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Closing the question on the continuation of turn-of-the-month effects: evidence from the S&P 500 Index futures contract

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Author Info
Edwin D. Maberly
Daniel F. Waggoner

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Abstract

Prior research documents unusually high returns on the last trading day of the month and over the next three consecutive trading days. This phenomenon is known as the turn-of-the-month (TOTM) effect. According to Siegel (1998), why these anomalies occur is not well understood, and whether they will continue to be significant in the future is an open question. In this paper, we examine the S&P 500 futures contract for evidence that turn-of-the-month effects have continued. Transaction costs are low for index futures, and the absence of short-sale restrictions makes index futures an attractive venue for testing the continuation of market anomalies because of the low cost of arbitrage. We find that TOTM effects for S&P 500 futures disappear after 1990, and this result carries over to the S&P 500 spot market. We conjecture that a change in the preference of individual investors over time from making direct to making indirect stock purchases through mutual funds is related to the disappearance of the TOTM effect for more recent return data. In this paper, we argue that turn-of-the-month return patterns for both spot and futures prices are dynamic and related to market microstructure and therefore subject to change without notice. Financial economists should be careful when making out-of-sample inferences from observed in-sample return regularities.

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Paper provided by Federal Reserve Bank of Atlanta in its series Working Paper with number 2000-11.

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Date of creation: 2000
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Handle: RePEc:fip:fedawp:2000-11

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Keywords: Financial markets ; Futures;

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References listed on IDEAS
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  1. Allan Timmermann & Halbert White & Ryan Sullivan, 1998. "The Dangers of Data-Driven Inference: The Case of Calendar Effects in Stock Returns," FMG Discussion Papers dp304, Financial Markets Group. [Downloadable!] (restricted)
  2. Ryan Sullivan & Allan Timmermann & Halbert White, 1997. "Data-Snooping, Technical Trading Rule Performance, and the Bootstrap," University of California at San Diego, Economics Working Paper Series 97-31, Department of Economics, UC San Diego. [Downloadable!]
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  3. Ogden, Joseph P, 1990. " Turn-of-Month Evaluations of Liquid Profits and Stock Returns: A Common Explanation for the Monthly and January Effects," Journal of Finance, American Finance Association, vol. 45(4), pages 1259-72, September. [Downloadable!] (restricted)
  4. Ariel, Robert A., 1987. "A monthly effect in stock returns," Journal of Financial Economics, Elsevier, vol. 18(1), pages 161-174, March. [Downloadable!] (restricted)
  5. Ryan Sullivan & Allan Timmermann & Halbert White, 1998. "Dangers of Data-Driven Inference: The Case of Calendar Effects in Stock Returns," University of California at San Diego, Economics Working Paper Series 98-16, Department of Economics, UC San Diego. [Downloadable!]
    Other versions:
  6. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. " Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-64, December. [Downloadable!] (restricted)
    Other versions:
  7. Lakonishok, Josef & Maberly, Edwin, 1990. " The Weekend Effect: Trading Patterns of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 45(1), pages 231-43, March. [Downloadable!] (restricted)
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