We grew up in the ‘hood.  The “hood” of academic circles.  Our formative years in money management were spent surrounded by brilliant academics, a few literally with Nobel Prizes, a few more PhDs, and a bunch of graduates from Wharton / Kellogg etc.  This should be a great start, you would say? It actually wasn’t.

Quoting Warren …
In retrospect, we all learned a bunch. What I would sarcastically say is that we learned what not to think.  In our defense, even Warren Buffett said at his 2009 annual shareholders meeting that if he taught a course on investing, the first thing he would do is unteach the “efficient market hypothesis”!

Cross-Check
The problem was we were building a new type of money management firm, based more on index-investing (since you could not outperform the index) rather than blindly allocating to managers. The problem with that approach was still that you needed an asset allocation approach to “beat the business cycle”. The “Chicago boys” thought this was a waste of time, markets were efficient, you could not outsmart them, etc.  This greatly upset the other half of us, who wanted eventually to run our own hedge funds and were insulted at this death knell to our future careers.

Our focus has always been on using quantitative techniques to identify when investment opportunities offer the most probable profit. Thus why we developed Covert Analytics. We were frustrated that some basic tools were not commercially available for portfolio managers, money managers, investment management firms, asset allocators, family offices, whatever label you want to give them.

Fast forward to Covert Analytics
Our platform is not a market timing software.  Our software is about identifying when forces are in place to propel asset markets further, or when valuations, monetary conditions, etc are so stretched that a price collapse is likely in the medium term.

What the Research Says
We realize how important the confidence our clients place in us is. Our entire premise is that asset allocation is the most important decision a money manager has to make. More important than security selection, more important than the aggregate effect of tactical trades, etc. Here are some studies we recently evaluated and their conclusion on market timing.

• The Clairvoyant Investor Not Much Better Off
  Sharpe (1975) imagined an investor who had two assets to choose from: US Stocks and Cash, and invested with perfect accuracy in the “higher returning asset” plus transaction costs.  The results were rather disappointing: Perfect Timing resulted in a 15.3% annual return versus 12.8% for Buy and Hold, an outperformance of 2.5% annually.  This did include however pretty high transaction costs.
• Missing the 10 Best? Invest in Cash
  Jeffrey (1984) did an analysis on comparing perfect accuracy with horrible accuracy, but the most interesting conclusion we thought was this: If the 10 best performing stock market years out of his study are missed, then the resulting return is equivalent to a cash return.
• Out for Best 7%, Return of 0%
  Chandy and Reichenstein (1993) came to a similar conclusion as Jeffrey: using monthly data since 1926, they concluded that if an investor missed the best 7% of monthly returns, then the remaining 93% of the months provide a 0% return.

Clearly market timing is  a tough task. We believe that with our approach, and a wide variety of assets, outperforming the market in a systematic way is achievable.  What this research proves is the following: forecasting bull markets is just as important (actually more important) than forecasting bear markets over the long run.