<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: Throwing A Fit</title>
	<atom:link href="http://www.tasgall.com/2007/07/27/throwing-a-fit/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.tasgall.com/2007/07/27/throwing-a-fit/</link>
	<description>Peering into the Cauldron of the Gods...</description>
	<lastBuildDate>Wed, 28 Sep 2011 10:20:57 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.1</generator>
	<item>
		<title>By: Quicksilver</title>
		<link>http://www.tasgall.com/2007/07/27/throwing-a-fit/comment-page-1/#comment-386</link>
		<dc:creator>Quicksilver</dc:creator>
		<pubDate>Sun, 29 Jul 2007 00:25:45 +0000</pubDate>
		<guid isPermaLink="false">http://www.tasgall.com/2007/07/27/throwing-a-fit/#comment-386</guid>
		<description>I should add that I&#039;ve done these experiments not because I fully buy the approach laid out by Sornette but to play with a toy more than anything.

Sornette&#039;s approach has many problems, not the least of which is the difficulty of fitting a model, the selectivity of the models for different markets and the lack of detrending the data. He has also flopped on many predictions since his book has been published. He also says that it&#039;s got a high failure rate even if he is right. This makes it more of a novelty than anything and provides some interesting theory that may yet be useful in the vast science of the markets.</description>
		<content:encoded><![CDATA[<p>I should add that I&#8217;ve done these experiments not because I fully buy the approach laid out by Sornette but to play with a toy more than anything.</p>
<p>Sornette&#8217;s approach has many problems, not the least of which is the difficulty of fitting a model, the selectivity of the models for different markets and the lack of detrending the data. He has also flopped on many predictions since his book has been published. He also says that it&#8217;s got a high failure rate even if he is right. This makes it more of a novelty than anything and provides some interesting theory that may yet be useful in the vast science of the markets.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Quicksilver</title>
		<link>http://www.tasgall.com/2007/07/27/throwing-a-fit/comment-page-1/#comment-385</link>
		<dc:creator>Quicksilver</dc:creator>
		<pubDate>Sat, 28 Jul 2007 20:52:57 +0000</pubDate>
		<guid isPermaLink="false">http://www.tasgall.com/2007/07/27/throwing-a-fit/#comment-385</guid>
		<description>Yes, the focus of the examples in the book concerns 1928 and 1987. Also, discussed are the Nikkei anti-bubble, several emerging market crashes, currencies and the 1997 mini-crash.

What I need to do however is test my code on those crashes to make sure mine works as expected.</description>
		<content:encoded><![CDATA[<p>Yes, the focus of the examples in the book concerns 1928 and 1987. Also, discussed are the Nikkei anti-bubble, several emerging market crashes, currencies and the 1997 mini-crash.</p>
<p>What I need to do however is test my code on those crashes to make sure mine works as expected.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Jason G.</title>
		<link>http://www.tasgall.com/2007/07/27/throwing-a-fit/comment-page-1/#comment-384</link>
		<dc:creator>Jason G.</dc:creator>
		<pubDate>Sat, 28 Jul 2007 19:29:42 +0000</pubDate>
		<guid isPermaLink="false">http://www.tasgall.com/2007/07/27/throwing-a-fit/#comment-384</guid>
		<description>So, if you took the same code and ran it for the time period 1985 to 1987 before black Tuesday, would you see the model converge right before the crash?

Historical data is &lt;a href=&quot;http://finance.yahoo.com/q/hp?s=%5EGSPC&quot; rel=&quot;nofollow&quot;&gt;here&lt;/a&gt;, in case you don&#039;t have data going back that far and want to try it out.

I agree, today&#039;s market turmoil doesn&#039;t seem like it&#039;s the same as previous fragile moments.  I&#039;ll probably write a post to explain my perspective on current events...</description>
		<content:encoded><![CDATA[<p>So, if you took the same code and ran it for the time period 1985 to 1987 before black Tuesday, would you see the model converge right before the crash?</p>
<p>Historical data is <a href="http://finance.yahoo.com/q/hp?s=%5EGSPC" rel="nofollow">here</a>, in case you don&#8217;t have data going back that far and want to try it out.</p>
<p>I agree, today&#8217;s market turmoil doesn&#8217;t seem like it&#8217;s the same as previous fragile moments.  I&#8217;ll probably write a post to explain my perspective on current events&#8230;</p>
]]></content:encoded>
	</item>
</channel>
</rss>

