Photo Credit: eflon || The title of the article comes from a comment Greenberg supposedly made to Buffett when AIG was much bigger than Berkshire Hathaway — times change…

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The title of the article comes from a comment Greenberg supposedly made to Buffett when AIG was much bigger than Berkshire Hathaway [BRK] — times change…

It’s come to this: AIG has sought out reinsurance from BRK to cap the amount of losses they will pay for prior business written.  It’s quite a statement when you are willing to pay $10 billion in order to have BRK pay 80% of claims over $25 billion, up to $20 billion in total.  At $50 Billion in claims AIG is on its own again.

So what business was covered?  A lot.  This is the one of the biggest deals of its type, ever:

The agreement covers 80% of substantially all of AIG’s U.S. Commercial long-tail exposures for accident years 2015 and prior, which includes the largest part of AIG’s U.S. casualty exposures during that period. AIG will retain sole authority to handle and resolve claims, and NICO has various access, association and consultation rights.

Or as was said in the Wall Street Journal article:

The pact covers such product lines as workers’ compensation, directors’ and officers’ liability, professional indemnity, medical malpractice, commercial automobile and some other liability policies.

Now, AIG is not among the better P&C insurance companies for reserving out there.  2.5 years ago, they made the Aleph Blog Hall of Shame for P&C reserving.  Now if you would have looked on the last 10-K on page 296 for item 8, note 12, you would note that AIG’s reserving remained weak for 2014 and 2015 as losses and loss adjustment expenses incurred for the business of prior years continued positive.

For AIG, this puts a lot of its troubles behind it, after the upcoming writeoff (from the WSJ article):

AIG, one of the biggest sellers of insurance by volume to businesses around the globe, also said it expects a material fourth-quarter charge to boost its claims reserves. AIG declined to comment on the possible size. Its fourth-quarter earnings will be released next month.

For BRK, this is an opportunity to make money investing the $10 billion as claims on the long-tail business get paid out slowly.  It’s called float, which isn’t magic, but Buffett has done better than most at investing the float, and choosing insurance business to write and reinsure that doesn’t result in large losses for BRK.

I expect BRK to make an underwriting profit on this, but let’s assume the worst, that BRK pays out the full $20 billion.  Say the claims come at a rate of $5 billion/year.  The average payout period would be 7.5 years, and BRK would have to earn 9.2% on the float to break even.  At $3.75B/yr, the figures would be 10 years and 6.9%.  At $2.5B/yr, 15 years and 4.6%.

This doesn’t seem so bad to me — now I don’t know how bad reserve development will be for AIG, but BRK is usually pretty careful about underwriting this sort of thing. That said BRK has a lot of excess cash sitting around already, and desirable targets for large investments are few.  This had better make an underwriting profit, or a small loss, or maybe Buffett is ready for the market to fall apart, and thus the rate he can earn goes up.

All that said, it is an interesting chapter in the relationship between the two companies.  If BRK wasn’t the dominant insurance company of the US after the 2008 financial crisis, it definitely is now.

Full disclosure: long BRK/B for myself and clients

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I was driving to a meeting of the Baltimore CFA Society, and listening to Bloomberg Radio, which was carrying President-Elect Trump’s Press Conference. I didn’t think too much about what I heard until Sheri Dillon talk about what was being done to eliminate conflicts of interest. Here is an excerpt:

Some have asked questions. Why not divest? Why not just sell everything? Form of blind trust. And I’d like to turn to addressing some of those questions now.

Selling, first and foremost, would not eliminate possibilities of conflicts of interest. In fact, it would exacerbate them. The Trump brand is key to the value of the Trump Organization’s assets. If President-elect Trump sold his brand, he would be entitled to royalties for the use of it, and this would result in the trust retaining an interest in the brand without the ability to assure that it does not exploit the office of the presidency.

[snip]

Some people have suggested that the Trump — that President-elect Trump could bundle the assets and turn the Trump Organization into a public company. Anyone who has ever gone through this extraordinarily cumbersome and complicated process knows that it is a non-starter. It is not realistic and it would be inappropriate for the Trump Organization.

It went on from there, but I choked on the last paragraph that I quoted above. (Credit: New York Times, not all accounts carried the remarks of Ms. Dillon, a prominent attorney with the firm Morgan Lewis who structured the agreements for Trump)  As I said before:

An IPO of the Trump Organization was realistic.  I’m not saying it could have been done by the inauguration, but certainly by the end of 2017, and likely a lot earlier.  I’ve seen insurance companies go through IPO processes that took a matter of months, a few because they had to sell the company to raise liquidity quickly for some reason.

