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Ben Branch, Cornelius Ryan (1980)
Tax Loss Trading: An Inefficiency Too Large to IgnoreThe Financial Review, 15
Edward Dyl (1977)
CAPITAL GAINS TAXATION AND YEAR‐END STOCK MARKET BEHAVIORJournal of Finance, 32
Mustafa Gultekin, N. Gultekin (1983)
Stock market seasonality: International EvidenceJournal of Financial Economics, 12
Dan Givoly, Arie Ovadia (1983)
Year‐End Tax‐Induced Sales and Stock Market SeasonalityJournal of Finance, 38
Ben Branch (1977)
A Tax Loss Trading RuleThe Journal of Business, 50
L. Asinof
With 1983 Ending Soon, It's Time for Investors to Come Up with Ways to Slash Their TaxesWall Street Journal
Stephen Brown, Jerold Warner (1980)
MEASURING SECURITY PRICE PERFORMANCEJournal of Financial Economics, 8
(1983)
Optimal Stock Trading with Personal Taxes: Implications for Prices and the Abnormal January Returns
P. Banzhaf (October 1, 1976)
Do Your Tax‐Loss Selling EarlyForbes
P. Brown, Donald Keim, A. Kleidon, Terry Marsh (1983)
Stock return seasonalities and the tax-loss selling hypothesis: analysis of the arguments and Australian evidence
Ángel Berges, John Mcconnell, Gary Schlarbaum (1984)
The Turn‐of‐the‐Year in CanadaJournal of Finance, 39
R. Roll (1983)
Vas Ist Das?, 9
Michael Rozeff, William Kinney (1976)
Capital market seasonality: The case of stock returnsJournal of Financial Economics, 3
S. Smidt (1968)
A New Look at the Random Walk HypothesisJournal of Financial and Quantitative Analysis, 3
The Financial R v e eiw prevents arbitragers from eliminating the pattern. Givoly and Ovadia [14] also found generally high January returns which seemed to be associated with tax selling in the preceding December. Moreover the effect was most pronounced among small firms. They speculated that âwindow dressingâ by institutional investors may account for at least part of the December declines. Constantinides [ 111 formulated a logical trading strategy for individual investors who are subject to the U.S. personal income tax system. According to his analysis, investors should seek to realize long-term gains in high variance stocks. They should use the proceeds to purchase other stocks some of which will generate losses. Such losses should be realized before they become long-term. Constantinidesâ theoretical work and simulations explain the January effect only if investors are irrational or ignorant of the marketâs seasonal pattern. Finally a series of studies have examined a number of other countriesâ stock markets and generally found seasonal price patterns there [3, 4, 7, 161. RELATION TO MARKET EFFICIENCY An efficient market clears at prices which accurately reflect the relevant available information. No one operating in such a market should consistently be able to earn returns
The Financial Review – Wiley
Published: Feb 1, 1985
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