IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/117001.html
   My bibliography  Save this paper

Is the research agenda for calendar anomalies “much do about nothing”?

Author

Listed:
  • Sproule, Robert
  • Gosselin, Gabriel

Abstract

Calendar anomalies are a class of financial market phenomena which links periodic, time-specific dummy variables and variations in the market price of an asset. Prior studies which report a calendar anomaly are seen by some as refutations of the efficient market hypothesis. In this paper, we estimate, test for the presence of, and find no evidence of, the day-the-week effects in the S&P 500, 2013-2023. That is, in this paper, we show that the daily-dummy variables (both individually and collectively) are independent of the S&P 500. This finding supports those who have argued that the day�the-week effects, and (by extension) all calendar anomalies, are “chimera delivered by intensive data mining” or, quite simply, such anomalies are “much ado about nothing.”

Suggested Citation

  • Sproule, Robert & Gosselin, Gabriel, 2023. "Is the research agenda for calendar anomalies “much do about nothing”?," MPRA Paper 117001, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:117001
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/117001/2/MPRA_paper_117001.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sullivan, Ryan & Timmermann, Allan & White, Halbert, 2001. "Dangers of data mining: The case of calendar effects in stock returns," Journal of Econometrics, Elsevier, vol. 105(1), pages 249-286, November.
    2. D. Ventosa-Santaulària, 2009. "Spurious Regression," Journal of Probability and Statistics, Hindawi, vol. 2009, pages 1-27, August.
    3. Kennedy, Peter E, 2002. "Sinning in the Basement: What Are the Rules? The Ten Commandments of Applied Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 16(4), pages 569-589, September.
    4. McAleer, Michael & Pagan, Adrian R & Volker, Paul A, 1985. "What Will Take the Con out of Econometrics?," American Economic Review, American Economic Association, vol. 75(3), pages 293-307, June.
    5. Robins, Russell P. & Smith, Geoffrey Peter, 2016. "No More Weekend Effect," Critical Finance Review, now publishers, vol. 5(2), pages 417-424, December.
    6. Connolly, Robert A., 1989. "An Examination of the Robustness of the Weekend Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(2), pages 133-169, June.
    7. Agrawal, Anup & Tandon, Kishore, 1994. "Anomalies or illusions? Evidence from stock markets in eighteen countries," Journal of International Money and Finance, Elsevier, vol. 13(1), pages 83-106, February.
    8. Aldrich, J., 1995. "Correlations genuine and spurious in Pearson and Yule," Discussion Paper Series In Economics And Econometrics 9502, Economics Division, School of Social Sciences, University of Southampton.
    9. Nikunj Patel & Martin Sewell, 2015. "Calendar anomalies: a survey of the literature," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 5(2), pages 99-121.
    10. KUMAR Satish, 2017. "A Review On The Evolution Of Calendar Anomalies," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 12(1), pages 95-109, April.
    11. Peter E. Kennedy, 2002. "Sinning in the Basement: What are the Rules? The Ten Commandments of Applied Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 16(4), pages 569-589, September.
    12. Chris Brooks & Gita Persand, 2001. "Seasonality in Southeast Asian stock markets: some new evidence on day-of-the-week effects," Applied Economics Letters, Taylor & Francis Journals, vol. 8(3), pages 155-158.
    13. Wayne E. Ferson & Sergei Sarkissian & Timothy T. Simin, 2003. "Spurious Regressions in Financial Economics?," Journal of Finance, American Finance Association, vol. 58(4), pages 1393-1413, August.
    14. Wessel Marquering & Johan Nisser & Toni Valla, 2006. "Disappearing anomalies: a dynamic analysis of the persistence of anomalies," Applied Financial Economics, Taylor & Francis Journals, vol. 16(4), pages 291-302.
    15. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    16. Wayne E. Ferson & Sergei Sarkissian & Timothy T. Simin, 2003. "Spurious Regressions in Financial Economics?," Journal of Finance, American Finance Association, vol. 58(4), pages 1393-1414, August.
    17. Rosa Borges, 2009. "Calendar Effects in Stock Markets: Critique of Previous Methodologies and Recent Evidence in European Countries," Working Papers Department of Economics 2009/37, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    18. Hakan Berument & Halil Kiymaz, 2001. "The day of the week effect on stock market volatility," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 25(2), pages 181-193, June.