In an IPO, Trump, all of Trump’s children and anyone else with an equity interest would have gotten their proportionate share of the new public company.  Trump could have provided a lot of shares for the IPO, and instructed the trustee for his assets to sell it off the remainder over the next year or so.

While difficult, this would not have been impossible or imprudent.  Trump might lose some value in the process, but hey, that should be part of the cost for a very wealthy man who becomes President of the US.  There would be the countervailing advantage that all capital gains are eliminated, and who knows, that might settle his existing negotiations with the IRS.

Ending the counterfactual, though conflict of interest rules don’t apply to the President, Trump had an opportunity to eliminate all conflicts of interest, and did not take it.

PS — Many major hotels are in the “name licensing” business — I also don’t buy the argument that Trump could not sell off the organization in entire, with no future payments for the rights of using the name.  A bright businessman could create a new brand easily.  It’s been done before.

Photo Credit: D.C.Atty || Scrawled in 2008, AFTER the crash started

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Comments are always appreciated from readers, if they are polite.  Here’s a recent one from the piece Distrust Forecasts.

You made one statement that I don’t really understand. “Most forecasters only think about income statements. Most of the limits stem from balance sheets proving insufficient, or cash flows inverting, and staying that way for a while.”

What is the danger of balance sheets proving insufficient? Does that mean that the company doesn’t have enough cash to cover their ‘burn rate’?

Not having enough cash to cover the burn rate can be an example of this.  Let me back up a bit, and speak generally before focusing.

Whether economists, quantitative analysts, chartists or guys who pull numbers out of the air, most people do not consider balance sheets when making predictions.  (Counterexample: analysts at the ratings agencies.)  It is much easier to assume a world where there are no limits to borrowing.  Practical example #1 would be home owners and buyers during the last financial crisis, together with the banks, shadow banks, and government sponsored enterprises that financed them.

In economies that have significant private debts, growth is limited, because of higher default probabilities/severity, and less capability of borrowing more should defaults tarry.  Most firms don’t like issuing equity, except as a last resort, so restricted ability to borrow limits growth. High debt among consumers limits growth in another way — they have less borrowing capacity and many feel less comfortable borrowing anyway.

Figuring out when there is “too much debt” is a squishy concept at any level — household, company, government, economy, etc.  It’s not as if you get to a magic number and things go haywire.  People have a hard time dealing with the idea that as leverage rises, so does the probability of default and the severity of default should it happen.  You can get to really high amounts of leverage and things still hold together for a while — there may be extenuating circumstances allowing it to work longer — just as in other cases, a failure in one area triggers a lot more failures as lenders stop lending, and those with inadequate liquidity can refinance and then fail.

Three More Reasons to Distrust Predictions

1) Media Effects — the media does not get the best people on the tube — they get those that are the most entertaining.  This encourages extreme predictions.  The same applies to people who make predictions in books — those that make extreme predictions sell more books.  As an example, consider this post from Ben Carlson on Harry Dent.  Harry Dent hasn’t been right in a long time, but it doesn’t stop him from making more extreme predictions.

For more on why you should ignore the media, you can read this ancient article that I wrote for RealMoney in 2005, and updated in 2013.

2) Momentum Effects — this one is two-sided.  There are momentum effects in the market, so it’s not bogus to shade near term estimates based off of what has happened recently.  There are two problems though — the longer and more severe the rise or fall, the more you should start downplaying momentum, and increasingly think mean-reversion.  Don’t argue for a high returning year when valuations are stretched, and vice-versa for large market falls when valuations are compressed.

The second thing is kind of a media effect when you begin seeing articles like “Everyone Ought to be Rich,” etc.  “Dow 36,000”-type predictions come near the end of bull markets, just as “The Death of Equities’ comes at the end of Bear Markets.  The media always shows up late; retail shows up late; the nuttiest books show up late.  Occasionally it will fell like books and pundits are playing “Can you top this?” near the end of a cycle.

3) Spurious Math — Whether it is the geometry of charts or the statistical optimization of regression, it is easy to argue for trends persisting longer than they should.  We should always try to think beyond the math to the human processes that the math is describing.  What levels of valuation or indebtedness are implied?  Setting new records in either is always possible, but it is not the most likely occurrence.

With that, be skeptical of forecasts.

