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Evaluating Predictions

Source: http://feedproxy.google.com/~r/typepad/WuQQ/~3/sKZATYebmyY/evaluating-predictions.html
Posted on Monday, October 5th, 2009 | In Investing Lessons, Market Commentary
Contributed by: Jeffrey Miller (http://www.oldprof.typepad.com) -

div xmlns=”http://www.w3.org/1999/xhtml”pRegular readers of “A Dash” know that we have a strong interest in predictions — those based upon models, but also others./p

pMany investment heroes made a prediction without a time frame.  Our guess is that many readers would be surprised at a comparison of results between these forecasters and those who took the opposite viewpoint.  But that is a subject for another day./p

pWe also like looking at sports predictions.  This takes the investor out of the normal environment.  In sports there are many more instances.  One gets into “the long run” more quickly./p

pBriefly put, analyzing predictions from sports helps us to think objectively about economic and investment forecasters./p

pstrongAn Interesting Example/strong/p

pIn a recent baseball game, meaningless in the overall standings, one of the announcers for Seattle made a very specific prediction.  Take a look at the video./p

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p/pobject allowfullscreen=”true” allownetworking=”all” allowscriptaccess=”always” data=”http://www.kaltura.com/index.php/kwidget/wid/_35168/uiconf_id/1002330″ height=”300″ id=”kp” name=”kp” type=”application/x-shockwave-flash” width=”400″param name=”wmode” value=”transparent”/paramparam name=”allowScriptAccess” value=”always”/paramparam name=”allowNetworking” value=”all”/paramparam name=”allowFullScreen” value=”true”/paramparam name=”bgcolor” value=”#000000″/paramparam name=”movie” value=”http://www.kaltura.com/index.php/kwidget/wid/_35168/uiconf_id/1002330″/paramparam name=”flashVars” value=”entryId=http://s3.amazonaws.com/lazyjock/115734.flvamp;autoplay=false”/param/objectdivpa href=”http://www.fandome.com” title=”Sports Videos, News, Blogs”img alt=”Sports Videos, News, Blogs” src=”http://www.fandome.com/img/poweredBy.png” style=”border: medium none ;”/img/a/ppThe initial reaction is — Wow!/ppstrongEvaluation/strong/ppThere are two very distinct ways of looking at this prediction.  The first is inspired by a href=”http://www.typepad.com/site/lists/6a00d83451ddb269e200e54fdee8f18834/item/6a00d83451ddb269e200e54fcbf18b8833/edit”Fooled by Randomness/a, a book highly recommended, and one that we sent to many clients./ppTaking this approach, we ask how many similar predictions are made each season.  Many broadcasting teams (all of them?) have a “pick to click” question.  The skeptical analysis would suggest that there were thousands of predictions, mostly inaccurate and ignored./ppIf a prediction works, then and only then does it get publicity.  We have no idea how many similar predictions never saw the light of day./ppOn the other hand, this particular prediction has a very high level of specificity.  The announcer predicted which at bat, what the count would be, that the pitch would be a fastball, that the hitter would connect for a home run, that it would be to left field, and that it would reach the second deck./ppThis is not just a run-of-the-mill pick to click./ppstrongInvestment Take/strong/ppWe are interested in comments on this example.  It seems dissimilar to most investing predictions because of the specificity./ppMost investment guru’s follow the key commandment:/pp style=”text-align: center;”emstrongDo not make a prediction that has both a target and a time frame!/strong/em/p/div/div
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About Jeffrey Miller (http://www.oldprof.typepad.com)
Jeffrey A. Miller, Ph.D. is a former college professor with a hands-on, real world attitude. His quantitative modeling helped inform state and local officials in Wisconsin for more than a decade. A Public Policy analyst, he taught advanced research methods at the University of Wisconsin, and analyzed many issues related to state tax policy.

In 1987 Jeff began work for market makers at the Chicago Board Options Exchange. His approach included finding anomalies in the standard option pricing models and developing new forecasting techniques. Merging these quantitative techniques with specific company analysis, Jeff also generated trading ideas from sell-side analyst reports.

Through his years of experience in trading options, futures and equities, Jeff has come to be regarded as an expert in interpreting the effect of news on the markets and individual stocks. Jeff has served as a forensic expert in several cases involving such issues. He has also written a series of papers on investment management, describing both quantitative methods and those related to behavioral economics.

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