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Is there a Friday the 13th effect in ermerging Asian stock markets?

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  • Auer, Benjamin R.
  • Rottmann, Horst

Abstract

In this article, we revisit the Friday the 13th effect discussed by Kolb and Rodriguez (1987) that has received increased interest in recent research. Using a dummy-augmented GARCH model, we investigate whether the occurrence of this superstitious calendar day has significant impact on the conditional means and variances of returns in the seven emerging Asian stock markets India, Indonesia, Malaysia, the Philippines, South Korea, Taiwan and Thailand. Results obtained for the period from July 1996 to August 2013 indicate no systematic pattern across countries. We can detect a significant Friday the 13th effect only for mean returns in the Philippines and an inverse Friday the 13th effect for South Korea. Volatilities are significantly affected only in Indonesia and the Philippines. They tend to be reduced by the occurrence of Friday the 13th.

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  • Auer, Benjamin R. & Rottmann, Horst, 2013. "Is there a Friday the 13th effect in ermerging Asian stock markets?," Weidener Diskussionspapiere 35, University of Applied Sciences Amberg-Weiden (OTH).
    • Handle: RePEc:zbw:hawdps:35
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    1. Asger Lunde & Peter R. Hansen, 2005. "A forecast comparison of volatility models: does anything beat a GARCH(1,1)?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 873-889.
    2. Peiro, Amado, 1994. "Daily seasonality in stock returns : Further international evidence," Economics Letters, Elsevier, vol. 45(2), pages 227-232, June.
    3. Brian Lucey & Edel Tully, 2005. "Seasonality, Risk And Return In Daily COMEX Gold And Silver Data 1982-2002," The Institute for International Integration Studies Discussion Paper Series iiisdp057, IIIS.
    4. Brian Lucey, 2001. "Friday the 13th: international evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 8(9), pages 577-579.
    5. Josef Lakonishok, Seymour Smidt, 1988. "Are Seasonal Anomalies Real? A Ninety-Year Perspective," Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 403-425.
    6. de Jong, F.C.J.M. & Kemna, A. & Kloek, T., 1992. "A contribution to event study methodology with an application to the Dutch stock market," Other publications TiSEM 7805a40a-1e85-4621-ac05-0, Tilburg University, School of Economics and Management.
    7. Taufiq Choudhry, 2000. "Day of the week effect in emerging Asian stock markets: evidence from the GARCH model," Applied Financial Economics, Taylor & Francis Journals, vol. 10(3), pages 235-242.
    8. Brian Lucey & Angel Pardo, 2005. "Why investors should not be cautious about the academic approach to testing for stock market anomalies," Applied Financial Economics, Taylor & Francis Journals, vol. 15(3), pages 165-171.
    9. Keef, Stephen P. & Khaled, Mohammed & Zhu, Hui, 2009. "The dynamics of the Monday effect in international stock indices," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 125-133, June.
    10. Antonios Antoniou & Nuray Ergul & Phil Holmes, 1997. "Market Efficiency, Thin Trading and Non‐linear Behaviour: Evidence from an Emerging Market," European Financial Management, European Financial Management Association, vol. 3(2), pages 175-190, July.
    11. Yao, Yaqiong, 2012. "Momentum, contrarian, and the January seasonality," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2757-2769.
    12. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    13. Edwin D. Maberly, 1988. "The other friday “bull” effect: A chance occurrence or the harbinger of yet another puzzling anomaly? a note!," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 8(6), pages 723-724, December.
    14. Brian Lucey, 2010. "Lunar seasonality in precious metal returns?," Applied Economics Letters, Taylor & Francis Journals, vol. 17(9), pages 835-838.
    15. Auer, Benjamin R. & Schuhmacher, Frank, 2013. "Diamonds — A precious new asset?," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 182-189.
    16. de Jong, Frank & Kemna, Angelien & Kloek, Teun, 1992. "A contribution to event study methodology with an application to the Dutch stock market," Journal of Banking & Finance, Elsevier, vol. 16(1), pages 11-36, February.
    17. Terence Mills & J. Andrew Coutts, 1995. "Calendar effects in the London Stock Exchange FT-SE indices," The European Journal of Finance, Taylor & Francis Journals, vol. 1(1), pages 79-93.