 

Photo Credit: New America || Could only drive through the rear-view mirror

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This is the time of year where lots of stray forecasts get given.  I got tired enough of it, that I had to turn off my favorite radio station, Bloomberg Radio, after hearing too many of them.  I recommend that you ignore forecasts, and even the average of them.  I’ll give you some reasons why:

  • Most forecasters don’t have a good method for generating their forecasts.  Most of them represent the present plus their long-term bullishness or bearishness.  They might be right in the long-run.  The long-run is easier to forecast, in my opinion, because a lot of noise cancels out.
  • Most forecasters have no serious money on the line regarding what they are forecasting.  Aside from loss of reputation, there is no real loss to being wrong.  Even the reputational loss issue is a weak one, because Wall Street generally has no memory.  Why?  Enough things get predicted that pundits can point to something that they got right, at least in some years.  Memories are short on Wall Street, anyway.
  • The few big players that make public forecasts have already bought in to their theses, and only have limited power to continue buying their ideas, particularly if they are wrong.  This is particularly true in hedge funds, and leveraged financial firms.
  • Forecasts are bad at turning points, and average forecasts by nature abhor turning points.  That’s when you would need a forecast the most, when conditions are going to change.  If a forecast presumes “sunny weather” on an ordinary basis it’s not much of a forecast.
  • Most forecasters only think about income statements.  Most of the limits stem from balance sheets proving insufficient, or cash flows inverting, and staying that way for a while.
  • Most forecasts also presume good responses from policymakers, and even when they are right, they tend to be slow.
  • Forecasts almost always presume stability of external systems that the system that holds the forecasted variable is only a part of.  Not that anyone is going to forecast a war between major powers (at present), or a cataclysm greater than the influenza epidemic of 1918 (1-2% of people die), but are users of a forecast going to wholeheartedly believe it, such that if a significant disaster does strike, they are totally bereft?  When is the last time we had a trade war or a payments crisis?  Globalization and the greater division of labor is wonderful, but what happens if it goes backward, or a major nation like France faces a scenario like the PIIGS did?

I leave aside the “surprises”-type documents, which are an interesting parlor game, but have their own excuses built-in.

My advice for you is simple.  Be ready for both bad and good times.  You can’t tell what is going to happen.  Valuations are stretched but not nuts, which justifies a neutral risk posture.  Keep dry powder for adverse situations.

And, from David at the Aleph Blog, have a happy 2017.

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Here’s the quick summary of what I will say: People and companies need liquidity.  Anything where payments need to be made needs liquidity.  Secondary markets will develop their own liquidity if it is needed.

Recently, I was at an annual meeting of a private company that I own shares in.  Toward the end of the meeting, one fellow who was kind of new to the firm asked what liquidity the shares had and how people valued them.  The board and management of the company wisely said little.  I gave a brief extemporaneous talk that said that most people who owned these shares know they are illiquid, and as such, they hold onto them, and enjoy the distributions.  I digressed a little and explained how one *might* put a value on the shares, but trading values really depended on who was more motivated — the buyer or the seller.

Now, there’s no need for that company to have a liquid market in its stock.  In general, if someone wants to sell, someone will buy — trades are very infrequent, say a handful per year.  But the holders know that, and most plan not to sell the shares, looking to other sources if they need money to spend — liquidity.

And in one sense, the shares generate their own flow of liquidity.  The distributions come quite regularly.  Which would you rather have?  A bucket of golden eggs, or the goose that lays them one at a time?

Now the company itself doesn’t need liquidity.  It generates its liquidity internally through profitable operations that don’t require much in the way of reinvestment in order to maintain its productive capacity.

Now, Buffett used to purchase only companies that were like this, because he wanted to reallocate the excess liquidity that the companies threw off to new investments.  But as time has gone along, he has purchased capital-intensive businesses like BNSF that require continued capital investment.  Quoting from a good post at Alpha Architect referencing Buffett’s recent annual meeting:

Question: …In your 1987 Letter to Shareholders, you commented on the kind of companies Berkshire would like to buy: those that required only small amounts of capital. You said, quote, “Because so little capital is required to run these businesses, they can grow while concurrently making all their earnings available for deployment in new opportunities.” Today the company has changed its strategy. It now invests in companies that need tons of capital expenditures, are over-regulated, and earn lower returns on equity capital. Why did this happen?

