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Fulvio,
If I remember correctly, fisher kurtosis is a
complex math function method to see how much the sample has deviated from its
previous nth instance.
I have plotted the code posted by you, and I find
it giving no more additional information. In fact it is very
jagged.
In my humble opinion, a simple kurtosis like this
code:
Mov( Mov( Mo( 4) - Ref( Mo( 4), -1), 50, E), 10,
S)
should be more helpful.
DusantChief Architect<A
href="">http://www.candlestrength.com/
<BLOCKQUOTE dir=ltr
>
----- Original Message -----
<DIV
>From:
Fulvio
To: <A
title=equismetastock@xxxxxxxxxxxxxxx
href="">equismetastock@xxxxxxxxxxxxxxx
Sent: Saturday, May 22, 2004 4:00
PM
Subject: Re: [EquisMetaStock Group] Re:
skewness & kurtosis
I've solved in this way:
media:=Mov(C,5,S);
M4:=(Power(media-C,4)+Power(media-Ref(C,-1),4)+Power(media-Ref(C,-2),4)+Power(media-Ref(C,-3),4)+Power(media-Ref(C,-4),4))/5;
Fisherkurtosis:=M4/Power( Stdev(c,5),4)-3
But why <FONT
face=Arial>Sum(Power(media-C,4),5)/5 is
<> from
(Power(media-C,4)+Power(media-Ref(C,-1),4)+Power(media-Ref(C,-2),4)+Power(media-Ref(C,-3),4)+Power(media-Ref(C,-4),4))/5
???
Thanks,
Fulvio
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