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The day-of-the-week-effect on the volatility of commodities

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  • Qadan, Mahmoud
  • Idilbi-Bayaa, Yasmeen

Abstract

The volatilities of oil, gold, silver and the energy sector have recently become products that can be traded, and investors have begun using them for hedging and speculation. Our extensive analysis of the daily prices of these volatility products documents significant and non-random patterns of movement on Mondays and Fridays. These patterns are stable in terms of the percentage of times in which they occur and the magnitude of the returns. The results are robust using different subsamples and econometric procedures. Finally, we develop a trading rule involving investing in the differentials that results in sizeable abnormal returns. Our results have far reaching implications for the pricing of volatility products.

Suggested Citation

  • Qadan, Mahmoud & Idilbi-Bayaa, Yasmeen, 2021. "The day-of-the-week-effect on the volatility of commodities," Resources Policy, Elsevier, vol. 71(C).
    • Handle: RePEc:eee:jrpoli:v:71:y:2021:i:c:s0301420720310084
    DOI: 10.1016/j.resourpol.2020.101980
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    1. Keim, Donald B & Stambaugh, Robert F, 1984. "A Further Investigation of the Weekend Effect in Stock Returns," Journal of Finance, American Finance Association, vol. 39(3), pages 819-835, July.
    2. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    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. Zhang, Jilin & Lai, Yongzeng & Lin, Jianghong, 2017. "The day-of-the-Week effects of stock markets in different countries," Finance Research Letters, Elsevier, vol. 20(C), pages 47-62.
    5. Jawadi, Fredj & Louhichi, Waël & Ameur, Hachmi Ben & Cheffou, Abdoulkarim Idi, 2016. "On oil-US exchange rate volatility relationships: An intraday analysis," Economic Modelling, Elsevier, vol. 59(C), pages 329-334.
    6. Diego Winkelried & Luis A. Iberico, 2018. "Calendar effects in Latin American stock markets," Empirical Economics, Springer, vol. 54(3), pages 1215-1235, May.
    7. Aigbe Akhigbe & Melinda Newman & Ann Marie Whyte, 2017. "Predictable Sports Sentiment and Local Trading," Financial Management, Financial Management Association International, vol. 46(2), pages 433-453, June.
    8. Wu, Qinin & Lu, Jing, 2020. "Air pollution, individual investors, and stock pricing in China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 267-287.
    9. Pantzalis, Christos & Ucar, Erdem, 2018. "Allergy onset and local investor distraction," Journal of Banking & Finance, Elsevier, vol. 92(C), pages 115-129.
    10. Huang, Hung-Hsi & Lin, Shin-Hung & Wang, Chiu-Ping, 2019. "Reasonable evaluation of VIX options for the Taiwan stock index," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 111-130.
    11. Venezia, Itzhak & Shapira, Zur, 2007. "On the behavioral differences between professional and amateur investors after the weekend," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1417-1426, May.
    12. 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.
    13. David Hirshleifer & Tyler Shumway, 2003. "Good Day Sunshine: Stock Returns and the Weather," Journal of Finance, American Finance Association, vol. 58(3), pages 1009-1032, June.
    14. Doyle, John R. & Chen, Catherine Huirong, 2009. "The wandering weekday effect in major stock markets," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1388-1399, August.
    15. Daglis, Theodoros & Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Papadakis, Theodoulos Eleftherios, 2020. "The forecasting ability of solar and space weather data on NASDAQ’s finance sector price index volatility," Research in International Business and Finance, Elsevier, vol. 52(C).
    16. Floros, Christos & Salvador, Enrique, 2014. "Calendar anomalies in cash and stock index futures: International evidence," Economic Modelling, Elsevier, vol. 37(C), pages 216-223.
    17. Qadan, Mahmoud & Nama, Hazar, 2018. "Investor sentiment and the price of oil," Energy Economics, Elsevier, vol. 69(C), pages 42-58.
