Footprints of Chaos in the
Markets
Analyzing non-linear time series in financial markets and other real systems
Richard M.A. Urbach
Description:
The ability to predict and
profit from the movements of the financial markets is a long sought-after goal.
But if price action is
considered to be the product of a random walk only unpredictable news can affect prices,
and it is therefore impossible to accurately predict market movement. This line of thought
has prompted the growth in passive investing and tracker funds.
Richard Urbach counters this
thinking by applying a new set of mathematical techniques to the financial markets,
arguing that it is possible to accurately analyze the time series (or 'footprints') of
chaotic real systems, map their underlying patterns, and predict future trends.
Many of the techniques of
dynamical systems analysis have previously been described only in the dispersed and
relatively inaccessible outputs of scientific research. There has been little practical
interpretation of non-linear dynamics and its application to financial markets.
Footprints of Chaos is the
first book to examine the opportunities presented by this new thinking, and is aimed
directly at the investment analysts who can benefit from it.
Reviews
"Richard Urbach's book
is essential reading for financial market participants, particularly risk management
professionals. Identifying and tracking the path of chaotic systems is central to our
ability to accurately forecast the evolution of asset prices. Richard Urbach provides us
with the tools to do so in his book"
Michael Cohn, Panther Capital
Management Limited, and member of Barons 500 Leaders for the 21st Century
"This comprehensively
researched and conscientiously written book is particularly strong in that it will appeal
to a broad spectrum of readers - from generalist fund managers to specialist financial
engineers"
David Schwartz, Consultant,
Norman Broadbent
The Author
Richard M.A. Urbach is a
leading US expert in the application of quantitative methods to investment banking and
trading. Now based in London, he has co-managed a Ł110m investment fund at Panther
Capital Management, and held senior positions at UBS Securities, Morgan Stanley and
Citibank. He has a PhD, in Mathematical Statistics and Operations Research, from Columbia
University, New York.