You are not currently logged in.
Access your personal account or get JSTOR access through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Stock Market Returns and the Presidential Election Cycle: Implications for Market Efficiency
Fred C. Allvine and Daniel E. O'Neill
Financial Analysts Journal
Vol. 36, No. 5 (Sep. - Oct., 1980), pp. 49-56
Published by: CFA Institute
Stable URL: http://www.jstor.org/stable/4478384
Page Count: 8
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
A major shift in U.S. macroeconomic policy has occurred since 1960: The economy has been managed to expand prior to an election and contract thereafter. Over the 1961-78 period, stocks returned an average 21.7 per cent in the year beginning two years prior to a presidential election, 15 per cent in the year before the election, 3.6 per cent in the year immediately following and -15.2 per cent in the second year following. The odds strongly favor stock prices rising relative to trend over the two years prior to a presidential election. The authors tested a trading strategy that involved purchasing stock on the last trading day of October two years prior to the presidential election and selling at the close on the last trading day of October preceding the election. Whereas, over the 1960-78 period, a buy and hold strategy returned two per cent per year, the basic trading strategy returned 5.4 per cent per year. The finance literature asserts that price swings in the stock market are random, hence unpredictable and unexploitable. But many past tests of the efficient market hypothesis failed to test it against a powerful alternative. The four-year election cycle of stock prices provides just such an alternative. Except over the short periods (day, week or month) studied by academics, changes in stock prices are not random.
Financial Analysts Journal © 1980 CFA Institute