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Market "Efficiency" in a Market with Heterogeneous Information

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  • Figlewski, Stephen C

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  • Figlewski, Stephen C, 1978. "Market "Efficiency" in a Market with Heterogeneous Information," Journal of Political Economy, University of Chicago Press, vol. 86(4), pages 581-597, August.
    • Handle: RePEc:ucp:jpolec:v:86:y:1978:i:4:p:581-97
    DOI: 10.1086/260700
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    Cited by:

    1. LeBaron, Blake, 2012. "Heterogeneous gain learning and the dynamics of asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 424-445.
    2. Rausser, Gordon C. & Just, Richard E., 1979. "Agricultural commodity price forecasting accuracy: futures markets versus commercial econometric models," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6k44c5zv, Department of Agricultural & Resource Economics, UC Berkeley.
    3. Benos, Alexandros V., 1998. "Aggressiveness and survival of overconfident traders," Journal of Financial Markets, Elsevier, vol. 1(3-4), pages 353-383, September.
    4. Leonid Kogan & Stephen A. Ross & Jiang Wang & Mark M. Westerfield, 2006. "The Price Impact and Survival of Irrational Traders," Journal of Finance, American Finance Association, vol. 61(1), pages 195-229, February.
    5. Ma, T. & Fraser-Mackenzie, P.A.F. & Sung, M. & Kansara, A.P. & Johnson, J.E.V., 2022. "Are the least successful traders those most likely to exit the market? A survival analysis contribution to the efficient market debate," European Journal of Operational Research, Elsevier, vol. 299(1), pages 330-345.
    6. Stephanie-Carolin Grosche, 2014. "What Does Granger Causality Prove? A Critical Examination of the Interpretation of Granger Causality Results on Price Effects of Index Trading in Agricultural Commodity Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 279-302, June.
    7. Ackert, Lucy F. & Church, Bryan K. & Zhang, Ping, 2002. "Market behavior in the presence of divergent and imperfect private information: experimental evidence from Canada, China, and the United States," Journal of Economic Behavior & Organization, Elsevier, vol. 47(4), pages 435-450, April.
    8. Hirshleifer, David & Luo, Guo Ying, 2001. "On the survival of overconfident traders in a competitive securities market," Journal of Financial Markets, Elsevier, vol. 4(1), pages 73-84, January.
    9. Marcello Galeotti & Franco Gori, 1993. "Multiple patterns in the dynamics of a stock market model," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 16(2), pages 39-58, September.
    10. Bin-Tzong Chie & Chih-Hwa Yang, 2021. "Efficiency of the Experimental Prediction Market: Public Information, Belief Evolution, and Personality Traits," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(4), pages 1-3.
    11. Ackert, Lucy F. & Church, Bryan K. & Zhang, Ping, 2004. "Asset prices and informed traders' abilities: Evidence from experimental asset markets," Accounting, Organizations and Society, Elsevier, vol. 29(7), pages 609-626, October.
    12. Kamal, Mona, 2014. "Studying the Validity of the Efficient Market Hypothesis (EMH) in the Egyptian Exchange (EGX) after the 25th of January Revolution," MPRA Paper 54708, University Library of Munich, Germany.
    13. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    14. Witte, Björn-Christopher, 2013. "Fundamental traders' ‘tragedy of the commons’: Information costs and other determinants for the survival of experts and noise traders in financial markets," Economic Modelling, Elsevier, vol. 32(C), pages 377-385.
    15. Wen-Chung Guo & Sy-Ming Guu & Ting-Yun Chang, 2011. "Equilibrium Information Acquisition, Prediction Abilities and Asset Prices," Computational Economics, Springer;Society for Computational Economics, vol. 37(1), pages 89-111, January.
    16. Ichkitidze, Yuri, 2018. "Temporary price trends in the stock market with rational agents," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 103-117.
    17. Hélène Tordjman, 1997. "Spéculation, hétérogénéité des agents et apprentissage : un modèle de "marché des changes artificiel"," Revue Économique, Programme National Persée, vol. 48(4), pages 869-897.
    18. Carl Bonham & Richard Cohen & Shigeyuki Abe, 2006. "The Rationality and Heterogeneity of Survey Forecasts of the Yen-Dollar Exchange Rate: A Reexamination," Working Papers 200611, University of Hawaii at Manoa, Department of Economics.
    19. Richard M. Levich, 1979. "Analyzing the Accuracy of Foreign Exchange Advisory Services: Theory AndEvidence," NBER Working Papers 0336, National Bureau of Economic Research, Inc.
    20. Jeffrey A. Frankel & Kenneth A. Froot, 1986. "The Dollar as Speculative Bubble: A Tale of Fundamentalists and Chartists," NBER Working Papers 1854, National Bureau of Economic Research, Inc.
    21. Tripathi, Abhinava & Pandey, Ashish, 2021. "Information dissemination across global markets during the spread of COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 103-115.
    22. Grosche, Stephanie, 2012. "Limitations of Granger Causality Analysis to assess the price effects from the financialization of agricultural commodity markets under bounded rationality," Discussion Papers 121868, University of Bonn, Institute for Food and Resource Economics.
    23. Just, Richard E. & Rausser, Gordon C., 1979. "Econometric model and futures markets commodity price forecasting," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8673v745, Department of Agricultural & Resource Economics, UC Berkeley.

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