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Calendar Effects on Returns, Volatility and Higher Moments: Evidence from Crypto Markets

Author

Listed:
  • Algieri, Bernardina
  • Lawuobahsumo, Kokulo
  • Leccadito, Arturo

    (Université catholique de Louvain, LIDAM/LFIN, Belgium)

Abstract

This study aims to investigate calendar effects in the cryptocurrency market. We consider the day-of-the-week, the month-of-the-year, quarter-of-the-year, the US Holidays, and Weekend calendar anomalies for the leading cryptocurrencies: Bitcoin, Dash, Dogecoin, Litecoin, Ripple, and Stellar. Our study employs the Autoregressive Conditional Density model with dummy variables to scrutinize these calendar effects. We find anomalies in the mean, variance, skewness, and kurtosis for these cryptocurrencies’ returns. Our result suggests that the cryptocurrency market in some periods tends to violate the Efficient Market Hypothesis.

Suggested Citation

  • Algieri, Bernardina & Lawuobahsumo, Kokulo & Leccadito, Arturo, 2024. "Calendar Effects on Returns, Volatility and Higher Moments: Evidence from Crypto Markets," LIDAM Discussion Papers LFIN 2024001, Université catholique de Louvain, Louvain Finance (LFIN).
  • Handle: RePEc:ajf:louvlf:2024001
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    References listed on IDEAS

    as
    1. Fry, John & Cheah, Eng-Tuck, 2016. "Negative bubbles and shocks in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 343-352.
    2. Farah Naz & Madeeha Sayyed & Ramiz-Ur- Rehman & Muhammad Akram Naseem & Shamsul Nahar Abdullah & Muhammad Ishfaq Ahmad, 2023. "Calendar anomalies and market volatility in selected cryptocurrencies," Cogent Business & Management, Taylor & Francis Journals, vol. 10(1), pages 2171992-217, December.
    3. Hansen, Bruce E, 1994. "Autoregressive Conditional Density Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(3), pages 705-730, August.
    4. Nadarajah, Saralees & Chu, Jeffrey, 2017. "On the inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 150(C), pages 6-9.
    5. Chris Brooks & Ólan T. Henry, 2002. "The Impact of News on Measures of Undiversifiable Risk: Evidence from the UK Stock Market," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 487-507, December.
    6. Kim, Chan-Wung & Park, Jinwoo, 1994. "Holiday Effects and Stock Returns: Further Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(1), pages 145-157, March.
    7. Y. Peter Chung & Michael J. Schill, 2006. "Asset Pricing When Returns Are Nonnormal: Fama-French Factors versus Higher-Order Systematic Comoments," The Journal of Business, University of Chicago Press, vol. 79(2), pages 923-940, March.
    8. Peter ARENDAS, 2017. "The Halloween effect on the agricultural commodities markets," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(10), pages 441-448.
    9. 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.
    10. Urquhart, Andrew, 2016. "The inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 148(C), pages 80-82.
    11. Baur, Dirk G. & Cahill, Daniel & Godfrey, Keith & (Frank) Liu, Zhangxin, 2019. "Bitcoin time-of-day, day-of-week and month-of-year effects in returns and trading volume," Finance Research Letters, Elsevier, vol. 31(C), pages 78-92.
    12. Chhabra, Damini & Gupta, Mohit, 2022. "Calendar anomalies in commodity markets for natural resources: Evidence from India," Resources Policy, Elsevier, vol. 79(C).
    13. MacDonald, Ronald & Taylor, Mark P, 1988. "Testing Rational Expectations and Efficiency in the London Metal Exchange," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 50(1), pages 41-52, February.
    14. Andrew C. Meek & Seth A. Hoelscher, 2023. "Day-of-the-week effect: Petroleum and petroleum products," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(1), pages 2213876-221, December.
    15. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    16. Gerasimos G. Rompotis, 2009. "A Comprehensive Study on the Seasonality of Greek Equity Funds Performance," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 7(2), pages 229-255.
    17. Selgin, George, 2015. "Synthetic commodity money," Journal of Financial Stability, Elsevier, vol. 17(C), pages 92-99.
    18. Sven Bouman & Ben Jacobsen, 2002. "The Halloween Indicator, "Sell in May and Go Away": Another Puzzle," American Economic Review, American Economic Association, vol. 92(5), pages 1618-1635, December.
    19. Kinateder, Harald & Papavassiliou, Vassilios G., 2021. "Calendar effects in Bitcoin returns and volatility," Finance Research Letters, Elsevier, vol. 38(C).
    20. Bakas, Dimitrios & Magkonis, Georgios & Oh, Eun Young, 2022. "What drives volatility in Bitcoin market?," Finance Research Letters, Elsevier, vol. 50(C).
    21. Sidney B. Wachtel, 1942. "Certain Observations on Seasonal Movements in Stock Prices," The Journal of Business, University of Chicago Press, vol. 15, pages 184-184.
    22. Geuder, Julian & Kinateder, Harald & Wagner, Niklas F., 2019. "Cryptocurrencies as financial bubbles: The case of Bitcoin," Finance Research Letters, Elsevier, vol. 31(C).
    23. Kaiser, Lars, 2019. "Seasonality in cryptocurrencies," Finance Research Letters, Elsevier, vol. 31(C).
    24. Birru, Justin, 2018. "Day of the week and the cross-section of returns," Journal of Financial Economics, Elsevier, vol. 130(1), pages 182-214.
    25. Aharon, David Yechiam & Qadan, Mahmoud, 2019. "Bitcoin and the day-of-the-week effect," Finance Research Letters, Elsevier, vol. 31(C).
    26. Jondeau, Eric & Rockinger, Michael, 2003. "Conditional volatility, skewness, and kurtosis: existence, persistence, and comovements," Journal of Economic Dynamics and Control, Elsevier, vol. 27(10), pages 1699-1737, August.
    27. George Marrett & Andrew Worthington, 2009. "An empirical note on the holiday effect in the Australian stock market, 1996-2006," Applied Economics Letters, Taylor & Francis Journals, vol. 16(17), pages 1769-1772.
    28. Rozeff, Michael S. & Kinney, William Jr., 1976. "Capital market seasonality: The case of stock returns," Journal of Financial Economics, Elsevier, vol. 3(4), pages 379-402, October.
    29. Qadan, Mahmoud & Aharon, David Y. & Eichel, Ron, 2019. "Seasonal patterns and calendar anomalies in the commodity market for natural resources," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    30. Fabozzi, Frank J & Ma, Christopher K & Briley, James E, 1994. "Holiday Trading in Futures Markets," Journal of Finance, American Finance Association, vol. 49(1), pages 307-324, March.
    31. Algieri, Bernardina & Leccadito, Arturo, 2019. "Ask CARL: Forecasting tail probabilities for energy commodities," Energy Economics, Elsevier, vol. 84(C).
    32. Borri, Nicola, 2019. "Conditional tail-risk in cryptocurrency markets," Journal of Empirical Finance, Elsevier, vol. 50(C), pages 1-19.
    33. C. Baek & M. Elbeck, 2015. "Bitcoins as an investment or speculative vehicle? A first look," Applied Economics Letters, Taylor & Francis Journals, vol. 22(1), pages 30-34, January.
    34. Halil Kiymaz & Hakan Berument, 2003. "The day of the week effect on stock market volatility and volume: International evidence," Review of Financial Economics, John Wiley & Sons, vol. 12(4), pages 363-380.
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    More about this item

    Keywords

    Calendar effects ; Higher Moments ; Cryptocurrencies;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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