The Dow Theory: William Peter Hamilton's Track Record Reconsidered
AbstractAlfred Cowles' test of the Dow Theory apparently provides strong evidence against the ability of Wall Street's most famous chartist to forecast the stock market. Cowles (1934) analyzes editorials published by the chief exponent of the Dow Theory, William Peter Hamilton. We review Cowles' evidence and find that it supports the contrary conclusion. Hamilton's timing strategies actually yield high Sharpe ratios and positive alphas for the period 1902 to 1929. Neural net modeling to replicate Hamilton's market calls provides interesting insight into the Dow Theory and allows us to examine the properties of the theory itself out of sample. Copyright The American Finance Association 1998.
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Bibliographic InfoArticle provided by American Finance Association in its journal The Journal of Finance.
Volume (Year): 53 (1998)
Issue (Month): 4 (08)
Other versions of this item:
- Stephen Brown & William Goetzmann & Alok Kumar, 1998. "The Dow Theory: William Peter Hamilton's Track Record Re-Considered," Yale School of Management Working Papers ysm85, Yale School of Management, revised 01 Apr 2008.
- Stephen J. Brown & William N. Goetzmann & Alok Kumar, 1998. "The Dow Theory: William Peter Hamilton's Track Record Re-Considered," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-013, New York University, Leonard N. Stern School of Business-.
- Stephen J. Brown & William N. Goetzmann & Alok Kumar, 2004. "The Dow Theory: William Peter Hamilton's Track Record Re-considered," Yale School of Management Working Papers ysm30, Yale School of Management.
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
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