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Superstitious seasonality in precious metals markets? Evidence from GARCH models with time-varying skewness and kurtosis

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  • Benjamin R. Auer

Abstract

In this article, we analyse whether the Friday the 13th effect documented by Kolb and Rodriguez (1987) can be observed in precious metals markets. Specifically, we use dummy-augmented GARCH models to investigate the impact of this specific calendar day on the conditional means of gold, silver, palladium and platinum returns. The specification of the GARCH model follows a flexible class recently proposed by Le t al. (2005) that incorporates time-varying skewness and kurtosis by applying a Gram-Charlier series expansion of the normal density function. Our results for the period from July 1996 to August 2013 provide three important insights. First, there is no evidence that human superstition regarding bad luck Fridays affects precious metals markets in a negative way, i.e. returns on Fridays the 13th are not significantly lower than on regular Fridays. Second, besides showing robustness in a variety of settings, we can confirm this main result in a sensitivity check, where we replace the dummy variables by a new measure of investor attention, recently promoted by Da et al. (2011), that is based on Google search volumes. Third, as an important by-product of our study, we can show that there is significant evidence of time-varying skewness and kurtosis in precious metals returns.

Suggested Citation

  • Benjamin R. Auer, 2015. "Superstitious seasonality in precious metals markets? Evidence from GARCH models with time-varying skewness and kurtosis," Applied Economics, Taylor & Francis Journals, vol. 47(27), pages 2844-2859, June.
  • Handle: RePEc:taf:applec:v:47:y:2015:i:27:p:2844-2859
    DOI: 10.1080/00036846.2015.1011308
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    Cited by:

    1. Andrew Maree & Peter Card & Paul Kidman, 2017. "Heavy-tailed distribution, GARCH models and the silver returns," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 7(2), pages 1351-1351.
    2. Monge, Manuel & Gil-Alana, Luis A., 2021. "Lithium industry and the U.S. crude oil prices. A fractional cointegration VAR and a Continuous Wavelet Transform analysis," Resources Policy, Elsevier, vol. 72(C).
    3. repec:cup:judgdm:v:10:y:2015:i:6:p:590-592 is not listed on IDEAS
    4. Bao, Dun, 2020. "Dynamics and correlation of platinum-group metals spot prices," Resources Policy, Elsevier, vol. 68(C).
    5. Jung Youn Mo & Wooyoung Jeon, 2018. "The Impact of Electric Vehicle Demand and Battery Recycling on Price Dynamics of Lithium-Ion Battery Cathode Materials: A Vector Error Correction Model (VECM) Analysis," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    6. repec:cup:judgdm:v:13:y:2018:i:5:p:467-470 is not listed on IDEAS
    7. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.
    8. León, Ángel & Ñíguez, Trino-Manuel, 2021. "The transformed Gram Charlier distribution: Parametric properties and financial risk applications," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 323-349.
    9. Dmitry Burakov, 2018. "Do discounts mitigate numerological superstitions? Evidence from the Russian real estate market," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(5), pages 467-470, September.
    10. Thi Hong Van Hoang & Zhenzhen Zhu & Bing Xiao & Wing‐Keung Wong, 2020. "The seasonality of gold prices in China does the risk‐aversion level matter?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 2617-2664, September.
    11. Evgeny A. Antipov & Elena B. Pokryshevskaya, 2015. "Are buyers of apartments superstitious? Evidence from the Russian real estate market," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 10(6), pages 590-592, November.
    12. Jianhua Ding & Turen Guo & Bin Guo, 2018. "Fat Tails, Value at Risk, and the Palladium Returns," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 7(2), pages 95-103, May.
    13. Xi, Xian & Gao, Xiangyun & Zhou, Jinsheng & Zheng, Huiling & Ding, Jiazheng & Si, Jingjian, 2021. "Uncovering the impacts of structural similarity of financial indicators on stock returns at different quantile levels," International Review of Financial Analysis, Elsevier, vol. 76(C).
    14. Salisu, Afees A. & Gupta, Rangan & Bouri, Elie & Ji, Qiang, 2020. "The role of global economic conditions in forecasting gold market volatility: Evidence from a GARCH-MIDAS approach," Research in International Business and Finance, Elsevier, vol. 54(C).
    15. Tao Chen & Andreas Karathanasopoulos & Stanley Iat-Meng Ko & Chia Chun Lo, 2020. "Lucky lots and unlucky investors," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 735-751, February.

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