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Irregularities in forward-looking volatility

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  • Qadan, Mahmoud
  • Nisani, Doron
  • Eichel, Ron

Abstract

We investigate the behavior of 30-day forward-looking volatility derived from options on market indices, commodities and individual active stocks using a wide range of seasonal and calendar anomalies documented empirically in the finance literature. Our findings indicate the consistent and systematic absence of irregularities in the majority of the examined effects because, in general, the volatility indices remain unaffected by seasonal and calendar effects. However, we detect robust and significant weekday seasonality, within-the-month, turn-of-the-month, pre-holiday, and intra-quarter effects. For investors interested in buying or selling volatility products, our findings may be useful in timing their transactions.

Suggested Citation

  • Qadan, Mahmoud & Nisani, Doron & Eichel, Ron, 2022. "Irregularities in forward-looking volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 489-501.
  • Handle: RePEc:eee:quaeco:v:86:y:2022:i:c:p:489-501
    DOI: 10.1016/j.qref.2022.05.003
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    as
    1. Cremers, Martijn & Fleckenstein, Matthias & Gandhi, Priyank, 2021. "Treasury yield implied volatility and real activity," Journal of Financial Economics, Elsevier, vol. 140(2), pages 412-435.
    2. Peng†Chia Chiu & Alexander Nekrasov & Terry Shevlin, 2018. "The pricing of firms with expected losses/profits: The role of January," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 45(5-6), pages 544-571, May.
    3. López, Raquel & Esparcia, Carlos, 2021. "Analysis of the performance of volatility-based trading strategies on scheduled news announcement days: An international equity market perspective," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 32-54.
    4. Olson, Dennis & Mossman, Charles & Chou, Nan-Ting, 2015. "The evolution of the weekend effect in US markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 56-63.
    5. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2020. "Historical evolution of monthly anomalies in international stock markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    6. Robins, Russell P. & Smith, Geoffrey Peter, 2016. "No More Weekend Effect," Critical Finance Review, now publishers, vol. 5(2), pages 417-424, December.
    7. Christensen, Kim & Christiansen, Charlotte & Posselt, Anders M., 2020. "The economic value of VIX ETPs," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 121-138.
    8. Kumar, Satish, 2016. "Revisiting calendar anomalies: Three decades of multicurrency evidence," Journal of Economics and Business, Elsevier, vol. 86(C), pages 16-32.
    9. Qadan, Mahmoud & Kliger, Doron, 2016. "The short trading day anomaly," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 62-80.
    10. Keef, Stephen P. & Khaled, Mohammed S., 2011. "Are investors moonstruck? Further international evidence on lunar phases and stock returns," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 56-63, January.
    11. Urquhart, Andrew & McGroarty, Frank, 2014. "Calendar effects, market conditions and the Adaptive Market Hypothesis: Evidence from long-run U.S. data," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 154-166.
    12. 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.
    13. 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.
    14. Cherry Y. Zhang & Ben Jacobsen, 2013. "Are Monthly Seasonals Real? A Three Century Perspective," Review of Finance, European Finance Association, vol. 17(5), pages 1743-1785.
    15. Mark J. Kamstra & Lisa A. Kramer & Maurice D. Levi, 2003. "Winter Blues: A SAD Stock Market Cycle," American Economic Review, American Economic Association, vol. 93(1), pages 324-343, March.
    16. Yuan, Kathy & Zheng, Lu & Zhu, Qiaoqiao, 2006. "Are investors moonstruck? Lunar phases and stock returns," Journal of Empirical Finance, Elsevier, vol. 13(1), pages 1-23, January.
    17. Seif, Mostafa & Docherty, Paul & Shamsuddin, Abul, 2017. "Seasonal anomalies in advanced emerging stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 169-181.
    18. Kolb, Robert W & Rodriguez, Ricardo J, 1987. "Friday the Thirteenth: 'Part VII'--A Note," Journal of Finance, American Finance Association, vol. 42(5), pages 1385-1387, December.
    19. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    20. 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.
    21. Christos Floros & Yong Tan, 2013. "Moon Phases, Mood and Stock Market Returns," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 12(1), pages 107-127, April.
    22. Alexander, Carol & Korovilas, Dimitris & Kapraun, Julia, 2016. "Diversification with volatility products," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 213-235.