    18. Mehra, Rajnish & Sah, Raaj, 2002. "Mood fluctuations, projection bias, and volatility of equity prices," Journal of Economic Dynamics and Control, Elsevier, vol. 26(5), pages 869-887, May.
    19. Shu, Hui-Chu, 2010. "Investor mood and financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 267-282, November.
    20. Deeney, Peter & Cummins, Mark & Dowling, Michael & Bermingham, Adam, 2015. "Sentiment in oil markets," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 179-185.
    21. Aboura, Sofiane & Chevallier, Julien, 2013. "Leverage vs. feedback: Which Effect drives the oil market?," Finance Research Letters, Elsevier, vol. 10(3), pages 131-141.
    22. Efimova, Olga & Serletis, Apostolos, 2014. "Energy markets volatility modelling using GARCH," Energy Economics, Elsevier, vol. 43(C), pages 264-273.
    23. Adams, Zeno & Collot, Solène & Kartsakli, Maria, 2020. "Have commodities become a financial asset? Evidence from ten years of Financialization," Energy Economics, Elsevier, vol. 89(C).
    24. Ülkü, Numan & Rogers, Madeline, 2018. "Who drives the Monday effect?," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 46-65.
    25. Kuhnen, Camelia M. & Knutson, Brian, 2011. "The Influence of Affect on Beliefs, Preferences, and Financial Decisions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(3), pages 605-626, June.
    26. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    27. Auer, Benjamin R., 2014. "Daily seasonality in crude oil returns and volatilities," Energy Economics, Elsevier, vol. 43(C), pages 82-88.
    28. Yang, Cai & Gong, Xu & Zhang, Hongwei, 2019. "Volatility forecasting of crude oil futures: The role of investor sentiment and leverage effect," Resources Policy, Elsevier, vol. 61(C), pages 548-563.
    29. Levy, Tamir & Yagil, Joseph, 2011. "Air pollution and stock returns in the US," Journal of Economic Psychology, Elsevier, vol. 32(3), pages 374-383, June.
    30. Zhang, Yongjie & Zhang, Yuzhao & Shen, Dehua & Zhang, Wei, 2017. "Investor sentiment and stock returns: Evidence from provincial TV audience rating in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 288-294.
    31. Robins, Russell P. & Smith, Geoffrey Peter, 2016. "No More Weekend Effect," Critical Finance Review, now publishers, vol. 5(2), pages 417-424, December.
    32. Hui-Chu Shu & Jung-Hsien Chang, 2015. "Investor Sentiment and Financial Market Volatility," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 16(3), pages 206-219, July.
    33. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    34. Qadan, Mahmoud & Kliger, Doron, 2016. "The short trading day anomaly," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 62-80.
    35. Qadan, Mahmoud, 2019. "Risk appetite and the prices of precious metals," Resources Policy, Elsevier, vol. 62(C), pages 136-153.
    36. Per Alkeback & Niclas Hagelin, 2004. "Expiration day effects of index futures and options: evidence from a market with a long settlement period," Applied Financial Economics, Taylor & Francis Journals, vol. 14(6), pages 385-396.
    37. repec:dau:papers:123456789/9860 is not listed on IDEAS
    38. Shlomo Zilca, 2017. "The evolution and cross-section of the day-of-the-week effect," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-12, December.
    39. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    40. Nikkinen, Jussi & Rothovius, Timo, 2019. "Energy sector uncertainty decomposition: New approach based on implied volatilities," Applied Energy, Elsevier, vol. 248(C), pages 141-148.
    41. N/A, 2004. "Index for 2004," European Union Politics, , vol. 5(4), pages 511-512, December.
    42. Alex Edmans & Diego García & Øyvind Norli, 2007. "Sports Sentiment and Stock Returns," Journal of Finance, American Finance Association, vol. 62(4), pages 1967-1998, August.
    43. Wang, Xinya & Liu, Huifang & Huang, Shupei, 2019. "Identification of the daily seasonality in gold returns and volatilities: Evidence from Shanghai and London," Resources Policy, Elsevier, vol. 61(C), pages 522-531.
