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The Dow Theory: William Peter Hamilton's Track Record Re-Considered

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Author Info
Stephen J. Brown
William N. Goetzmann
Alok Kumar

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Abstract

Alfred Cowles' (1934) test of the Dow Theory apparently provided strong evidence against the ability of Wall Street's most famous chartist to forecast the stock market. In this paper we review Cowles' evidence and find that it supports the contrary conclusion - that the Dow Theory, as applied by its major practitioner, William Peter Hamilton over the period 1902 to 1929, yielded positive risk-adjusted returns. A re-analysis of the Hamilton editorials suggests that his timing strategies yield high Sharpe ratios and positive alphas. Neural net modeling to replicate Hamilton's market calls provides interesting insight into the nature and content of the Dow Theory. This allows us to examine the properties of the Dow Theory itself out-of-sample.

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Publisher Info
Paper provided by New York University, Leonard N. Stern School of Business- in its series New York University, Leonard N. Stern School Finance Department Working Paper Seires with number 98-013.

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Date of creation: 17 Feb 1998
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Handle: RePEc:fth:nystfi:98-013

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Postal: U.S.A.; New York University, Leonard N. Stern School of Business, Department of Economics . 44 West 4th Street. New York, New York 10012-1126
Web page: http://w4.stern.nyu.edu/finance/
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  1. Pu Shen, 2002. "Market timing strategies that worked," Research Working Paper RWP 02-01, Federal Reserve Bank of Kansas City. [Downloadable!]
  2. Thomas Schuster, 2003. "Fifty-Fifty. Stock Recommendations and Stock Prices. Effects and Benefits of Investment Advice in the Business Media," Finance 0303002, EconWPA. [Downloadable!]
  3. Enrico Zaninotto, 1997. "Comitati volontari e standard de-iure," Quaderni DISA 003, Department of Computer and Management Sciences, University of Trento, Italy.
  4. GIOT, Pierre & PETITJEAN, Mikael, 2006. "Short-term market timing using the Bond-Equity Yield Ratio," CORE Discussion Papers 2006090, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE). [Downloadable!]
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  5. GIOT, Pierre & PETITJEAN, Mikael, 2006. "International stock return predictability: statistical evidence and economic significance," CORE Discussion Papers 2006088, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE). [Downloadable!]
  6. Pereira, Robert, 1999. "Forecasting Ability But No Profitability: An Empirical Evaluation of Genetic Algorithm-optimised Technical Trading Rules," MPRA Paper 9055, University Library of Munich, Germany. [Downloadable!]
  7. Lunde, Asger & Timmermann, Allan G, 2003. "Duration Dependence in Stock Prices: An Analysis of Bull and Bear Markets," CEPR Discussion Papers 4104, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  8. Christopher J. Neely, 2001. "Risk-adjusted, ex ante, optimal technical trading rules in equity markets," Working Papers 1999-015, Federal Reserve Bank of St. Louis. [Downloadable!]
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  9. Alessandro Beber, 1999. "Il dibattito su dignità ed efficacia dell'analisi tecnica nell'economia finanziaria," Alea Tech Reports 003, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008. [Downloadable!]
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