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Weekends can be rough: revisiting the weekend effect in stock prices

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  • Peter Fortune

Abstract

The performance of stock prices during breaks in trading has received considerable attention in recent years. While some studies focus on performance surrounding periods of unscheduled trading breaks (trading halts in individual stocks, circuit breakers for exchanges), other studies look at performance around periods of scheduled trading breaks (holidays, weekends). This paper fits into the second group. We revisit the \"weekend effect\" in common stock returns. Our focus is on two characteristics of differential returns over intraweek trading days and over weekends: the mean return, or \"drift\", and the standard deviation of returns, or \"volatility.\" ; We find that in the last 18 years the volatility over weekends has been stable, at about 10-20 percent greater for the three days from Friday's close to Monday's close than for a single intraweek trading day. However, while there was a large and statistically significant negative return over weekends prior to 1987, the post-1987 results indicate no weekend drift. In short, the negative weekend drift appears to have disappeared although weekends continue to have low volatility.

Suggested Citation

  • Peter Fortune, 1998. "Weekends can be rough: revisiting the weekend effect in stock prices," Working Papers 98-6, Federal Reserve Bank of Boston.
    • Handle: RePEc:fip:fedbwp:98-6
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    1. Johnson, Gordon & Schneeweis, Thomas, 1994. "Jump-Diffusion Processes in the Foreign Exchange Markets and the Release of Macroeconomic News," Computational Economics, Springer;Society for Computational Economics, vol. 7(4), pages 309-329.
    2. Rogalski, Richard J, 1984. "New Findings Regarding Day-of-the-Week Returns over Trading and Non-trading Periods: A Note," Journal of Finance, American Finance Association, vol. 39(5), pages 1603-1614, December.
    3. Merton, Robert C., 1976. "Option pricing when underlying stock returns are discontinuous," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 125-144.
    4. Harris, Lawrence, 1986. "A transaction data study of weekly and intradaily patterns in stock returns," Journal of Financial Economics, Elsevier, vol. 16(1), pages 99-117, May.
    5. Cox, John C. & Ross, Stephen A., 1976. "The valuation of options for alternative stochastic processes," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 145-166.
    6. Kim, Myung-Jig & Oh, Young-Ho & Brooks, Robert, 1994. "Are Jumps in Stock Returns Diversifiable? Evidence and Implications for Option Pricing," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(4), pages 609-631, December.
    7. Abraham, Abraham & Ikenberry, David L., 1994. "The Individual Investor and the Weekend Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(2), pages 263-277, June.
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    Cited by:

    1. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2010. "The Weekly Structure of US Stock Prices," CESifo Working Paper Series 3245, CESifo.
    2. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2019. "Rise and fall of calendar anomalies over a century," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 181-205.
    3. Cho, Young-Hyun & Linton, Oliver & Whang, Yoon-Jae, 2007. "Are there Monday effects in stock returns: A stochastic dominance approach," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 736-755, December.
    4. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2020. "Price gap anomaly in the US stock market: The whole story," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    5. Caporale, Guglielmo Maria & Plastun, Alex, 2019. "The day of the week effect in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 31(C).
    6. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Alex Plastun, 2016. "The weekend effect: an exploitable anomaly in the Ukrainian stock market?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(6), pages 954-965, November.
    7. Kunkel, Robert A. & Compton, William S. & Beyer, Scott, 2003. "The turn-of-the-month effect still lives: the international evidence," International Review of Financial Analysis, Elsevier, vol. 12(2), pages 207-221.
    8. Julijana Angelovska, 2013. "An Econometric Analysis of Market Anomaly - Day of the Week Effect on a Small Emerging Market," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 3(1), pages 314-322, January.
    9. G. J. Power & C. Turvey, 2011. "What explains long memory in futures price volatility?," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3395-3404.
    10. Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun & Inna Makarenko, 2014. "The Weekend Effect: A Trading Robot and Fractional Integration Analysis," Discussion Papers of DIW Berlin 1386, DIW Berlin, German Institute for Economic Research.
    11. Veronika NOVOTNA & Stanislav SKAPA & Milan KRAPEK, 2020. "The Existence Of The Day-Of-The-Week Effect," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 915-923, November.

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    Keywords

    Stock - Prices; Stocks; Stock market;
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