Warren Buffett…It’s one of the problems of prosperity. The ideal business is one that takes no capital, but yet grows, and there are a few businesses like that. And we own some…We’d love to find one that we can buy for $10 or $20 or $30 billion that was not capital intensive, and we may, but it’s harder. And that does hurt us, in terms of compounding earnings growth. Because obviously if you have a business that grows, and gives you a lot of money every year…[that] isn’t required in its growth, you get a double-barreled effect from the earnings growth that occurs internally without the use of capital and then you get the capital it produces to go and buy other businesses…[our] increasing capital [base] acts as an anchor on returns in many ways. And one of the ways is that it drives us into, just in terms of availability…into businesses that are much more capital intensive.

Emphasis that of Alpha Architect

Liquidity is meant to support the spending of corporations and people who need services and products to further their existence.  As such, intelligent entities plan for liquidity needs in advance.  A pension plan in decline allocates more to bonds so that the cash flow from the bonds will fund expected net payouts.  Well-run insurance companies and banks match expected cash flows at least for a few years.

Buffer funds are typically low-yielding assets of high quality and short duration — short maturity bonds, CDs, savings and bank deposits, etc.  Ordinary people and corporations need them to manage the economic bumps of life.  Expenses are up, and current income doesn’t exceed them.  Got cash?  It certainly helps to be able to draw on excess assets in a pinch.  Those who run a balance on their credit cards pay handsomely for the convenience.

In a crisis, who needs liquidity most?  Usually, it’s whoever is at the center of the crisis, but usually, those entities are too far gone to be helped.  More often, the helpable needy are the lenders to those at the center of the crisis, and woe betide us if no one will privately lend to them.  In that case, the financial system itself is in crisis, and then people end up lending to whoever is the lender of last resort.  In the last crisis, Treasury bonds rallied as a safe haven.

In that sense, liquidity is a ‘fraidy cat.  Marginal borrowers can’t get it when they need it most.  Liquidity typically flows to quality in a crisis.  Buffett bailed out only the highest quality companies in the last crisis. Not knowing how bad it would be, he was happy to hit singles, rather than risk it on home runs.

Who needs liquidity most now?  Hard to say.  At present in the US, liquidity is plentiful, and almost any person or firm can get a loan or equity finance if they want it.  Companies happily extend their balance sheets, buying back stock, paying dividends, and occasionally investing.  Often when liquidity is flush, the marginal bidder is a speculative entity.  As an example, perhaps some emerging market countries, companies and people would like additional offers of liquidity.

That’s a major difference between bull and bear markets — the quality of those that can easily get unsecured loans.  To me that is the leading reason why we are in the seventh or eighth inning of a bull market now, because almost any entity can get the loans they want at attractive levels.  Why isn’t it the ninth inning?  We’re not at “nuts” levels yet.  We may never get there though, which is why baseball analogies are sometimes lame.  Some event can disrupt the market when it is so high, and suddenly people and firms are no longer so willing to extend credit.

Ending the article here — be aware.  The time to take inventory of your assets and their financing needs is before the markets have an event.  I’ve just completed my review of my portfolio.  I sold two of the 35 companies that I hold and replaced them with more solid entities that still have good prospects.  I will sell two more in the new year for tax reasons.  My bond portfolio is high quality.  My clients and I are ready if liquidity gets worse.

Are you ready?

Photo Credit: darwin Bell || You ain't getting out easily...

Photo Credit: darwin Bell || You ain’t getting out easily…

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How would you like a really good model to make money as a money manager? You would? Great!

What I am going to describe is a competitive business, so you probably won’t grow like mad, but what money you do bring in the door, you will likely keep for some time, and earn significant fees.

This post is inspired by a piece written by Jason Zweig at the Wall Street Journal: The Trendiest Investment on Wall Street…That Nobody Knows About.  The article talks about interval funds.  Interval funds hold illiquid investments that would be difficult to sell at a fair price  quickly.  As such, liquidity is limited to quarterly or annual limits, and investors line up for distributions.  If you are the only one to ask for a distribution, you might get a lot paid out, perhaps even paid out in full.  If everyone asked for a part of the distribution, everyone would get paid their pro-rata share.

But there are other ways to capture assets, and as a result, fees.