    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. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    20. Keef, Stephen P & Khaled, Mohammed S, 2011. "The friday the thirteenth effect in stock prices: international evidence using panel data," Working Paper Series 1994, Victoria University of Wellington, School of Economics and Finance.
    21. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    22. 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.
    23. 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.
    24. Dowling, Michael & Lucey, Brian M., 2008. "Robust global mood influences in equity pricing," Journal of Multinational Financial Management, Elsevier, vol. 18(2), pages 145-164, April.
    25. Dyl, Edward A & Maberly, Edwin D, 1988. " The Anomaly That Isn't There: A Comment on Friday the Thirteenth," Journal of Finance, American Finance Association, vol. 43(5), pages 1285-1286, December.
    26. Kaushik Bhattacharya & Nityananda Sarkar & Debabrata Mukhopadhyay, 2003. "Stability of the day of the week effect in return and in volatility at the Indian capital market: a GARCH approach with proper mean specification," Applied Financial Economics, Taylor & Francis Journals, vol. 13(8), pages 553-563.
    27. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    28. J. Andrew Coutts, 1999. "Friday the thirteenth and the Financial Times Industrial Ordinary Shares Index 1935-94," Applied Economics Letters, Taylor & Francis Journals, vol. 6(1), pages 35-37.
    29. Gultekin, Mustafa N. & Gultekin, N. Bulent, 1983. "Stock market seasonality : International Evidence," Journal of Financial Economics, Elsevier, vol. 12(4), pages 469-481, December.
    30. Ariss, Rima Turk & Rezvanian, Rasoul & Mehdian, Seyed M., 2011. "Calendar anomalies in the Gulf Cooperation Council stock markets," Emerging Markets Review, Elsevier, vol. 12(3), pages 293-307, September.
    31. Tim Bollerslev, 1988. "On The Correlation Structure For The Generalized Autoregressive Conditional Heteroskedastic Process," Journal of Time Series Analysis, Wiley Blackwell, vol. 9(2), pages 121-131, March.
    32. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    33. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    34. Mark, Joy, 2011. "Gold and the US dollar: Hedge or haven?," Finance Research Letters, Elsevier, vol. 8(3), pages 120-131, September.
    35. 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.
    36. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    37. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-547, August.
    38. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    39. 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..
    40. Dowling, Michael & Lucey, Brian M., 2005. "Weather, biorhythms, beliefs and stock returns--Some preliminary Irish evidence," International Review of Financial Analysis, Elsevier, vol. 14(3), pages 337-355.
    41. Brian Lucey, 2000. "Friday the 13th and the philosophical basis of financial economics," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 24(3), pages 294-301, September.
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    3. 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.
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    5. Jasman Tuyon & Zamri Ahmada, 2016. "Behavioural finance perspectives on Malaysian stock market efficiency," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 16(1), pages 43-61, March.
    6. Luo, Kevin & Tian, Shuairu, 2020. "The “Black Thursday” effect in Chinese stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    7. repec:cup:judgdm:v:13:y:2018:i:5:p:467-470 is not listed on IDEAS
    8. Kinateder, Harald & Papavassiliou, Vassilios G., 2021. "Calendar effects in Bitcoin returns and volatility," Finance Research Letters, Elsevier, vol. 38(C).
    9. Auer, Benjamin R., 2016. "On time-varying predictability of emerging stock market returns," Emerging Markets Review, Elsevier, vol. 27(C), pages 1-13.
    10. Krzysztof Borowski, 2019. "Should Investors on Equity Markets Be Superstitious? (Example of 7 World Stock Indexes Components)," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(1), pages 151-174, January.
    11. Harshita & Shveta Singh & Surendra S. Yadav, 2019. "Unique Calendar Effects in the Indian Stock Market: Evidence and Explanations," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1_suppl), pages 35-58, April.
    12. Ramona Dumitriu & Razvan Stefanescu, 2019. "Stock Prices Behavior Before and After Friday the 13th," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 20-30.

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    More about this item

    Keywords

    Friday the 13th; GARCH; seasonality; emerging markets;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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