Can “The Blue Chip Millionaires” turn every $10,000 into $1 million in just 36 months?

By Travis Johnson, Stock Gumshoe, July 29, 2015

I know, I know, I’m cynical — but yes, we can probably start out by responding to that headline question with a “probably not.”

But that doesn’t mean we don’t care what they’re talking about in this latest ad — this time, the pitch comes from Jimmy Mengel for his The Crow’s Nest letter — it just means that we’ll look at it dispassionately, without letting our emotions take over and dangle dreams of yachts and Ferraris (and a secure retirement, and college for the kids) out in front of us on a stick like a yak-herder with a carrot. No, you’re not going to turn $10,000 into a million dollars in three years unless you’re really good at poker (and lucky) — and certainly the idea that you can do so while only buying “blue chips” and just being smarter than everyone else is absurd.

So toss that ridiculous promise aside, think to yourself about whether this strategy might help you to get slightly better returns… or about whether you find the stocks that are being teased by Mr. Mengel interesting or worthy of further research. Let’s set the bar low and think for ourselves, shall we?

The basic spiel is a thinly-veiled pitch for doing market timing using some variation of what’s usually called the “Fed Model” … but let me pull a few little sections from the ad so you can get a sense for yourself:

“… we’ve all been conditioned to think safe companies can’t pay the same huge returns as smaller, riskier companies. Some people even call blue chip stocks ‘boring.’

“But as you’ll see over the next few minutes, that’s simply not true.

“In fact, everyday investors are already becoming ‘blue chip rich’ in as little as 36 months… no matter their current savings or investing pedigree.

“And it’s all thanks to a secret formula — one that takes ordinary blue chip stocks and boosts their profit potential by as much as 10 times.

“Here’s the thing (and this might surprise you)…

“This has nothing to do with…

  • Buying and holding for decades, compounding growth and dividends.
  • Chasing the next Microsoft or Apple, looking for that home-run winner.
  • Or using risky (and complicated) strategies like options or penny stocks.

“That’s because with the formula I’m about to reveal to you, none of these will work.

“It’s actually preferable to use blue chip companies”

So, this formula lets you make 10X as much profit from “blue chip” stocks? And you’re not using options or anything leveraged like that? Hmmmm.

Here’s a bit more…

“I’m talking about a mathematical approach to the stock market that’s nearly 42 years old.

“But despite being nearly half a century old, few people have ever heard about it.

“In short, it’s a way to pinpoint exactly when the market is peaking and exactly when it’s hit rock bottom.

“It gives you the chance to avoid the fundamental error so many traders make on a constant basis: poor timing. They trade with their hearts instead of their heads.

“When things are going well, few people think about selling. And on the flip side, when things are bad, most investors are scared to buy.

“But of course, it’s easy to say you need good timing — it’s another thing to actually have it.

“And that’s where the formula I’m telling you about today comes in.”

And he implies that this “formula” — despite its simplicity — is not being used by folks on the Street because your broker doesn’t want you to know about it…

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“See, even as some of the biggest firms on the Street are making money hand over fist thanks to this formula…

“They’ve told their clients to do the exact opposite.


“It’s simple: When you hold an investment over a long period, the fees accumulate for managing your money. So your broker gets absurdly rich… while you get slaughtered when the market drops.”

I don’t think that’s true. Brokers and investment managers have an inherent bias toward action, not advising “hold over a long period” — they earn commissions and/or justify their existence when you do something. Investment managers who manage portfolios for people don’t care whether you buy or sell on a given day, they earn their fixed percentage as a management fee and their only incentive is to grow the assets under management (either by getting new customers or by growing the size of their customers’ accounts, or preferably both), but brokers, who exist to sell stocks and process transactions, only get paid when you do something.

But anyway, what’s the big idea here?

The “formula” they’re touting is just basically the calculation of the risk-adjusted return of investments — you compare the earnings yield of stocks to the yield on long-term bonds, and the difference is the “risk premium” or the amount of money you’re “earning” by taking a chance on a non-guaranteed investment.

The basic comparison of the S&P earnings yield (the inverse of the PE ratio, so a PE of 25 would mean that stock is “earning” 4% on current equity) with the 10-year or 30-year government bond yield is common, and sometimes this is referred to as the “Fed Model” — though the Federal Reserve didn’t come up with it, and I have no idea whether their analysts and economists use this simplistic tool. The idea is, when stocks are cheap (the earnings yield is substantially better than the yield on Treasuries) you should buy stocks, and when stocks are expensive (the earnings yield is nearly as low as, or lower than, risk-free treasuries) you sell stocks.

There’s great argument about the utility of the “Fed Model” in general, and, indeed, quite a bit of debate about exactly which numbers you should be using (which bond yield, forward versus training S&P earnings, etc.) and what changes in this “risk premium” are meaningful (ie, do you buy when stocks yield two percentage points more than bonds? One point? Five points? Do you sell when that threshold is breached or when the lines cross on the chart?). There’s no real consensus, and few people are actually believers in the utility of the “Fed Model” as a strict timing indicator for buying and selling.