  • Various types of business partnerships, including Private REITs, Real Estate Partnerships, etc.
  • Illiquid debts, such as structured notes
  • Variable, Indexed and Fixed Annuities with looong surrender charge periods.
  • Life insurance as an investment
  • Weird kinds of IRAs that you can only set up with a venturesome custodian
  • Odd mutual funds that limit withdrawals because they offer “guarantees” of a sort.
  • And more, but I am talking about those that get sold to or done by retail investors… institutional investors have even more chances to tie up their money for moderate, modest or negative incremental returns.
  • (One more aside, Closed end funds are a great way for managers to get a captive pool of assets, but individual investors at least get the ability to gain liquidity subject to the changing premium/discount versus NAV.)

My main point is short and simple.  Be wary of surrendering liquidity.  If you can’t clearly identify what you are gaining from giving up liquidity, don’t make the investment.  You are likely being hoodwinked.

It’s that simple.

If you can't clearly identify what you are gaining from giving up liquidity, don't make the… Click To Tweet

Ben Graham, who else?

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Well, I didn’t think I would do any more “Rules” posts, but here one is:

In markets, “what is true” works in the long run. “What people are growing to believe is true” works in the short run.

This is a more general variant of Ben Graham’s dictum:

“In the short run, the market is a voting machine but in the long run, it is a weighing machine.”

Not that I will ever surpass the elegance of Ben Graham, but I think there are aspects of my saying that work better.  Ben Graham lived in a time where capital was mostly physical, and he invested that way.  He found undervalued net assets and bought them, sometimes fighting to realize value, and sometimes waiting to realize value, while all of the while enjoying the arts as a bon vivant.  In one sense, Graham kept the peas and carrots of life on separate sides of the plate.  There is the tangible (a cheap set of assets, easily measured), and the intangible — artistic expression, whether in painting, music, acting, etc. (where values are not only relative, but contradictory — except perhaps for Keynes’ beauty contest).

Voting and weighing are discrete actions.  Neither has a lot of complexity on one level, though deciding who to vote for can have its challenges. (That said, that may be true in the US for 10% of the electorate.  Most of us act like we are party hacks. 😉 )

What drives asset prices?  New information?  Often, but new information is only part of it. It stems from changes in expectations.  Expectations change when:

  • Earnings get announced (or pre-announced)
  • Economic data gets released.
  • Important people like the President, Cabinet members, Fed governors, etc., give speeches.
  • Acts of God occur — earthquakes, hurricanes, wars, terrorist attacks, etc.
  • A pundit releases a report, whether that person is a short, a long-only manager, hedge fund manager, financial journalist, sell-side analyst, etc.  (I’ve even budged the market occasionally on some illiquid stocks…)
  • Asset prices move and some people mimic to intensify the move because they feel they are missing out.
  • Holdings reports get released.
  • New scientific discoveries are announced
  • Mergers or acquisitions or new issues are announced.
  • The solvency of a firm is questioned, or a firm of questionable solvency has an event.
  • And more… nowadays even a “tweet” can move the market

In the short run, it doesn’t matter whether the news is true.  What matters is that people believe it enough to act on it.  Their expectation change.  Now, that may not be enough to create a permanent move in the price — kind of like people buying stocks that Cramer says he likes on TV, and the Street shorts those stocks from the inflated levels.  (Street 1, Retail 0)

But if the news seems to have permanent validity, the price will adjust to a higher or lower level.  It will then take new data to move the price of the asset, and the dance of information and prices goes on and on.  Asset prices are always in an unstable equilibrium that takes account of the many views of what the world will be like over various time horizons.  They are more volatile than most theories would predict because people are not rational in the sense that economists posit — they do not think as much as imitate and extrapolate.

Read the news, whether on paper or the web — “XXX is dead,” “YYY is the future.”  Horrible overstatements most of the time — sure, certain products or industries may shrink or grow due to changes in technology or preferences, but with a few exceptions, a new temporary unstable equilibrium is reached which is larger or smaller than before.  (How many times has radio died?)

“Stocks rallied because the Fed cut interest rates.”

“Stocks rallied because the Fed tightened interest rates, showing a strong economy.”

“Stocks rallied just because this market wants to go up.”

“Stocks rallied and I can’t tell you why even though you are interviewing me live.”

Okay, the last one is fake — we have to give reasons after the fact of a market move, even anthropomorphizing the market, or we would feel uncomfortable.

We like our answers big and definite.  Often, those big, definite answers that seem right at 5PM will look ridiculous in hindsight — especially when considering what was said near turning points.  The tremendous growth that everyone expected to last forever is a farce.  The world did not end; every firm did not go bankrupt.

So, expectations matter a lot, and changes in expectations matter even more in the short-run, but who can lift up their head and look into the distance and say, “This is crazy.”  Even more, who can do that precisely at the turning points?