    19. Kiymaz, Halil & Berument, Hakan, 2003. "The day of the week effect on stock market volatility and volume: International evidence," Review of Financial Economics, Elsevier, vol. 12(4), pages 363-380.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mehmet Hasan Eken & Taylan Ozgür Uner, 2010. "Calendar Effects in the Stock Market and a Practice Relatedn to the Istanbul Stock Exchange Market (ISEM)," Istanbul Stock Exchange Review, Research and Business Development Department, Borsa Istanbul, vol. 12(45), pages 59-95.
    2. Roberto Joaquín Santillán Salgado & Alejandro Fonseca Ramírez & Luis Nelson Romero, 2019. "The "day-of-the-week" effects in the exchange rate of Latin American currencies," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(PNEA), pages 485-507, Agosto 20.
    3. Balaban, Ercan & Ozgen, Tolga & Karidis, Socrates, 2018. "Intraday and interday distribution of stock returns and their asymmetric conditional volatility: Firm-level evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 905-915.
    4. Sumra Abbas & Attiya Yasmin Javid, 2015. "The Day-of-the-Week Anomaly in Market Returns, Volume and Volatility in SAARC Countries," PIDE-Working Papers 2015:129, Pakistan Institute of Development Economics.
    5. A. R. Zafer Sayar & Onder Kaymaz & Ali Alp, 2010. "The Effect of the Transparency Level of the ISE-Listed Banks on Liquidity," Istanbul Stock Exchange Review, Research and Business Development Department, Borsa Istanbul, vol. 12(45), pages 27-58.
    6. Chowdhury, Anup & Uddin, Moshfique & Anderson, Keith, 2022. "Trading behaviour and market sentiment: Firm-level evidence from an emerging Islamic market," Global Finance Journal, Elsevier, vol. 53(C).
    7. Diego Winkelried & Luis A. Iberico, 2018. "Calendar effects in Latin American stock markets," Empirical Economics, Springer, vol. 54(3), pages 1215-1235, May.
    8. Powell, John G. & Shi, Jing & Smith, Tom & Whaley, Robert E., 2009. "Political regimes, business cycles, seasonalities, and returns," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1112-1128, June.
    9. Högholm, Kenneth & Knif, Johan, 2009. "The impact of portfolio aggregation on day-of-the-week effect: Evidence from Finland," Global Finance Journal, Elsevier, vol. 20(1), pages 67-79.
    10. Kenneth Hogholm & Johan Knif & Seppo Pynnonen, 2011. "Common and local asymmetry and day-of-the-week effects among EU equity markets," Quantitative Finance, Taylor & Francis Journals, vol. 11(2), pages 219-227.
    11. Dumitriu, Ramona & Stefanescu, Razvan, 2013. "DOW effects in returns and in volatility of stock markets during quiet and turbulent times," MPRA Paper 47218, University Library of Munich, Germany, revised 02 Apr 2013.
    12. Shahid Raza & Sun Baiqing & Imtiaz Hussain & Pwint Kay-Khine, 2023. "Do good and bad news affect the day of the week effect? An analysis of the KSE-100 Index," SN Business & Economics, Springer, vol. 3(7), pages 1-22, July.
    13. repec:bor:iserev:v:12:y:2012:i:45:p:27-58 is not listed on IDEAS
    14. Charles, Amélie, 2010. "The day-of-the-week effects on the volatility: The role of the asymmetry," European Journal of Operational Research, Elsevier, vol. 202(1), pages 143-152, April.
    15. Andersen, Torben G. & Varneskov, Rasmus T., 2021. "Consistent inference for predictive regressions in persistent economic systems," Journal of Econometrics, Elsevier, vol. 224(1), pages 215-244.
    16. Subadar Agathee Ushad, 2009. "Seasonality, returns and volatility on the Stock Exchange of Mauritius," Applied Economics Letters, Taylor & Francis Journals, vol. 16(5), pages 545-548.
    17. Dragos Stefan Oprea & Elena Valentina Tilica, 2014. "Day-of-the-Week Effect in Post-Communist East European Stock Markets," 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. 4(3), pages 119-129, July.
    18. Thomas Mayer, 2006. "The Empirical Significance of Econometric Models," Working Papers 620, University of California, Davis, Department of Economics.
    19. John G Powell & Meifen Qian & Jing Shi & Qiaoqiao Zhu, 2015. "Should stock market return forecasts be conditioned on politics?," Australian Journal of Management, Australian School of Business, vol. 40(4), pages 672-700, November.
    20. Lean, Hooi Hooi & Smyth, Russell & Wong, Wing-Keung, 2007. "Revisiting calendar anomalies in Asian stock markets using a stochastic dominance approach," Journal of Multinational Financial Management, Elsevier, vol. 17(2), pages 125-141, April.
    21. H. Kent Baker & Abdul Rahman & Samir Saadi, 2008. "The day‐of‐the‐week effect and conditional volatility: Sensitivity of error distributional assumptions," Review of Financial Economics, John Wiley & Sons, vol. 17(4), pages 280-295, December.

    More about this item

    Keywords

    Efficient market hypothesis; Behavioral finance; Calendar anomalies; Day�of-the-week effects; Ordinary least-squares estimation; Newey-West (1987) standard error correction; S&P 500 Index;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:117001. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.