Which isn’t to say that it’s pointless — the basic idea that the model represents, the difference in the amount of return you get from taking a risk with stocks versus playing it safe (or so you think) with government bonds, is critical. Obviously, when government bonds yield 10% the stock market should have a high hurdle — if you can earn 10% without taking real risk, how much do you have to envision earning to make it worthwhile to take risks?

Unfortunately, most interpretations of the “Fed Model” that I’ve seen didn’t necessarily give clear signals for when it was best to get out of and (this is critical) get back in the market. If you look at various charts that show the S&P earnings yield versus the 10-year Treasury Note yield you can see that the last time Treasuries yielded more than the market was during the dot-com bubble, so they were giving a pretty significant “signal” that bonds were a better buy than stocks in 1999 and 2000, and then, after the crash, that stocks became a better buy in 2003 or so… but the moves since then for the crash of 2007-2009 and the various smaller moves are much less definitive — and for smaller moves that don’t come close to those 2001 or 2008 crashes, the model seems to offer no real help at all. Over the last year, the earnings yield and the 10-year yield have basically been moving in lockstep — both have moved lower, but the gap between them remains about the same (right now it’s about a 5.5% earnings yield from stocks, a 2% yield from the 10-year note).

What does this mean? I have no idea. Interest rates have been almost incomprehensible over the last seven years because of the massive global effort to drive down interest rates through stimulus and the flight of huge amounts of capital away from perceived currency and economic risk around the world and into the US dollar. And risk has maybe never been higher in bonds in our lifetimes than it is now, what with the continuing drive toward what appear to be unsustainable fiscal models in pretty much every government on the planet and the fact that the 30-year-old bull market in bonds (as interest rates have declined, almost without respite, since the early 1980s) is so old and tired that it makes our six-year bull market in stocks look like a little puppy.

The “Fed Model” seems to me to be a useful general tool for thinking broadly about whether the market seems cheap or expensive, and in retrospect it gave some good indications in 2000 and 2008-9, but it’s not necessarily a great short-term indicator in any given month and I have a hard time believing that anyone is trading in and out of stocks and bonds based primarily on the “Fed Model”… or that anyone doing so is going to miss all the bear markets and hit all the bull markets in the future.

But the rest of the pitch does make more logical sense — my understanding of what they’re saying is, “pick out a few blue chip stocks, and be ready to buy them if and when the market crashes again… which it might well do before too long.” People have turned blue in the face waiting for market crashes before, but having the mentality of a bargain hunter when crashes do come will generally serve you well. Here’s how they put it in the ad:

“Back in 1987, everyone thought things were rolling along great. Then Black Monday hit, and millions went bankrupt as they lost all they had.

“The same thing happened in 2000 and 2008. And it’s going to happen again at some point… probably sooner rather than later.

“But the crazy part is that these market crashes were actually good news for those investors who knew about the opportunity we recently uncovered…”

So… he goes on to say that it’s not the actual “Fed Model” that they’re following, it’s a variation that uses corporate bond yields instead of treasuries. Which doesn’t make much sense to me as a measure of relative risk, but does at least give numbers that are more likely to cross from time to time (the 10-year treasury yield has only crossed above the S&P Earnings yield a couple times in modern history), and he says this signal is infallible…

“If you compare the earnings yield to the rate of AAA corporate bonds, you get a deadly accurate marker for market tops and bottoms.

“That’s the signal used by Wall Street’s biggest hedge funds and banks.

“Unlike the Fed’s model — which has missed some big calls — this formula has hit the bull’s-eye for the last 80 years.

“In 1929, for instance, the corporate bond yield was almost 6%, while the earnings yield fell to 5%.

“This precipitated the greatest market crash of all time.

“Then, in 1932, at the Great Depression market bottom, the earnings yield skyrocketed to 11%, even as the corporate bond yield fell to under 3.5%.

“This HUGE buy signal could have handed you some of the biggest returns in financial history.

“That’s why most hedge fund analysts follow THIS version of the Fed’s model.”

Well, we can run that chart — look at the AAA corporate bond rate and the S&P 500 earnings yield and the S&P 500 returns, and this is what you get:


I dunno, that doesn’t look all that actionable to me, even in retrospect. I guess if you were going to buy and own stocks only when stocks had an earnings yield that was higher than AAA yields then you would have avoided losing money in the two largest crashes of the last few decades, but you would have only owned stocks for a couple years out of the last 20 — you didn’t own stocks in the 1990s or at all until about 2004, then you owned them until the yield crossed lower in 2007, when you sold, only to buy again in 2010, which you’re still holding and waiting for those lines to cross again — which they will before too long if the current trend continues (will it? Probably not, nothing is that simple).

And you know, maybe it’s a decent indicator that you’d want to consider for your asset allocation tweaks — but no one relies on just one indicator or puts all their trust in it, particularly when that indicator, at least on the most basic level, has only give three or four signals in 20 years. Is that a trend, or an anomaly? It’s reasonably logical, I suppose, but I don’t think that many mathematicians or statisticians would agree with you if you said that something that correlated with good returns even a half dozen times over 80 years is necessarily highly predictive. It’s a tool, a way of thinking about broad market valuation — and that’s about it.

