If by expectancy you mean something along the lines of average net 
profit/trade, then no.

By "the edge" I refer to underlying concepts (e.g., the shifting relationship 
of mean reversion vs. trend following with different asset classes/market 
regimes).   A system measurement (like expectancy) is only useful and important 
after all work of 
- capturing the truth, and 
- determining how/why it works and if it is continuing, and 
- under what circumstances would it be expected to continue and  
- translating this into a process/system edge (competitive advantage) in 
trading/management.

Regards,
Scott
--- In [email protected], Howard B <howardba...@...> wrote:
>
> Hi Scott --
> 
> If by "edge" you mean "expectancy", then it is well understood as being very
> important and often discussed in this forum.
> 
> Or do you have a different, and quantifiable, definition of "edge"?
> 
> Thanks,
> Howard
> 
> On Wed, Sep 8, 2010 at 9:48 AM, sdwcyberdude <scwalker1...@...> wrote:
> 
> >
> >
> > Good points.
> >
> > I strive to spend 90% of my focus on deriving and measuring the underlying
> > edge, why does it exist, when did it exist & does it still exist, how is it
> > captured + measured. Last 10% is spent on the system metrics, etc. The big
> > dog, "The Edge", seems not to be discussed very much by many people.
> >
> > Regards,
> > Scott
> >
> > --- In [email protected] <amibroker%40yahoogroups.com>, "tf28373"
> > <tomfid@> wrote:
> > >
> > > I strongly agree. This is the moment when Ulcer Performance Index steps
> > in - check this one out, since it is based on measuring risk in the terms of
> > drawdown regarding its duration. By the way thanks for your comments about
> > Omega - it seems that on the one hand AIRAP can add something positive into
> > system performance analysis, on the other - it has some drawbacks.
> > >
> > > Anyway my mind is still overoccupied by the idea of deriving the system
> > virtues and equity line features from simple mean - deviation analysis
> > (together with using such indicators like profit factor, power factor,
> > expectation). Have you ever ponder on this one?
> > >
> > > --- In [email protected] <amibroker%40yahoogroups.com>,
> > "sdwcyberdude" <scwalker1986@> wrote:
> > > >
> > > > Tomasz,
> > > >
> > > > I also use and see value in the Max DD, however, I believe it is should
> > only be a "secondary" measure.
> > > >
> > > > Think of a 10 year backtest. System X has 1 drawdown of 30% (max), and
> > many small drawdown never exceeding 5%. System Y has 1 drawdown of 25%
> > (max), and 10+ other drawdowns between 20 and 23%.
> > > >
> > > > Which system is more "stable"? I will invest risk capital in System X,
> > which has the higher max drawdown, but much fewer drawdowns of depth.
> > > >
> > > > I would love to have a measure of drawdown that more directly and
> > intuitively measures the depth and frequency of drawdowns per unit of time.
> > Correlation of the equity curve also gets at that point.
> > > >
> > > > Regarding the Omega, I am relying on a friend who studied both the
> > advanced math and models and uncover significant concerns with the Omega (I
> > seem to recall in was bias issues around skewness and kurtosis, but I might
> > be wrong), however it was unpublished work for hedge funds. He also
> > developed a proprietary alternative. Sorry I can't be more helpful on that
> > one.
> > > >
> > > > Kind Regards,
> > > > Scott
> > > >
> > > > --- In [email protected] <amibroker%40yahoogroups.com>,
> > "tf28373" <tomfid@> wrote:
> > > > >
> > > > > Hi Scott
> > > > >
> > > > > Thanks for response. I agree that the Sortino ratio is a kind of
> > solution to the typical Sharp ratio disadvantages (like penalization high
> > moments, which for me is irrational). Nevertheless, there is no max dd taken
> > into account, which confuses me a bit. However, I might be too devoted to
> > this risk measure (max dd) - what do you think? Is mean and its variance
> > better/sufficient values as far as the characteristics of equity line is
> > considered? (This is what brain123 was supporting in many discussions.)
> > > > >
