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Low-frequency components and the Weekend effect revisited: Evidence from Spectral Analysis

Author

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  • Francois-Éric Racicot

    (Chaire d'information financière et organisationnelle ESG-UQAM, Laboratory for Research in Statistics and Probability, and UQO)

Abstract

We revisit the well-known weekend anomaly (Gibbons and Hess, 1981; Harris, 1986; Smirlock and Straks, 1986; Connolly, 1989; Giovanis, 2010) using an established macroeconometric technique known as spectral analysis (Granger, 1964; Sargent, 1987). Our findings show that using regression analysis with dichotomous variables, spectral analysis helps establishing the robustness of the estimated parameters based on a sample of the S&P500 for the 1972-1973 period. As further evidence of cycles in financial times series, we relate our application of spectral analysis to the recent literature on low-frequency components in asset returns (Barberis et al., 2001; Grüne and Semmler, 2008; Semmler et al., 2009). We suggest investment practitioners to consider using spectral analysis for establishing the ‘stylized facts’ of the financial time series under scrutiny and for regression models validation purposes.

Suggested Citation

  • Francois-Éric Racicot, 2011. "Low-frequency components and the Weekend effect revisited: Evidence from Spectral Analysis," RePAd Working Paper Series UQO-DSA-wp052011, Département des sciences administratives, UQO.
    • Handle: RePEc:pqs:wpaper:052011
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    File URL: http://www.repad.org/ca/qc/uq/uqo/dsa/Racicot2011Aestimatio.pdf
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    References listed on IDEAS

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    1. Francois-Éric Racicot, 2007. "Techniques alternatives d’estimation et tests en présence d’erreurs de mesure sur les variables explicatives," RePAd Working Paper Series UQO-DSA-wp022007, Département des sciences administratives, UQO.
    2. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654.
    3. Grüne, Lars & Semmler, Willi, 2008. "Asset pricing with loss aversion," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3253-3274, October.
    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. Keim, Donald B., 1983. "Size-related anomalies and stock return seasonality : Further empirical evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 13-32, June.
    6. Gibbons, Michael R & Hess, Patrick, 1981. "Day of the Week Effects and Asset Returns," The Journal of Business, University of Chicago Press, vol. 54(4), pages 579-596, October.
    7. Maloney, Kevin J & Rogalski, Richard J, 1989. "Call-Option Pricing and the Turn of the Year," The Journal of Business, University of Chicago Press, vol. 62(4), pages 539-552, October.
    8. 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.
    9. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    10. Francois-Éric Racicot & Raymond Théoret, 2008. "Optimal Instrumental Variables Generators Based on Improved Hausman Regression, with an Application to Hedge Funds Returns," RePAd Working Paper Series UQO-DSA-wp012008, Département des sciences administratives, UQO.
    11. Smirlock, Michael & Starks, Laura, 1986. "Day-of-the-week and intraday effects in stock returns," Journal of Financial Economics, Elsevier, vol. 17(1), pages 197-210, September.
    12. Francois-Éric Racicot, 2000. "Estimation et tests en présence d'erreurs de mesure sur les variables explicatives : vérification empirique par la méthode de simulation Monte Carlo," RePAd Working Paper Series UQO-DSA-wp022008, Département des sciences administratives, UQO.
    13. Coen, Alain & Racicot, Francois-Eric, 2007. "Capital asset pricing models revisited: Evidence from errors in variables," Economics Letters, Elsevier, vol. 95(3), pages 443-450, June.
    14. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    15. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory and Asset Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 1-53.
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    Cited by:

    1. 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.
    2. 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.
    3. de Groot, E.A. & Segers, R. & Prins, D., 2021. "Disentangling the enigma of multi-structured economic cycles - A new appearance of the golden ratio," Technological Forecasting and Social Change, Elsevier, vol. 169(C).

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    More about this item

    Keywords

    Spectral Analysis; Weekend Anomaly; Financial Cycles; Low-frequency Components; Asset Returns.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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