    44. Gebka, Bartosz & Wohar, Mark E., 2018. "The predictive power of the yield spread for future economic expansions: Evidence from a new approach," Economic Modelling, Elsevier, vol. 75(C), pages 181-195.
    45. Harvey, Campbell R., 1988. "The real term structure and consumption growth," Journal of Financial Economics, Elsevier, vol. 22(2), pages 305-333, December.
    46. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    47. Levanon, Gad & Manini, Jean-Claude & Ozyildirim, Ataman & Schaitkin, Brian & Tanchua, Jennelyn, 2015. "Using financial indicators to predict turning points in the business cycle: The case of the leading economic index for the United States," International Journal of Forecasting, Elsevier, vol. 31(2), pages 426-445.
    48. Kostopoulos, Dimitrios & Meyer, Steffen, 2018. "Disentangling investor sentiment: Mood and household attitudes towards the economy," Journal of Economic Behavior & Organization, Elsevier, vol. 155(C), pages 28-78.
    49. Sadorsky, Perry, 2006. "Modeling and forecasting petroleum futures volatility," Energy Economics, Elsevier, vol. 28(4), pages 467-488, July.
    50. Ichev, Riste & Marinč, Matej, 2018. "Stock prices and geographic proximity of information: Evidence from the Ebola outbreak," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 153-166.
    51. Seyed Mehdian & Mark J. Perry, 2001. "The Reversal of the Monday Effect: New Evidence from US Equity Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7&8), pages 1043-1065.
    52. Seyed Mehdian & Mark J. Perry, 2001. "The Reversal of the Monday Effect: New Evidence from US Equity Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7‐8), pages 1043-1065, September.
    53. Chen, Rongda & Xu, Jianjun, 2019. "Forecasting volatility and correlation between oil and gold prices using a novel multivariate GAS model," Energy Economics, Elsevier, vol. 78(C), pages 379-391.
    54. 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.
    55. Galai, Dan & Kedar-Levy, Haim & Schreiber, Ben Z., 2008. "Seasonality in outliers of daily stock returns: A tail that wags the dog?," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 784-792, December.
    56. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    57. Maghyereh, Aktham & Awartani, Basel & Abdoh, Hussein, 2020. "The effects of investor emotions sentiments on crude oil returns: A time and frequency dynamics analysis," International Economics, Elsevier, vol. 162(C), pages 110-124.
    58. Chen, Hongtao & Liu, Li & Li, Xiaolei, 2018. "The predictive content of CBOE crude oil volatility index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 837-850.
    59. Roni Michaely & Amir Rubin & Alexander Vedrashko, 2014. "Corporate Governance and the Timing of Earnings Announcements," Review of Finance, European Finance Association, vol. 18(6), pages 2003-2044.
    60. Ciner, Cetin, 2017. "Predicting white metal prices by a commodity sensitive exchange rate," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 309-315.
    61. Birru, Justin, 2018. "Day of the week and the cross-section of returns," Journal of Financial Economics, Elsevier, vol. 130(1), pages 182-214.
    62. Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris & Smyth, Russell, 2019. "Dynamics of oil price, precious metal prices and the exchange rate in the long-run," Energy Economics, Elsevier, vol. 84(C).
    63. Gavriilidis, Konstantinos & Kallinterakis, Vasileios & Tsalavoutas, Ioannis, 2016. "Investor mood, herding and the Ramadan effect," Journal of Economic Behavior & Organization, Elsevier, vol. 132(S), pages 23-38.
    64. Reboredo, Juan C. & Ugolini, Andrea, 2018. "The impact of Twitter sentiment on renewable energy stocks," Energy Economics, Elsevier, vol. 76(C), pages 153-169.
    65. Chiah, Mardy & Zhong, Angel, 2019. "Day-of-the-week effect in anomaly returns: International evidence," Economics Letters, Elsevier, vol. 182(C), pages 90-92.
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    More about this item

    Keywords

    Day-of-the-week effect; OVX; GVZ; VXSLV; Volatility products;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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