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Patterns in Three Centuries of Stock Market Prices

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  • Goetzmann, William Nelson

Abstract

This article applies autoregression and rescaled range statistics to very long stock market series to test the hypothesis that long-term temporal dependencies are present in financial data. For the annual capital appreciation returns to the London Stock Exchange, evidence of persistence in raw returns greater than five years and of mean reversion in deviations from rolling twenty-year averages is found. Similar patterns are observed for the New York Stock Exchange; however, they are not significant at traditional confidence levels. Copyright 1993 by University of Chicago Press.

Suggested Citation

  • Goetzmann, William Nelson, 1993. "Patterns in Three Centuries of Stock Market Prices," The Journal of Business, University of Chicago Press, vol. 66(2), pages 249-270, April.
  • Handle: RePEc:ucp:jnlbus:v:66:y:1993:i:2:p:249-70
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    Cited by:

    1. Thomas George & Chuan-Yang Hwang & Tavy Ronen, 2010. "Bootstrap refinements in tests of microstructure frictions," Review of Quantitative Finance and Accounting, Springer, vol. 35(1), pages 47-70, July.
    2. William N. Goetzmann & Dasol Kim, 2017. "Negative Bubbles: What Happens After a Crash," NBER Working Papers 23830, National Bureau of Economic Research, Inc.
    3. Benjamin Chabot & Eric Ghysels & Ravi Jagannathan, 2008. "Price Momentum In Stocks: Insights From Victorian Age Data," NBER Working Papers 14500, National Bureau of Economic Research, Inc.
    4. Morales-Pelagio, Ricardo Cristhian & López-Herrera, Francisco & Cabrera-Llanos, Agustín Ignacio, 2013. "Eficiencia de las principales acciones de la bolsa mexicana de valores: 2001-2012," eseconomía, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(37), pages 55-75, primer tr.
    5. Pierdzioch, Christian, 2004. "Feedback Trading and Predictability of Stock Returns in Germany, 1880?1913," Kiel Working Papers 1213, Kiel Institute for the World Economy (IfW).
    6. William N. Goetzmann & Philippe Jorion, 1997. "A Century of Global Stock Markets," NBER Working Papers 5901, National Bureau of Economic Research, Inc.
    7. Krämer, Walter & Sibbertsen, Philipp & Kleiber, Christian, 2001. "Long memory vs. structural change in financial time series," Technical Reports 2001,37, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    8. Earl A. Thompson & Jonathan Treussard & Charles R. Hickson, 2004. "Predicting Bubbles and Bubbles-Substitutes," UCLA Economics Working Papers 836, UCLA Department of Economics.
    9. Kohers, Theodor & Pandey, Vivek & Kohers, Gerald, 1997. "Using nonlinear dynamics to test for market efficiency among the major U.S. stock exchanges," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(2), pages 523-545.
    10. J. Annaert & W. Van Hyfte, 2006. "Long-Horizon Mean Reversion for the Brussels Stock Exchange: Evidence for the 19th Century," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/376, Ghent University, Faculty of Economics and Business Administration.
    11. Chabot, Benjamin & Ghysels, Eric & Jagannathan, Ravi, 2014. "Momentum Trading, Return Chasing and Predictable Crashes," Working Paper Series WP-2014-27, Federal Reserve Bank of Chicago.
    12. Giraitis, Liudas & Kokoszka, Piotr & Leipus, Remigijus & Teyssiere, Gilles, 2003. "Rescaled variance and related tests for long memory in volatility and levels," Journal of Econometrics, Elsevier, vol. 112(2), pages 265-294, February.
    13. Benjamin Chabot & Eric Ghysels & Ravi Jagannathan, 2009. "Momentum Cycles and Limits to Arbitrage Evidence from Victorian England and Post-Depression US Stock Markets," NBER Working Papers 15591, National Bureau of Economic Research, Inc.
    14. Thomas Lux, 2003. "The Multi-Fractal Model of Asset Returns:Its Estimation via GMM and Its Use for Volatility Forecasting," Computing in Economics and Finance 2003 14, Society for Computational Economics.
    15. Mitra, S.K. & Bawa, Jaslene, 2017. "Can trade opportunities and returns be generated in a trend persistent series? Evidence from global indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 124-135.
    16. Jacobsen, Ben, 1996. "Long term dependence in stock returns," Journal of Empirical Finance, Elsevier, vol. 3(4), pages 393-417, December.
    17. Goetzmann, William N. & Ibbotson, Roger G. & Peng, Liang, 2001. "A new historical database for the NYSE 1815 to 1925: Performance and predictability," Journal of Financial Markets, Elsevier, vol. 4(1), pages 1-32, January.
    18. Ari Levine & Yao Hua Ooi & Matthew Richardson, 2016. "Commodities for the Long Run," NBER Working Papers 22793, National Bureau of Economic Research, Inc.
    19. Goetzmann, Will & Le Bris, David & Pouget, Sébastien, 2017. "The Present Value Relation Over Six Centuries: The Case of the Bazacle Company," TSE Working Papers 17-794, Toulouse School of Economics (TSE).
    20. Lee, Chun I. & Pan, Ming-Shiun & Liu, Y. Angela, 2001. "On market efficiency of Asian foreign exchange rates: evidence from a joint variance ratio test and technical trading rules," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 11(2), pages 199-214, June.
    21. Mouck, T., 1998. "Capital markets research and real world complexity: The emerging challenge of chaos theory," Accounting, Organizations and Society, Elsevier, vol. 23(2), pages 189-203, February.
    22. Hiemstra, Craig & Jones, Jonathan D., 1997. "Another look at long memory in common stock returns," Journal of Empirical Finance, Elsevier, vol. 4(4), pages 373-401, December.
    23. Pan, Ming-Shiun & Liu, Y. Angela, 1999. "Fractional cointegration, long memory, and exchange rate dynamics," International Review of Economics & Finance, Elsevier, vol. 8(3), pages 305-316, September.

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