No one.

There are few if any people who can both look at the short-term information and the long-term information and use them both well.  Value investors are almost always early.  If they do it neglecting the margin of safety, they may not survive to make it to the long-run, where they would have been right.  Shorts predicting the end often develop a mindset that keeps them from seeing that things have stopped getting worse, and they stubbornly die in their bearishness.  Vice-versa, for bullish Pollyannas.

Financially, only two things matter — cash flows, the cost of financing cash flows, and how they change with time.  Amid the noise and news, we often forget that there are businesses going on, quietly meeting human needs in exchange for a profit.  The businessmen are frequently more rational than the markets, and attentive to the underlying business processes producing products and services that people value.

As with most things I write about, the basic ideas are easy, but they work out in hard ways.  We may not live long enough to see what was true or false in our market judgments.  There comes a time for everyone to hang up their spurs if they don’t die in the saddle.  Some of the most notable businessmen and market savants, who in their time were indispensable people, will eventually leave the playing field, leaving others to play the game, while they go to the grave.  Keynes, the great value investor that he was, said, “In the long run we are all dead.”  The truth remains — omnipresent and elusive, inscrutable and unchangeable like a giant cube of gold in a baseball infield.

As it was, Ben Graham left the game, but never left the theory of value investing.  Changes in expectations drive prices, and unless you are clever enough to divine the future, perhaps the best you can do is search for places where those expectations are too low, and tuck some of those assets away for a better day.  That better day may be slow in coming, but diversification and the margin of safety embedded in those assets there will help compensate for the lack of clairvoyance.

After all, in the end, the truth measures us.

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If I had to suggest two attitudinal adjustments for the average retail investor, I would encourage patience and a little courage.  Why these two?

Patience is needed for a wide variety of reasons.  There is almost never a need to act quickly.  If a few days matters to a decision, such that you feel that you have to act NOW, you’re probably playing the wrong game.  Of course don’t dawdle when you know what you need to do, but don’t let markets, relatives or salesmen push you around.

One example of that hit me recently when I realized that I had acquired 0.1% of the market cap of a microcap stock.  It rarely if ever trades, so it took three weeks to patiently source that many shares by waiting patiently on the bid price of the market.  The amount I have gotten already has exceeded my expectations, but I’m still bidding for more, quietly.

I’m usually pretty patient in trading, which means occasionally some trades won’t get done.  That’s okay, there are usually multiple opportunities, and alternative stocks to buy if you can’t get one of the stocks that you want at the price that you want.

Patience is also useful when the market is rising or falling quickly.  Many people will get tempted to greed or fear, but someone who is patient and has his emotions under control can wait and then make a more rational decision without concern.

Patience is also needed for just maintaining an asset allocation over a long time.  Remember, you don’t make money while you buy and sell, you make money while you wait.  For average investors, those that are patient do best.

That is why some courage is also needed.  Many investments will lose money for a time.  I would estimate that 2/3rds of the stocks that I currently hold have been at a unrealized capital loss for over a month of time at some point at minimum.  At present, almost all are at unrealized capital gains.  So much for the bull market.

There will be a lot of people who try to scare investors.  Some mean well; some don’t — they are just trying to sell you on their services.  A little courage pays here.  Remember that the investors that buy and hold almost always do better than traders — and this is true of all mutual funds including ETFs.

And now for something completely different

I wrote these three pieces at unpopular times:

If indeed you bought and held from February of 2009, you did quite well.  Even from March of 2012 you did well.

But what of now?  How will you do in the future if you buy-and-hold now?  I can tell you two things:

  • Better than most of those that trade, and
  • Likely not as well as in 2009 or 2012.  In 2009, we were staring at 16%+/yr returns over the next ten years, and people were scared to death.  In 2012, it was 8.5%/year for the next ten years.  Now it’s around 6%.

If you were to say to me, I don’t think 6%/yr is worth playing for, you would get an ambivalent answer from me.  I would tell you that I am staying in, but that you should do what you are comfortable doing, if you can avoid future panic and greed.

Though the rewards are likely lower now than previously, you still have a decent number of players that don’t believe the rally, and probably have not had a lot of exposure to the market for a while.  The psychology of most people lends itself toward self-justification.  If they have missed much of the rally, they are likely to pooh-pooh it now.  Only a rare person would switch now, though if you saw a lot of people switching to bull mode, then it would be time to worry, and maybe, lighten up.

