William Shaw News Release
- To: mathgroup at smc.vnet.net
- Subject: [mg8563] William Shaw News Release
- From: News Releases <press>
- Date: Sat, 6 Sep 1997 23:16:26 -0400
- Sender: owner-wri-mathgroup at wolfram.com
Significant Flaws Uncovered in Standard Securities Derivatives Models
Champaign, Illinois-September 3, 1997-Many securities transactions do not
involve the direct purchase of securities. Instead they consist of the
purchase or sale of financial derivatives, instruments such as futures
contracts (agreements to buy or sell an asset at a fixed price on a certain
future date) and options contracts (agreements giving the option to buy or
sell the asset). Derivatives trading has the power to make huge sums of
money, but ill-considered trading can lead to cataclysmic losses. In 1995,
for example, Britain's oldest merchant bank, Barings, collapsed as the
result of the transactions of a single "rogue" derivatives trader.
How do financial analysts determine the value of such a derivative? They
turn to mathematical models, some of them quite intricate and
sophisticated. Yet Dr. William Shaw, head of financial instrument modelling
in the Quantitative Analysis group of Nomura International, has determined
that many of the standard textbook models used to direct a substantial
fraction of the world's derivative transactions are flawed and do not
accurately reflect financial realities.
"The real story, " says Dr. Shaw, "is that derivative securities are
capable of exhibiting some diverse forms of mathematical pathology that
confound our intuition and play havoc with standard or even
state-of-the-art algorithms. "
His technique for unraveling these complexities relies heavily on the
symbolic algebra capabilities of Mathematica, the same sophisticated
technical computing system used by scientists and researchers worldwide to
perform higher mathematics. Mathematica is a product of Wolfram Research, Inc.
The benefits of using Mathematica are quickly apparent, says Dr. Shaw: "The
whole range of analytical exotics can be coded up quickly from the
fundamental research and used actively or in testing."
Dr. Shaw will present his findings and suggested remedies in a series of
presentations in Frankfurt, Germany, on September 22; in London on
September 24; and in New York on September 26.
An extensive discussion of his findings will also be given in the
forthcoming text, Modelling Financial Derivatives with Mathematica, to be
published by Cambridge University Press.
Nomura International Plc is the wholly owned European subsidiary of The
Nomura Securities Co., Ltd., one of the world's largest investment banks.
Its major activities in Europe include the origination, trading, and sales
of securities, research, principal securitization, and emerging markets
Wolfram Research is the world's leading developer of technical computing
software. The company was founded by Stephen Wolfram in 1987 and released
the first version of its flagship product, Mathematica, on June 23, 1988.
Mathematica, the world's only fully integrated technical computing system,
is relied on today by more than a million users world wide in industry,
government, and education. Mathematica 3.0.0 was released in the fall of
1996. Wolfram Research, Inc. is headquartered in Champaign, Illinois.
Dr. Shaw has been working for Nomura in London since 1992. He gained his BA
in mathematics from King's College, Cambridge University in 1980 and his D
Phil in Mathematical physics from Oxford University in 1984. He
subsequently held postdoctoral and teaching positions at Cambridge and MIT
before beginning a career as a consultant to government and industry on
diverse problems in applied mathematics.
He combines his career in mathematical finance with the teaching of applied
mathematics at Balliol College, Oxford, and is working on his second book
on the use of Mathematica. His first book, Applied Mathematica, was
published by Addison-Wesley in 1993. He has published over 30 papers on
topics ranging from asymptotically flat space-times, through string theory
and diffusion models, to applied electromagnetics and computer algebra.
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