In this review article, we explore several recent advances in the quantitative modeling of financial markets. We begin with the Efficient Markets Hypothesis and describe how this controversial idea has stimulated a number of new directions of research, some focusing on more elaborate mathematical models that are capable of rationalizing the empirical facts, others taking a completely different tack in rejecting rationality altogether. One of the most promising directions is to view financial markets from a biological perspective and, specifically, within an evolutionary framework in which markets, instruments, institutions, and investors interact and evolve dynamically according to the "law" of economic selection. Under this view, financial agents compete and adapt, but they do not necessarily do so in an optimal fashion. Evolutionary and ecological models of financial markets is truly a new frontier whose exploration has just begun.
Published in Proceedings of the National Academy of Science 96(1999) 9991-9992.
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Paper provided by Santa Fe Institute in its series Working Papers with number
99-06-039.
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Nicholas Chan & Mila Getmansky & Shane M. Haas & Andrew W. Lo, 2005.
"Systemic Risk and Hedge Funds,"
NBER Working Papers
11200, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
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Nicholas Chan & Mila Getmansky & Shane M. Haas & Andrew W. Lo, 2007.
"Systemic Risk and Hedge Funds,"
NBER Chapters,
in: The Risks of Financial Institutions, pages 235-338
National Bureau of Economic Research, Inc.
[Downloadable!]
Evstigneev, Igor V. & Hens, Thorsten & Schenk-Hoppé, Klaus Reiner, 2005.
"Globally Evolutionarily Stable Portfolio Rules,"
Discussion Papers
2005/17, Department of Finance and Management Science, Norwegian School of Economics and Business Administration.
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