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Algorithmic complexity theory detects decreases in the relative efficiency of stock markets in the aftermath of the 2008 financial crisis

Cleiton Taufemback, Ricardo Giglio () and Sergio Da Silva
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Ricardo Giglio: Kiel University

Economics Bulletin, 2011, vol. 31, issue 2, 1631-1647

Abstract: The relative efficiency of financial markets can be evaluated using algorithmic complexity theory. Using this approach we detect decreases in efficiency rates of the major stocks listed on the Sao Paulo Stock Exchange in the aftermath of the 2008 financial crisis.

Keywords: market efficiency; stock markets; econophysics (search for similar items in EconPapers)
JEL-codes: C6 G1 (search for similar items in EconPapers)
Date: 2011-06-05
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Citations: View citations in EconPapers (2)

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