Tuesday, November 12, 2024

Simple Dividend Model Says PepsiCo Is Better Value Than Coke

1. In my recently released book, The Hidden Power of Rising Dividends, I described my 40-year journey into finding methods of valuing stocks.

2. In a recent post, I showed mathematical valuations of Coke and PepsiCo based on their last 15 years of price and fundamental data. As it turned out for both companies, dividends alone had the highest correlation with their prices over this period.

3. I chose Coke (KO) and PepsiCo (PEP) for my first valuation calculation because both are powerful brands that have won over our taste buds, grocery shelves, and portfolios. Since they are so dominant and so similar in their products and marketing, most people assume they are both always about fairly valued because they are so large and their products are a staple of everyday life for many people. 

4. Last time I showed a chart for each company as shown below. The green line on each chart is the actual annual price over the last 15 years. The red line is the predicted price my model calculates. A closer look at the two charts shows that PepsiCo's current price is about 9% lower that its predicted price, based on the correlation between its dividend and price growth over the last 15 years. Coke, on the other hand, appears to be selling about 9.5% above its predicted price using he same metrics. 

Studying the two dividend correlation charts suggests PepsiCo is clearly the better value. But, as I said last time, my dividend correlation model is looking only at historical data. The future is in the future for all stocks. So, let's take a swing at estimating the future growth of both companies. Remember, dividend growth alone trumps all other indicators for these two stocks, and in both cases the correlation between the companies' dividends and stock prices is over 90%.

 



In valuing Coke and Pepsi, I am using a simple linear regression model that measures the average changes of prices versus dividends for each company over the last 15 years, and then performs annual standard deviations to determine how tight the fit is. This model generates what is known as a correlation coefficient, or R2. Both Coke and Pepsi have R2s between annual price and dividend growth above .90. Put another way, annual changes in dividends for both companies has been able to explain over 90% of the annual changes in their stock prices. It's not perfect, but few investment professionals will be willing to bet you that this .90 correlation between prices and dividends is going to change very much in the coming year or years.  

A linear regression calculation, as the name implies, assumes that the movement of prices v. dividends will form a line. The important things about lines is they all have a slope and slopes have formulas. Thus, here in November 2024, if we have a good prediction or guess about how much each company will increase its dividends in 2025, (both have unbroken strings of increasing dividends for over 50 years) we can plug that figure into the formula and have a predicted stock price for the coming year.

PepsiCo's linear regression formula is .52+35x, where x is next year's dividend. PepsiCo's current indicated dividend is $5.42. For this analysis let's just increase PepsiCo's dividend by 7%, which is its average increase of the last five years. Here are the results of the formula:

.52+35 x 5.80 = $203.52

This simple regression model is projecting that PepsiCo's price will reach $203.52 by the end of 2025. That would be a rise in the price of over 20%. Remember, this is a model, not an analytical projection of what I think the price will be. But, with a correlation so high, one might think of it as a ballpark figure of the upside potential of PepsiCo.

Coke's dividend growth over the last five years has averaged only 3.5%. Plugging dividend growth of that level into the regression model for Coke gives us a 2025 best guess price of $67.25, only slightly above today's selling price. 

As always, this is not a Wall Street type deep dive type valuation analysis of either company, and it should not be taken as investment advice. This is just a mathematical look at financial data for both companies that has had a very high correlation over the last few years. Using this simple analysis, PepsiCo is our clear winner. 

Someone might want to break the news to Warren Buffett. He holds a tremendous amount of Coke.

Next time I will compare two other name-brand blue chip stocks in the tech industry sector. That will be a tougher challenge because dividends probably won't work as well in these companies, and I will have to dig deeper to determine is any of the companies' fundamental data have a tight correlation with prices. If there is a fit, it should also give us an idea of how fairly valued some of the techs are after their huge run over the last two years. 

Until next time.

