Email from SuperTicker2 (
7/11/07 )
The Efficient
Frontier strategy as described in the
MatLab
Finance Toolbox probably provides
one of the best portfolio mixes for the buy-and-hold approach. This is
particularly true even in a down market if inverse funds are included in the
portfolio.
The neat thing about
buy-and-hold is that you're not "excessively"
realizing capital
gains, so you can keep more of your money invested--a nifty extra 15% plus
for long-term investing.
In contrast, the
Cruise Control Portfolio (CCP) is better for turning over your investments
(like in a Roth IRA where you don't have taxes on capital
gains eating at your investment income).
This begs the main
question, could one make the CCP approach work better than
the Efficient Frontier approach in the face of capital gain
taxes and short-term investing?
I would be very interested on a study about
that, but the CCP strategy needs to be better defined before such a study
can be made.
What's
CCP really optimizing (relative to risk, profit, etc.)
and over how long?
Also, if it's a parametric method, what kind of signal conditioning is
necessary (removing stochastic noise) prior to the analysis?
I still think you
should publish a journal article about CCP. If you don't
want to write it yourself (I realize you're retired), get a
colleague to co-author it with
you. :)
Love your website.
Happy MatLab'ing, (Superticker2)
******************************************************
Superticker2,
Enjoyed your comments and posted them on my web page.
Hope that was OK. About the CCP computations, I'm basically
unhappy with classical statistics as applied to stochastic
processes. So I have attempted to build my own optimization
process that has nothing to do with regression or
statistical processes or parameter estimation and filtering.
It really is a work in progress, but it seems to work.
The
question you pose about Efficient Frontier vs CCP is an
interesting one. I suspect it's possible for the CCP process
to produce better results than the Efficient Frontier
approach, but it would entail a very heavy trading
discipline that most investors could not or would not do.
Good Trading
Schippi