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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