If you would like to offer companies for me to value using this correlation process, please send me a note at info@gregdonaldson@gmail.com.

Thanks to several of you who informed me that my colors were wrong on the charts last time. 

I own Pepsico.


Wednesday, October 23, 2024

Using Simple Mathematical Calculations to Value Coke vs. PepsiCo

 1. In my recently released book, The Hidden Power of Rising Dividends, I described my 40-year journey into finding methods of valuing stocks.

2. My journey of valuation discovery was always about finding methods that worked, not just focusing on dividend investing, although for many companies, dividends are the best indicator.

3. Over the next few months, I am going to do a series of valuation comparisons of great companies of our country and the world. These comparisons will describe the various methods I have found to be helpful. The first two are Coke and Pepsi.

4. Coke and Pepsi are powerful brands that have won over our taste buds, grocery shelves, and portfolios. Most people are in one camp or the other, but these two companies are very similar in many ways. My blindfolded taste test can't tell them apart.

5. Since they are so dominant and so similar in their products and marketing, I have found that most people assume they are almost always efficiently priced and valued at about the same level. In this first look at the tools I have learned to use, a surprise may be in store for you.







 In valuing Coke and Pepsi, I am using a multi-stage correlation model. This model computes a correlation score, called R2, for eight different fundamental indicators for each company, such as earnings, dividends, sales, profit margin, GDP, etc., compared to changes in the company's annual stock prices. With both companies, the correlation, R2, between their annual dividends and stock prices is above 90%, and overrides the need to include any of the other fundamentals. Very simply, this means that over the last 15 years, the annual changes in the dividends for each company were able to explain 90% of the annual changes in its price. 

Next, look at each chart and note that stock prices are on the vertical axis and dividends per share are on the horizontal axis. The red line is the actual annual price over the last 15 years and the green line is the predicted price using the correlation formula. Here is where the model begins to talk. While these two companies are very similar in what they do, they are not similar in prospective valuation. PepsiCo's chart shows its current selling price of over $175.00 is well under its predicted price of $190.44. Coke's story is just the reverse. It is currently selling for over $68 per share, but its predicted price says it should sell for $63.74.

Remember, this analysis is pure math. It is not a deep analysis of each company's intrinsic value. This is just a statistically significant computation comparing the changes in each company's annual dividends with changes in their annual stock prices. Yet, with 90+% correlations for both companies, to ignore what the dividends are saying would be unwise. Indeed, these computations are saying Coke is over 15% more expensive than PepsiCo. A spread that wide would seem to favor PepsiCo at present. Next, however, we all know that the market always looks ahead. Next time I will share with you howe we can adjust the current valuations for a look into the future. In the meantime, let's just see how the the two stocks perform over the next few months.   

Thursday, August 08, 2024

Don't Fret, It's Picks and Shovels Time in the AI Gold Rush

  • Fears of a sharp economic slowdown, and worldwide heavy selling of stocks have hit U.S. stocks in recent weeks.
  • Recent economic releases have shown that unemployment is rising, home sales are slowing, manufacturing production is softening, and wage gains are flattening out. These weaker economic data points have caused fears of a recession and a move out of stocks and into bonds. 
  • This flight to safety has seen 10-year U.S. Treasuries to fall from near 4.75% a few months ago to 3.75% on Tuesday. The slowing economy fears have caused the S&P 500 to fall by nearly 10%. 
  • The sell off in stocks and specifically in the tech stocks is hard to reconcile in the face of the solid second quarter earnings growth reports across almost all industry sectors, from AI leaders to banks and industrial companies.
  • Does this big sell off mean the AI gold rush is already over? Moreover, does it mean the bull market in non-tech stocks, which was signaled in recent weeks, is also only a head fake?  

