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The Pre-Holiday Effect in China: Abnormal Returns or Compensation for Risk?

Author

Listed:
  • Tian Yuan

    (Fixed Income Department, Guosen Securities 6, Xingsheng Street, Beijing 100033, P. R. China)

  • Rakesh Gupta

    (Department of Accounting, Finance and Economics, Griffith Business School, Nathan Campus, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia)

  • Robert J. Bianchi

    (Department of Accounting, Finance and Economics, Griffith Business School, Nathan Campus, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia)

Abstract

This study examines the pre-holiday effect in the Chinese stock market. It provides new insights into the weak-form efficiency of China's equity market indexes. Using the GARCH (1,1) model, we find the pre-holiday effect in broad-based Chinese stock returns and in size, value and growth style indexes. Further analysis using a GARCH (1,1)-M model suggests that the pre-holiday effect at both market and industry/sector levels can be attributed to time-varying risk. We show the pre-holiday effect reflects abnormal returns in small-cap, large-cap and growth style indexes while this same effect reflects compensation for bearing risk in value stocks.

Suggested Citation

  • Tian Yuan & Rakesh Gupta & Robert J. Bianchi, 2015. "The Pre-Holiday Effect in China: Abnormal Returns or Compensation for Risk?," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-28.
  • Handle: RePEc:wsi:rpbfmp:v:18:y:2015:i:03:n:s0219091515500149
    DOI: 10.1142/S0219091515500149
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    1. Cadsby, Charles Bram & Ratner, Mitchell, 1992. "Turn-of-month and pre-holiday effects on stock returns: Some international evidence," Journal of Banking & Finance, Elsevier, vol. 16(3), pages 497-509, June.
    2. Josef Lakonishok, Seymour Smidt, 1988. "Are Seasonal Anomalies Real? A Ninety-Year Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 403-425.
    3. Narayan, Paresh Kumar & Sharma, Susan Sunila & Thuraisamy, Kannan Sivananthan, 2014. "An analysis of price discovery from panel data models of CDS and equity returns," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 167-177.
    4. Gili Yen & Cheng-few Lee, 2008. "Efficient Market Hypothesis (EMH): Past, Present and Future," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 305-329.
    5. Brian Lucey, 2000. "Anomalous daily seasonality in Ireland?," Applied Economics Letters, Taylor & Francis Journals, vol. 7(10), pages 637-640.
    6. Meneu, Vicente & Pardo, Angel, 2004. "Pre-holiday effect, large trades and small investor behaviour," Journal of Empirical Finance, Elsevier, vol. 11(2), pages 231-246, March.
    7. Fornari, Fabio & Mele, Antonio, 1996. "Modeling the changing asymmetry of conditional variances," Economics Letters, Elsevier, vol. 50(2), pages 197-203, February.
    8. Julan Du & Shang-Jin Wei, 2004. "Does Insider Trading Raise Market Volatility?," Economic Journal, Royal Economic Society, vol. 114(498), pages 916-942, October.
    9. Stephen Keef & Melvin Roush, 2005. "Day-of-the-week effects in the pre-holiday returns of the Standard & Poor's 500 stock index," Applied Financial Economics, Taylor & Francis Journals, vol. 15(2), pages 107-119.
    10. 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.
    11. Sharma, Susan Sunila & Narayan, Paresh Kumar, 2014. "New evidence on turn-of-the-month effects," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 92-108.
    12. Tan, Lin & Chiang, Thomas C. & Mason, Joseph R. & Nelling, Edward, 2008. "Herding behavior in Chinese stock markets: An examination of A and B shares," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 61-77, January.
    13. Kang, Joseph & Liu, Ming-Hua & Ni, Sophie Xiaoyan, 2002. "Contrarian and momentum strategies in the China stock market: 1993-2000," Pacific-Basin Finance Journal, Elsevier, vol. 10(3), pages 243-265, June.
    14. Paul Brockman & David Michayluk, 1998. "The persistent holiday effect: additional evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 5(4), pages 205-209.
    15. 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.
    16. Groenewold, Nicolaas & Tang, Sam Hak Kan & Wu, