list of the most “winning” US schools. Did your school make the list? Source: CBK Report Stephen McBride Chief Analyst, RiskHedge Suggested Reading... [We got the selloff—now what?](  [Stephen's Crypto Learning Center]( Share Your Thoughts on this Article [Post a Comment]( Keep up with RiskHedge on the go. Download the App [Get it on Google Play]( [Download on the App Store]( [QR Code] If someone forwarded you this email and you would like to be added to our email list to receive the Jolt every week, [simply sign up here.]( This email was sent to {EMAIL} as part of your subscription to The Jolt. To opt-out, please visit the [unsubscribe page](. [READ IMPORTANT DISCLOSURES HERE.]( YOUR USE OF THESE MATERIALS IS SUBJECT TO THE TERMS OF THESE DISCLOSURES. Copyright © 2024 RiskHedge. All Rights Reserved RiskHedge | 1417 Sadler Road, PMB 415 | Fernandina Beach, FL 32034

Marketing emails from riskhedge.com

View More
Sent On

06/12/2024

Sent On

06/11/2024

Sent On

30/10/2024

Sent On

17/10/2024

Sent On

15/10/2024

Sent On

14/10/2024

Email Content Statistics

Subscribe Now

Subject Line Length

Data shows that subject lines with 6 to 10 words generated 21 percent higher open rate.

Subscribe Now

Average in this category

Subscribe Now

Number of Words

The more words in the content, the more time the user will need to spend reading. Get straight to the point with catchy short phrases and interesting photos and graphics.

Subscribe Now

Average in this category

Subscribe Now

Number of Images

More images or large images might cause the email to load slower. Aim for a balance of words and images.

Subscribe Now

Average in this category

Subscribe Now

Time to Read

Longer reading time requires more attention and patience from users. Aim for short phrases and catchy keywords.

Subscribe Now

Average in this category

Subscribe Now

Predicted open rate

Subscribe Now

Spam Score

Spam score is determined by a large number of checks performed on the content of the email. For the best delivery results, it is advised to lower your spam score as much as possible.

Subscribe Now

Flesch reading score

Flesch reading score measures how complex a text is. The lower the score, the more difficult the text is to read. The Flesch readability score uses the average length of your sentences (measured by the number of words) and the average number of syllables per word in an equation to calculate the reading ease. Text with a very high Flesch reading ease score (about 100) is straightforward and easy to read, with short sentences and no words of more than two syllables. Usually, a reading ease score of 60-70 is considered acceptable/normal for web copy.

Subscribe Now

Technologies

What powers this email? Every email we receive is parsed to determine the sending ESP and any additional email technologies used.

Subscribe Now

Email Size (not include images)

Font Used

No. Font Name
Subscribe Now

Copyright © 2019–2025 SimilarMail.