It is important to remember that gold rushes are driven by forces other than “there’s gold in them thar hills.”  At times, reality sneaks in to play a role in the pricing. The reality in this case is investors have become worried that the tech stocks have come too far too fast, and they no longer offer value at their inflated prices. There is nothing new about that worry. It’s very realistic and has been around as long as the tech stocks have been. The techs are trading at about 30-35 times earnings and projected to have earnings growth of 15-25% over the next 3-5 years. In an earlier post, I stated that if the current earnings projections for the techs and the S&P 500 prove correct for year-end 2024 and 2025, the market will go higher. My valuation model still says 5800 is the best guess of the current fair value of the S&P 500.


It is necessary to square the recent week economic news and sharp sell offs in worldwide stocksand interest rates with corporate earnings that are being reported every day. All these data

are being collected in the same time frame, and history tells us that earnings and dividend growth

have more predictive power in the long run than do changes in GDP and interest rates.


In my judgment, the billions of dollars that corporate America is investing in AI have not had nearly

enough time to find gold. We are in the “picks and shovels,” or early stages of the gold rush where

the miners are assembling the people and tools, and identifying where to mine. In short, nowthe big winners are the chip companies that manufacture the AI chips. The products

and services that will be forthcoming in the years ahead are still concepts. Yet, when giant sums

of capital are being placed in the hands and minds of the smartest tech people in the world,

life-changing products and services are assured.    


I believe an AI gold rush is underway. AI gold will be found and lead to huge stock gains in many existing, as well as start-up companies. My calling it a gold rush is not a total disparagement. The operative questions are: How much gold is there to be found, and who will find it? Almost certainly, too much money will ultimately join the gold rush, but it is far too early to declare AI dead. That being the case, the huge selloff in tech stocks is way overdone and offers a buying opportunity in the coming weeks and months.


Warren Buffett selling a huge chunk of Apple is probably the best news I have seen to assure us that AI has real merit. I am a great fan of Mr. Buffett, but he is anything but a gold rush player. He is strictly a “picks and shovels” guy. He did not sell out entirely. He just took some profits.   


In an earlier post, I said we are traversing a gold rush in AI, and almost all gold rushes end poorly for the average investor. However, for the recent sell off in AI and the stock market to be anywhere near correct, AI would have to be a complete bust. My bottom line is all gold rushes  are driven by periods of reality and illusion. AI has been called the driver of a new industrial revolution. That is big talk, but to say that AI is a bust is just as big an exaggeration.


Stay tuned.



Tuesday, June 18, 2024

It's Official: The AI Goldrush Is Underway

 

  1. Near the end of the dot-com bubble in 2000, my business partner and I stumbled onto the notion that the techs were acting much like a gold rush. Gold was being found in the dot-com world and creating riches, but its passion was producing ever more gold miners with golden dreams.

  2. Our company had traversed the dot-com craze during the late 1990s, chasing the gold like everyone else. But in early 2000, our valuation models simply could not justify the tech prices . .  . not by a mile.

  3. A simple truth spoke to us: Never in the history of the US stock markets had an industry grown fast enough, long enough, to justify the prices of most tech and big consumer stocks.

  4. We decided to cut back on the hottest of the highflyers. It changed our company and our lives forever.


This seemingly bold move was not based on something we were convinced we knew, but just the opposite. It was because we knew we did not know how to value the techs, and that being the case, we decided to stand aside. Even then, there was nothing bold about our decision to start cutting back on techs. In fact, we visited every client we had and admitted to them we believed the techs had reached the gold-rush state, but they might just keep going higher like they had over the last decade. The only thing we could say for sure was that our valuation models showed that many slower-growing companies were great values. We advised them we recommended placing sell orders 15% below the current prices on the six most overvalued tech stocks. Should any of these sell orders be triggered, we would invest the proceeds in undervalued dividend-paying stocks with dominant positions in their industries. 


During the year 2000, all six of the stocks' sell orders were triggered, and we bought financials, consumer staples, and industrial companies whose prices had gone flat in recent years because their sales and earnings were growing in the high single digits, much less than the 25-50% annual earnings growth of the techs. Interestingly, these undervalued dividend-paying stocks actually rose in 2000 when the overall market fell by over 10% and the dot-com gold rush ended. 


