Value Line: why mechanical systems stop working

Sam Eisenstadt of Value Line created a famous computer-driven stock ranking system that worked fabulously for about a quarter century.  Then it stopped working.  Why?

1.  Any economic system is dynamic, not static.  When an innovation happens, it spurs changes in all sorts of other systematic variables.  When a competitor introduces a new product into a market, rivals don’t simply watch their market share erode.  They launch new products themselves, ranging from simple knockoffs of the original innovation to genuinely new, but different, products of their own.

To the extent that “me too” products proliferate, the value/power of the initial innovation is eroded.  In the case of Value Line, post-ERISA, rival money managers poached Value Line IT people to create duplicate systems for themselves.  In fact, a number of very successful value-oriented money managers in the 1970s-1980s were driven, so far as I can see, almost exclusively by their VL ranking system knockoffs.

The fact that many professionals began to act on the system’s predictions–in large size and as soon as the predictions were made–began to blunt the effect of the system.  It tended to make subsequent outperformance smaller in degree and duration.

In short, the Value Line system changed the world  …and then the world began to catch up.

2.  The Value Line system is based on an extensive analysis of historical data.  That was okay when computing power was expensive and when (future-oriented) stock market derivatives were few and far between.   This was also before ERISA turned money management from a backwater into a gigantic business, that is, before brokerage houses and money managers built large staffs of securities analysts churning out predictions of future earnings.

The result of these changes was to reorient Wall Street away from historical earnings to studying–and buying and selling based on–future earnings estimates.  When the actual numbers came out, the market had already reacted.  Not always, but most of the time.

3.  The system has, in my view, a number of quirks, which I’ll just state without elaboration.

–It’s biased toward smaller stocks, which is one reason the VL system did so well in the 1970s.

–I think there’s a semi-permanent underclass of 5-ranked stocks, which makes the 1 vs. 5 comparison less relevant than, say, 1s vs. the S&P 500.

–The system is bad at turning points in the economy, activity either decelerates or accelerates sharply.  In today’s world, investors react to macroeconomic news far in advance of when corporate earnings reflect such changes.

–It works better in down markets, where investors cling closer to reported earnings, than in up.

could the VL system start to work again?

Maybe.  Sam Eisenstadt is a shrewd guy, after all.  Much of the Wall Street information gathering apparatus has been dismantled during Great Recession-induced cost cutting.  We’re unlikely, I think, to experience another decade of macroeconomic and stock market disruption on the scale of the past ten years (at least, I hope we won’t).  So conditions for a system like VL’s to work look to be better than they’ve been in a long time.

The biggest issue I can see is that computing power is no longer expensive.  Most of us could do something like what VL does on our home computers.  I doubt many of us are going to take the trouble, though.

Sam Eisenstadt and Value Line

About a week ago, the Wall Street Journal ran an article about the Value Line ranking system for stocks and its inventor, statistician Sam Eisenstadt.

I knew Sam in the late 1970s – early 1980s, during the heyday of Value Line.  At that time, the company was an incubator that launched the careers of a large number of successful investors.  The ranking system was also a formula for consistent outperformance.

Then the music began to stop.

What I find most interesting about the WSJ article is Sam’s belief that the Value Line ranking system will begin to work again.

how the VL ranking system works

The method, which was revolutionary when it was introduced in the middle of the last century, is taken straight out of a finance textbook.

It evaluates stocks by analyzing two main variables, cheapness and growth:

Cheapness is measured by taking the current price-earnings ratio for each stock and seeing where it stands relative to its PE over the prior ten years.  If the current PE is the lowest, the stock receives the highest score.  If the current PE is the highest, the stock gets the lowest score.

Growth is measured by taking the current per-share earnings growth rate and comparing it with the company’s earnings growth rate in each of the past ten years.  If the rate of growth is currently the highest, the stock gets the highest score.  If the growth rate is the currently the lowest, the stock gets the lowest score.

After scores for each stock are tallied, the totals are compared with those of all the other stocks in the VL universe of about 1,800 stocks–in the early days, this required a mainframe.  A couple of technical variables are mixed in.  The factors are weighted (this is the system’s secret sauce).  The end result is a ranking of the universe in order from 1 to 1,800.

The stocks are then grouped on a bell curve:

–the top 100 are ranked 1

–the next 300 are ranked 2

–the middle thousand are ranked 3

–the next 300 are ranked 4

–the bottom 100 are ranked 5.

Fresh rankings are published each week.

results

For over twenty years, the system worked like a charm.  1s consistently outperformed the market; 5s underperformed (in fact, academic research showed that 5s underperformed more deeply and for longer periods than 1s outperformed).  In most years, stocks performed precisely in line with their ranks.  That is, 1 outperformed 2s, which outperformed 3s, which outperformed 4s, which outperformed 5s.

Academics were flummoxed.  The system was statistically sound.  It used only publicly available historical data.  And yet, contrary to the “efficient markets hypothesis” (the academic assumption that, in simple terms, all publicly available information is immediately factored into stock prices), favorably ranked Value Line stocks outperformed as a group year after year after year.

Then, suddenly, the system didn’t work so well.  The WSJ article has a chart that shows the ten-year annualized performance of the VL 1s minus the performance of the 5s.  That outperformance figure peaks during the first half of the 1980s at a staggering 40% difference per year over the prior decade.  It then begins to fall pretty steadily through 2006, when the performance difference for the prior decade is close to zero.

(An aside:  one might question whether a 10-year time frame isn’t a bit too long or whether having the top 5% or so do better than the absolute bottom of the barrel is a high enough bar–but the author of the article, Mark Hulbert, didn’t go there and I won’t either.)

 

What happened?  Are the bad times over?  That’s for tomorrow’s post.