> > > > > "One should be careful if it is built upon the Omega, which I believe
> > introduces other problems."
> > > > >
> > > > > That is an interesting point - can you elaborate a bit on this one?
> > In fact I was hoping to get this kind of information when starting this
> > thread as - frankly speaking - I don't feel familiar with plain maths enough
> > to analyse it...
> > > > >
> > > > > Looking forward to your response.
> > > > > Regards
> > > > > Tomasz
> > > > >
> > > > > --- In [email protected] <amibroker%40yahoogroups.com>,
> > "sdwcyberdude" <scwalker1986@> wrote:
> > > > > >
> > > > > > Tomasz,
> > > > > >
> > > > > > Thanks for raising this question (and for the good work you do).
> > > > > >
> > > > > > The Sortino Ratio is a well regarding improvement upon the Sharpe;
> > I urge you to consider adding the Sortino to the base metric array. Is there
> > a reason you passed on it earlier?
> > > > > >
> > > > > > The Sharpe ratio has a lot of problems and I was not familiar with
> > the AIRAP. One should be careful if it is built upon the Omega, which I
> > believe introduces other problems.
> > > > > >
> > > > > > Regards,
> > > > > > Scott
> > > > > >
> > > > > > --- In [email protected] <amibroker%40yahoogroups.com>,
> > "tf28373" <tomfid@> wrote:
> > > > > > >
> > > > > > >
> > > > > > > Hello everyone
> > > > > > >
> > > > > > > I have been working on the choose of fitness function following
> > the
> > > > > > > Howard Bundy's advices in his "Quantitative Trading Systems" and
> > come
> > > > > > > across M. Sharma's Alternative Investments Risk Adjusted
> > Performance
> > > > > > > (AIRAP).
> > > > > > >
> > > > > > > The equation of it is as following:
> > > > > > >
> > > > > > > AIRAP = [ E pi*(1+TRi)(1-c) ] 1/(1-c) - 1,
> > > > > > >
> > > > > > > where TRi - ith period total fund return (in my opinon it can
> > also be
> > > > > > > ith trade net return), c - risk aversion parameter (author
> > suggests to
> > > > > > > set its value to c=4), i=1,...,N - number of periods (as for me
> > it can
> > > > > > > be number of trades), pi - the probability of the ith period's
> > total
> > > > > > > return (according to the author it can be replaced with 1/N).
> > (For
> > > > > > > futher information please check this working paper:
> > > > > > > http://www.intelligenthedgefundinvesting.com/pubs/rb-ms01.pdf
> > > > > > > <http://www.intelligenthedgefundinvesting.com/pubs/rb-ms01.pdf>
> > .)
> > > > > > >
> > > > > > > M. Sharma argues that this measure captures all higher moments,
> > > > > > > penalizes for higher volatility and leverage (downside risk is
> > penalized
> > > > > > > more) and has all merits of Sharp ratio, though without its
> > limitations
> > > > > > > and disadvantages. I have carried out some simulations on the
> > artificial
> > > > > > > returns of different distributions and indeed it makes some
> > difference.
> > > > > > > Nevertheless what I am suspicious about is the fact that it was
> > the very
> > > > > > > first time I found this objective function even though it was
> > created by
> > > > > > > Sharma about 5 years ago. As for me it can mean that AIRAP is in
> > fact
> > > > > > > far from being effective or/and practical fitness measure at
> > least for
> > > > > > > trader like us and nobody use it (maybe I am wrong...). Another
> > issue
> > > > > > > that concerns me a bit is omission of MaxDrawDown in the
> > equation, which
> > > > > > > - at least for me - is a very important risk measure. According
> > to many
> > > > > > > experienced wise people writing on this forum (like ex Mr Bundy),
> > an
> > > > > > > effective fitness function shouls take Max DD or some comparable
> > risk
> > > > > > > measure into consideration in order to be really useful.
> > > > > > >
> > > > > > > What do you think about AIRAP? Should I proceed with utilizing
> > this
> > > > > > > function?
> > > > > > >
> > > > > > > I am looking forward to your response. Thank you in advance.
> > > > > > >
> > > > > > > Tomasz
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> >  
> >
>


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