If you want to think about what it means for sentiment, you might bring it down to individual examples — in the heart of the last crisis, from late 2008 to early 2010, you could choose to invest in Verizon either through their highly-rated bonds or through the stock. The stock had a dividend yield (not the “earnings yield”, but actual cash dividends) that was higher than the yield on the corporate bonds for much of that time period. I bought Verizon shares at the time, partly just because it seemed idiotic not to do so — that kind of anomaly shouldn’t exist unless people think the world is coming to an end. Usually, at times like that you’re too scared to act on logic like that — and I almost was, too — but being prepared for such eventualities is probably good for you.

So if you use the tool in that way, trying to use it to give yourself a sense of whether everyone is thinking that the world is ending and you might have the opportunity to buy something cheap as a result, well, more power to you.

Should we consider the stocks that Mengel thinks will be opportunities when the next crash hits and brings that earnings yield back to near or over the bond yield? well, let’s at least name ’em for you — here are the clues:

“2015 Market Crash Winner #1: 980% Potential Gains

“The first play I’m tracking now is a Fortune 150 company based out of Charlotte, North Carolina.

“It’s America’s second-largest steel producer, with a market cap of $14.4 billion.

“It grew its earnings by 50% last year. And it’s projected to double its earnings by 2016.

“That means it could hand you 140% gains for no reason at all.

“What’s more, this company has a proven track record of managing market swings.

“And that’s why this is a huge market rebound winner in my book.

“I’m talking about potential 1,000% gains easily.”

I don’t think I’ve ever seen a newsletter tease that said “buy the next time there’s a crash, then you’ll make huge gains” … but that seems to be what Mengel’s saying, and he’s looking at that next Fed interest rate decision in mid-September as the time when you want to start being ready.

But what his this first potential “Crash winner?”

Thinkolator sez this is Nucor Steel (NUE), which is actually now America’s largest steel producer (they overtook US Steel last year).

And yes, you would have saved some heartache if you had sold NUE in 2007, when the S&P 500 earnings yield dipped meaningfully below the AAA bond yield, and bought back in the Spring of 2010 when that situation reversed. It didn’t tell you much about how to nimbly get in and out of NUE’s other moves during those years, but it would have been better than just buying and holding NUE for the whole period.

Will that happen again? Man, I have no idea. Earnings estimates are for a forward earnings yield on the S&P of about 7%, so if those estimates are correct (they probably aren’t, but they’re better guesses than I have) then the AAA bond rate would have to stage a huge increase in order to trigger that particular signal, the AAA corporate rate hasn’t been that high since 2002. I don’t doubt that corporate bond yields will rise over time, but I doubt that they’ll rise that dramatically even if the Fed hikes rates — if I did think long-term rates were going to jump that high, that fast I’d certainly get out of all of my income-oriented investments, because REITs and MLPs and many high-dividend stocks will get clobbered if AAA bond yields go to 7% before the end of the year.

Another one?

“2015 Market Crash Winner #2: 1,000% Potential Gains

“My next play is a Columbus, Indiana-based engine maker with a $31 billion market cap.

“Founded in 1919, this Fortune 500 giant is a global leader in manufacturing diesel engines and power generation systems.

“Over the last five years, it’s enjoyed incredibly strong average earnings growth of 15%, mostly thanks to surging demand for its auto components throughout North America, Asia, and Europe. And it’s expected to outpace this growth over the next five years.

“That’s why an independent evaluation based on Warren Buffett’s buying criteria ranked this company a number one buy out of industrial stocks.

“What’s more, this firm has a proven track record of handing investors life-changing returns during market rallies.

“For instance, after the Tech Wreck of the early 2000s, this company skyrocketed for 1,120% gains.”

This one is, sez the Thinkolator, Cummins (CMI), the big diesel engine manufacturer. The stock bumped up a bit this week after a good earnings report. Certainly a good company, has been very cyclical in the past and is probably being held back a bit by soft growth overseas — it’s not terribly expensive right now, probably because of growth fears.


“2015 Market Crash Winner #3: 418% Potential Gains

“The next play on my radar is a Minneapolis-based bank founded in 1901.

“And although I doubt 99% of investors have ever heard of it, this is America’s fifth-largest bank with over $263 billion in deposits.

“However, unlike Bank of America or JP Morgan, it’s a regional lender. And it focuses mostly on the Midwest.

“This is one of the few banks that could have survived the 2008 crash without a bailout.

“It’s one of the ONLY banks that never posted losses during the crisis. Even as most banks lost their shirts, it remained profitable.

“That’s why, within two months of the market bottom, it soared for 132% gains.”

This one’s USB. It did not soar for 132% gains within two months of the market bottom in March 2009, not unless there was some crazy intraday trade well below the closing prices on those days, though it bounce back pretty fast — and did rise that much (perhaps a bit more) over the next year or so. A very solid bank, I happen to prefer PNC (PNC), the similar-sized super-regional bank, but that’s partly just because I can get nice cheap leverage on PNC using TAR