Personally, I don’t see it, and together with my other studies, it leads me to hold on.  And guess what, that could be wrong, at least in the short-run.  But when you take into account the odds of making two correct timing trades — out now, in later, and the cost of the taxes on my taxable account, the incentives for reducing equity exposure now look poor.

Back to the Beginning

That’s why you need patience and some courage.  Those will steady you through the hard times.  Hard times will come, and I can’t tell you when.  If you want to sell a little now, go ahead, and leave it in a fund that is safe.  Then set up a googlebot to track both “buy-and-hold” and “dead.”  When you begin to get a lot of pings, invest the money again.

But for most of us, we will be best off maintaining a constant risk posture, because it is too hard to time the market, especially after taxes.  So, be patient and little courageous.

PS — I don’t say be a LOT courageous, because I’ve seen guys make significant errors taking large chances.  Remember, moderate risk wins in the end.

Idea Credit: Philosophical Economics Blog || I get implementation credit, which is less…

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My last post on this generated some good questions.  I’m going to answer them here, because this model deserves a better explanation.  Before I start, I should say that in order to understand the model, you need to read the first two articles in the series, which are here:

If you are curious about the model, the information is there.  It includes links to the main article at Economic Philosopher’s blog ( @jesselivermore on Twitter).

On to the questions:

Is this nominal or real return? Where can I find your original blog post explaining how you calculate future returns? Similar charts using Shiller PE, total market cap to gdp, q-ratio etc. all seem to imply much lower future returns.

This is a nominal return.  In my opinion, returns and inflation should be forecast separately, because they have little to do with each other.  Real interest rates have a large impact on equity prices, inflation has a small impact that varies by sector.

This model also forecasts returns for the next ten years.  If I had it do forecasts over shorter horizons, the forecasts would be lower, and less precise.  The lower precision comes from the greater ease of forecasting an average than a single year.  It would be lower because the model has successively less power in forecasting each successive year — and that should make sense, as the further you get away from the current data, the less impact the data have.  Once you get past year ten, other factors dominate that this model does not account for — factors reflecting the long-term productivity of capital.

I can’t fully explain why this model is giving higher return levels, but I can tell you how the models are different:

  • This model focuses in investor behavior — how much are investors investing in stocks versus everything else.  It doesn’t explicitly consider valuation.
  • The Shiller PE isn’t a well-thought-out model for many reasons.  16 years ago I wrote an email to Ken Fisher where I listed a dozen flaws, some small and some large.  That e-mail is lost, sadly.  That said, let me be as fair as I can be — it attempts to compare the S&P 500 to trailing 10-year average earnings.  SInce using a single year would be unsteady, the averaging is a way to compare a outdated smoothed income statement figure to the value of the index.  Think of it as price-to-smoothed-earnings.
  • Market Cap to GDP does a sort of mismatch, and makes the assumption that public firms are representative of all firms.  It also assumes that total payments to all factors are what matter for equities, rather than profits only.  Think of it as a mismatched price-to-sales ratio.
  • Q-ratio compares the market value of equities and debt to the book value of the same.  The original idea was to compare to replacement value, but book value is what is available.  The question is whether it would be cheaper to buy or build the corporations.  If it is cheaper to build, stocks are overvalued.  Vice-versa if they are cheaper to buy.  The grand challenge here is that book value may not represent replacement cost, and increasingly so because intellectual capital is an increasing part of the value of firms, and that is mostly not on the balance sheet.  Think of a glorified Economic Value to Book Capital ratio.

What are the return drivers for your model? Do you assume mean reversion in (a) multiples and (b) margins?

Again, this model does not explicitly consider valuations or profitability.  It is based off of the subjective judgments of people allocating their portfolios to equities or anything else.  Of course, when the underlying ratio is high, it implies that people are attributing high valuations to equities relative to other assets, and vice-versa.  But the estimate is implicit.

So…I’m wondering what the difference is between your algorithm for future returns and John Hussman’s algorithm for future returns. For history, up to the 10 year ago point, the two graphs look quite similar. However, for recent years within the 10-year span, the diverge quite substantially in absolute terms (although the shape of the “curves” look quite similar). It appears that John’s algorithm takes into account the rise in the market during the 2005-2008 timeframe, and yours does not (as you stated, all else remaining the same, the higher the market is at any given point, the lower the expected future returns that can be for an economy). That results in shifting your expected future returns up by around 5% per year compared to his! That leads to remarkably different conclusions for the future.

