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size=5>Computational Finance</FONT></B></P>
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<DIV style="FONT-FAMILY: verdana,sans-serif; TEXT-ALIGN: center"><FONT
size=3>presented by: Dr. Mark Bennett </FONT></DIV>
<DIV style="FONT-FAMILY: verdana,sans-serif; TEXT-ALIGN: center"><PRE><FONT size=2><SPAN style="FONT-FAMILY: verdana,sans-serif">5:30 PM Buffet and Social Hour<BR>6:30 PM Presentation</SPAN><BR><BR></FONT><FONT style="FONT-FAMILY: verdana,sans-serif" size=2>Hosted by: Roosevelt University, downtown Chicago<BR>430 S. Michigan Ave, Chicago, IL 60605<BR>(nearest intersection: Congress and Michigan)<BR>Room 232</FONT><BR></PRE>
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align=center><FONT size=2>Cost (Includes Dinner & Program): Members: $10,
Non-members: $12, Students with ID: $5</FONT></P>
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align=center><A name=TOC-1></A></H1><FONT size=2><SPAN
style="FONT-FAMILY: verdana,sans-serif">At the macro level, the world financial
markets are experiencing market corrections based upon nearly a decade of
excessive debt. Price shocks in the oil and commodities markets are becoming the
norm as demand outstrips supply and speculation by traders increases the
volatility. At the micro level, how does an individual investor or professional
in the field keep focused on the fundamentals? Did the models account for this
market? What’s going to happen in the future? </SPAN><BR
style="FONT-FAMILY: verdana,sans-serif"><BR
style="FONT-FAMILY: verdana,sans-serif"><SPAN
style="FONT-FAMILY: verdana,sans-serif">As we might expect, we cannot predict
the future precisely. In retrospect, taking on less risk would have been
prudent. What are the tools and models of computational finance to help us
continue a disciplined approach going forward? </SPAN><BR
style="FONT-FAMILY: verdana,sans-serif"><BR
style="FONT-FAMILY: verdana,sans-serif"><SPAN
style="FONT-FAMILY: verdana,sans-serif">How do we use basic models to make
decisions about positions we might take in the markets? What are the key
parameters to estimate and how should they used to predict the potential future
outcomes? Just like in weather prediction, the quantitative models can become
quite complex, requiring the use of huge data sets, multiprocessors and
supercomputers. We start with some of the more basic models analysts use and
move to more complex ones which rely on stochastic differential
equations.<BR><BR></SPAN><FONT size=3><B
style="FONT-FAMILY: verdana,sans-serif">About the Speaker</B></FONT></FONT>
<FONT size=2><BR style="FONT-FAMILY: verdana,sans-serif"></FONT><BR><SPAN
style="FONT-FAMILY: verdana,sans-serif"><B>Dr. Mark Bennett</B> is a
Chicago-based computer scientist. He is employed at Rho Trading Securities.
Prior to that he was a quantitative risk analyst for Bank of America Securities.
He has managed aerospace technology projects for Northrop Grumman and worked for
AT&T Bell Labs prior to that. He holds a Ph.D. in computer science from
UCLA. </SPAN>
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<DIV style="TEXT-ALIGN: center"><FONT style="FONT-FAMILY: verdana,sans-serif"
size=2><B>Reservations:</B></FONT><BR><FONT
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form:</FONT><BR><A
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href="http://spreadsheets.google.com/viewform?key=p-UVle2DaAnl7yaoks-AtCQ">http://spreadsheets.google.com/viewform?key=p-UVle2DaAnl7yaoks-AtCQ</A><BR><FONT
style="FONT-FAMILY: verdana,sans-serif" size=2>or send an e-mail to <A
title="blocked::mailto:greg@neumarke.net?subject=Chicago Chapter ACM meeting reservation request"
href="mailto:greg@neumarke.net?subject=Chicago%20Chapter%20ACM%20meeting%20reservation%20request">greg@neumarke.net</A>
or call Greg at 773-907-3308</FONT> (work)<BR></DIV></DIV></BODY></HTML>