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[RT] Neural Net Input Variables Reply



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<DIV><FONT color=#000000 size=2>Hi Patrick,</FONT></DIV>
<DIV><FONT color=#000000 size=2></FONT>&nbsp;</DIV>
<DIV><FONT color=#000000 size=2>I tend to use several potential inputs for each 
model, but allowing a maximum of seven (7) per model.&nbsp; I've found that this 
reduces the risk of of model overtraining </FONT><FONT color=#000000 size=2>or 
generalization. - Brian</FONT></DIV></BODY></HTML>
</x-html>From ???@??? Sun Feb 06 15:11:32 2000
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From: gary@xxxxxxxxxxxx (Gary Funck)
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Date: Sun, 6 Feb 2000 15:07:51 -0800
In-Reply-To: "Brent" <brente@xxxxxxxxxxxx>
        "[RT] Re: FUTR: Effects of Low Prices and Burgeoning Hedge Fund Assets on CornFutures?" (Feb  6, 11:09am)
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Subject: [RT] Re: FUTR: Effects of Low Prices and Burgeoning Hedge Fund Assets on CornFutures?
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Status:   

On Feb 6, 11:09am, Brent wrote:
> Subject: [RT] Re: FUTR: Effects of Low Prices and Burgeoning Hedge Fund As
> I remember something called GHAAX that is supposed to be a commodity related
> fund or something. It's just a place to look because I know next to nothing
> about it. I'm sure that there must be other commodity based funds out there
> with all the thousands to chose from.

More info:
http://biz.yahoo.com/p/g/ghaax.html

    PX Van Eck Global Hard Assets Fund - Class A seeks
    long-term capital appreciation; income is secondary. The
    fund normally invests at least 65% of assets in hard-asset
    securities. These include equities of companies involved in
    exploring for, producing, or distributing any of the
    following: precious metals; ferrous and non ferrous metals;
    gas, petrochemicals, or other hydrocarbons; forest
    products; and real estate. It also invests in securities
    linked to the price of hard-asset commodities or commodity
    indexes. The fund is nondiversified.


 Returns (%) 
          3mo   1yr      3yr      5yr
                        avg      avg
 GHAAX   0.27   9.78    -6.22    8.52 
 S&P 500 4.25  16.37    23.64   26.60 
 --------------------------------------
  Diff. -3.98  -6.59   -29.86  -18.08