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Stock Return Predictability and the Adaptive Markets Hypothesis: Evidence from Century Long U.S. Data


Jae H. Kim


La Trobe University; Financial Research Network (FIRN)

Kian-Ping Lim


Monash University - Department of Econometrics & Business Statistics; Universiti Malaysia Sabah

Abul Shamsuddin


University of Newcastle

January 24, 2010

Finance and Corporate Governance Conference 2010 Paper

Abstract:     
We study return predictability of the Dow Jones Industrial Average indices from 1900 to 2009. We find strong evidence that time-varying return predictability is driven by changing market conditions, consistent with the implications of the adaptive markets hypothesis. During market crashes, no return predictability is observed, but an extreme degree of uncertainty is associated with return predictability. During fundamental economic or political crises, stock returns have been highly predictable with a moderate degree of uncertainty. During economic bubbles, return predictability and its uncertainty have been smaller than normal times.

Number of Pages in PDF File: 29

Keywords: Economic bubbles, Fundamental crises, Financial crises, Market

JEL Classification: G12, G14, G15

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Date posted: January 26, 2010  

Suggested Citation

Kim, Jae H., Lim, Kian-Ping and Shamsuddin, Abul, Stock Return Predictability and the Adaptive Markets Hypothesis: Evidence from Century Long U.S. Data (January 24, 2010). Finance and Corporate Governance Conference 2010 Paper. Available at SSRN: http://ssrn.com/abstract=1541639 or http://dx.doi.org/10.2139/ssrn.1541639

Contact Information

Jae H. Kim
La Trobe University ( email )
Department of Finance
La Trobe Business School
Bundoora, IN 3086
Australia
Financial Research Network (FIRN)
C/- University of Queensland Business School
St Lucia, 4071 Brisbane
Queensland
Australia
HOME PAGE: http://www.firn.org.au

Kian-Ping Lim
Monash University - Department of Econometrics & Business Statistics ( email )
Wellington Road
Clayton, Victoria 3168
Australia
Universiti Malaysia Sabah ( email )
P.O. Box 80594
Kota Kinabalu, Sabah 88999
Malaysia
Abul Shamsuddin (Contact Author)
University of Newcastle ( email )
Australia
Feedback to SSRN (Beta)


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