    23. Kaplanski, Guy & Levy, Haim, 2015. "Trading breaks and asymmetric information: The option markets," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 390-404.
    24. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
    25. Qadan, Mahmoud & Aharon, David Y., 2019. "How much happiness can we find in the U.S. fear Index?," Finance Research Letters, Elsevier, vol. 30(C), pages 246-258.
    26. Ariel, Robert A, 1990. "High Stock Returns before Holidays: Existence and Evidence on Possible Causes," Journal of Finance, American Finance Association, vol. 45(5), pages 1611-1626, December.
    27. Gonzalez-Perez, Maria T. & Guerrero, David E., 2013. "Day-of-the-week effect on the VIX. A parsimonious representation," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 243-260.
    28. Carrazedo, Tiago & Curto, José Dias & Oliveira, Luís, 2016. "The Halloween effect in European sectors," Research in International Business and Finance, Elsevier, vol. 37(C), pages 489-500.
    29. 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.
    30. Constantine Dzhabarov & Alexandre Ziegler & William T. Ziemba, 2018. "Sell in May and go away: the evidence in the international equity index futures markets," Quantitative Finance, Taylor & Francis Journals, vol. 18(2), pages 171-181, February.
    31. Juhani T Linnainmaa & Michael R Roberts, 2018. "The History of the Cross-Section of Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2606-2649.
    32. 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.
    33. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2020. "Halloween Effect in developed stock markets: A historical perspective," International Economics, Elsevier, vol. 161(C), pages 130-138.
    34. Mark J. Kamstra & Lisa A. Kramer & Maurice D. Levi & Tan Wang, 2014. "Seasonally Varying Preferences: Theoretical Foundations for an Empirical Regularity," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 4(1), pages 39-77.
    35. Boubaker, Sabri & Essaddam, Naceur & Nguyen, Duc Khuong & Saadi, Samir, 2017. "On the robustness of week-day effect to error distributional assumption: International evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 114-130.
    36. Kliger, Doron & Qadan, Mahmoud, 2019. "The High Holidays: Psychological mechanisms of honesty in real-life financial decisions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 78(C), pages 121-137.
    37. Naeem, Muhammad Abubakr & Farid, Saqib & Faruk, Balli & Shahzad, Syed Jawad Hussain, 2020. "Can happiness predict future volatility in stock markets?," Research in International Business and Finance, Elsevier, vol. 54(C).
    38. 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.
    39. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    40. 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.
    41. Qadan, Mahmoud & Aharon, David Y. & Cohen, Gil, 2020. "Everybody likes shopping, including the US capital market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    42. Ariel, Robert A., 1987. "A monthly effect in stock returns," Journal of Financial Economics, Elsevier, vol. 18(1), pages 161-174, March.
    43. Li, Yue & W. Goodell, John & Shen, Dehua, 2021. "Does happiness forecast implied volatility? Evidence from nonparametric wave-based Granger causality testing," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 113-122.
    44. Levy, Tamir & Yagil, Joseph, 2012. "The week-of-the-year effect: Evidence from around the globe," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1963-1974.
    45. 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.
    46. 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.
    47. Penman, Stephen H., 1987. "The distribution of earnings news over time and seasonalities in aggregate stock returns," Journal of Financial Economics, Elsevier, vol. 18(2), pages 199-228, June.
    48. Theodor Kohers & Jayen Patel, 1999. "A new time-of-the-month anomaly in stock index returns," Applied Economics Letters, Taylor & Francis Journals, vol. 6(2), pages 115-120.
    49. George A. Akerlof & Robert J. Shiller, 2010. "Animal Spirits: How Human Psychology Drives the Economy, and Why It Matters for Global Capitalism," Economics Books, Princeton University Press, edition 1, number 9163.
    50. Chen, Jingjing & Jiang, George J. & Yuan, Chaowen & Zhu, Dongming, 2021. "Breaking VIX at open: Evidence of uncertainty creation and resolution," Journal of Banking & Finance, Elsevier, vol. 124(C).
    51. Cakici, Nusret & Zaremba, Adam & Bianchi, Robert J. & Pham, Nga, 2021. "False discoveries in the anomaly research: New insights from the Stock Exchange of Melbourne (1927–1987)," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).
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    More about this item

    Keywords

    VIX; VIX futures; ETNs; Volatility products; Calendar anomalies; Seasonality;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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