Perhaps you have another blog post explaining your prediction algorithm that I have not seen. John has explained (and defended) his algorithm extensively. In absence of some explanation of the differences, I think that John’s is more credible at this point. See virtually any of his weekly posts for his chart, but the most recent should be at http://www.hussmanfunds.com/wmc/wmc161212e.png (DJM: the article in question is here.)

I’d love to meet and talk with John Hussman.  I have met some members of his small staff, and he lives about six miles from my house.  (PS — Even more, I would like to meet @jesselivermore).  The Baltimore CFA Society asked him to come speak to us a number of times, but we have been turned down.

Now, I’m not fully cognizant of everything he has written on the topic, but the particular method he is using now was first published on 5/18/2015.  There is an article critiquing aspects of Dr. Hussman’s methods from Economic Philosopher.  You can read EP for yourself, but I gain one significant thing from reading this — this isn’t Hussman’s first model on the topic.  This means the current model has benefit of hindsight bias as he acted to modify the model to correct inadequacies.  We sometimes call it a specification search.  Try out a number of models and adjust until you get one that fits well.  This doesn’t mean his model is wrong, but that the odds of it forecasting well in the future are lower because each model adjustment effectively relies on less data as the model gets “tuned” to eliminate past inaccuracies.  Dr. Hussman has good reasons to adjust his models, because they have generally been too bearish, at least recently.

I don’t have much problem with his underlying theory, which looks like a modified version of Price-to-sales.  It should be more comparable to the market cap to GDP model.

This model, to the best of my knowledge, has not been tweaked.  It is still running on its first pass through the data.  As such, I would give it more credibility.

There is another reason I would give it more credibility.  You don’t have the same sort of tomfoolery going on now as was present during the dot-com bubble.  There are some speculative enterprises today, yes, but they don’t make up as much of the total market capitalization.

All that said, this model does not tell you that the market can’t fall in 2017.  It certainly could.  But what it does tell you versus valuations in 1999-2000 is that if we do get a bear market, it likely wouldn’t be as severe, and would likely come back faster.  This is not unique to this model, though.  This is true for all of the models mentioned in this article.

Stock returns are probabilistic and mean-reverting (in a healthy economy with no war on your home soil, etc.).  The returns for any given year are difficult to predict, and not tightly related to valuation, but the returns over a long period of time are easier to predict, and are affected by valuation more strongly.  Why?  The correction has to happen sometime, and the most likely year is next year when valuations are high, but the probability of it happening in the 2017 are maybe 30-40%, not 80-100%.

If you’ve read me for a long time, you will know I almost always lean bearish.  The objective is to become intelligent in the estimation of likely returns and odds.  This model is just one of ones that I use, but I think it is the best one that I have.  As such, if you look the model now, we should be Teddy Bears, not full-fledged Grizzlies.

That is my defense of the model for now.  I am open to new data and interpretations, so once again feel free to leave comments.

As such, if you look the model now, we should be Teddy Bears, not full-fledged Grizzly Bears. Click To Tweet

Idea Credit: Philosophical Economics Blog || I get implementation credit, which is less… 😉

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Are you ready to earn 6%/year until 9/30/2026?  The data from the Federal Reserve comes out with some delay.  If I had it instantly at the close of the third quarter, I would have said 6.37% — but with the run-up in prices since then, the returns decline to 6.01%/year.

That puts us in the 82nd percentile of valuations, which isn’t low, but isn’t the nosebleed levels last seen in the dot-com era.  There are many talking about how high valuations are, but investors have not responded in frenzy mode yet, where they overallocate stocks relative to bonds and other investments.

Think of it this way: as more people invest in equities, returns go up to those who owned previously, but go down for the new buyers.  The businesses themselves throw off a certain rate of return evaluated at replacement cost, but when the price paid is far above replacement cost the return drops considerably even as the cash flows from the businesses do not change at all.

For me to get to a level where I would hedge my returns, we would be talking about considerably higher levels where the market is discounting future returns of 3%/year — we don’t have that type of investor behavior yet.

One final note: sometimes I like to pick on the concept of Dow 36,000 because the authors didn’t get the concept of risk premia, or, margin of safety.  They assumed the market could be priced to no margin of safety, and with high growth.  That said, the model does offer a speculative prediction of Dow 36,000.  It just happens to come around the year 2030.

Until next time, when we will actually have some estimates of post-election behavior… happy investing and remember margin of safety.

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