Why am I sharing this old tale? Am I predicting the AI gold rush is near its end? Indeed, are there other stocks that offer much better value with good prospects for future growth? No I’m not. I am announcing; however, that the gold rush in AI is now a reality and there are two truisms about gold rushes of the past. 1) When everyone, everywhere knows that an industry or a particular stock is the center of the investing universe, there is a good chance that everyone owns the stocks and the new money needed to push the stock higher will soon be tapped out. 2) The analysis at the end of gold rushes has always revealed that the companies that sold the picks and shovels for the miners were the best place to put your money, not in the gold miners themselves.


As one who is old enough to remember the dot-com collapse, my reason for writing this blog is to just give everyone a heads up that in my judgment, the AI phenomenon has officially reached the gold rush state. I said last time, my valuation models are showing that an S&P 500 level of 5700 is reasonable. If the AI world can produce overall sales and earning growth for corporate America of 11-12% over the next five years, the market is fairly priced. If earnings growth is higher than that, stocks still have a good run ahead of them. However, if the earnings growth falls back to a 7% or 8% handle, stocks will fall. Additionally, I do not see a long list of undervalued non-AI companies. Thus, I conclude the gold rush has room to run. I’ll keep you posted on what my models are saying as we go.


If you would like to communicate with me directly, email me at info@gregdonaldson.com  

Monday, May 27, 2024

Dividends and Earnings Say, The S&P's Current Price is About Right

The question I have been asked most in recent months is, "Is the current bull market in tech stocks signaling another dot-com massacre, or is it justified in light of the promise of AI?" 

1. Most of my questioners lived through the dot-com bubble of the 1990s and its subsequent crash in early 2000. In the late 1990s, the notion that computer and internet stocks could only go higher took hold, which proved dead wrong and devastating to many investors when some tech stocks fell by 90%. 

2. Nvidia and its artificial intelligence computer chips are skyrocketing in much the same way that Cisco and Intel did in the late 1990s, before crashing back to earth in 2000.

3. The Fed gives the impression that their rate hikes are finished, but inflation is still running near 3.5% and shows little signs of slowing on a month over month basis. 

3. If the Fed does not have inflation under control, a spike in long-term interest rates could cause another sell off in tech stocks just as it did in 2022. 

    One of the most disappointing aspects of modern day investing is we seem to have all become momentum investors. Find a winning stock, jump on board, and hope to sell out before it turns lower. Ben Graham's famous quote about how stocks operate is in full bloom today. He said, "In the short run, the market is a voting machine, but in the long run it is a weighing machine." The point being, stock prices can be driven to ridiculous levels by short-term projections of how high is the sky, but ultimately, stock prices find their correct value. 

    Over the years, I have developed two stock market valuation tools. One looks back and is primarly earnings driven. The other looks forward and is dividend and interest rate driven. Dividends would seem to be a very pedestrian way to value a gold rush, but over the years, I have found the growth of S&P 500 dividends in combination with changes in long-term interest rates have been the best risk-adjusted predictor of S&P 500 prices. At present, my dividend discount model predicts that the fair value of the S&P 500 is approximately 5800. At 5300, that would mean stocks are modestly undervalued. However, one has to realize that the forward dividends and earnings estimates are heavily influenced by Wall Street's 3-5 year forward estimates for tech stocks. 

    My answer to the questions I have been receiving about the risks in the markets is a familiar one: "It depends." It depends on whether the AI and other high-flying tech stocks can deliver the dividends and earning growth Wall Street is now projecting. If the overall S&P 500 can deliver numbers reasonably close to the current estimates, the market is modestly undervalued and vice versa. I'll keep you posted in the weeks and months ahead how the estimates are holding up and measuring up, as well report on how interest rates are impacting my model.