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<SPAN
class=892425917-20012004>Mumbledee mumble correction below. -
Dave
<BLOCKQUOTE
>
<SPAN
class=482544217-20012004>I'd agree in principle with your last suspicion, but
not in degree.
<SPAN
class=482544217-20012004>
<SPAN
class=482544217-20012004>Yes, most historical data is missing the issues that
did so badly they got delisted, and that does constitute an inherent bias.
<SPAN
class=482544217-20012004>
<SPAN
class=482544217-20012004>But the N100 is more selective than that. Not
only <FONT color=#ff0000
size=4>DID they get not delisted, by
definition it contains stocks where the underlying company actually did
well enough to be one of "100 of the largest domestic and international
non-financial companies listed on The NASDAQ Stock Market based on market
capitalization", NOW, IN 2004.
<SPAN
class=482544217-20012004>
<SPAN
class=482544217-20012004>If you're testing in 1998, for example, pre-filtering
by whether the company achieved that status 6 years later is no way a neutral
sample. It's even less neutral than pre-filtering on whether it got delisted
within the next 6 years.
<SPAN
class=482544217-20012004>
<SPAN
class=482544217-20012004>Dave
<BLOCKQUOTE
>
<FONT face=Arial
color=navy size=2><SPAN
>It is a fail safe
check – does your system do well on segregated lists AND on current list,
then it is likely to be ok moving forward.
<SPAN
>If it does well on
current list but does not do well on segregated lists, then there is HIGH
RISK that it will disappoint moving forward.
<SPAN
>
<SPAN
>I suspect this will
be less true if one tests one’s entire universe vs specific lists like the
NDX100. However (I guess), the entire TC2000 database, or (especially)
the VectorVest database, is no better than the current NDX100, only the best
and non-delisted stocks still remain.<FONT face=Arial
color=navy size=2><SPAN
>.
<SPAN
>
<SPAN
>KenSend
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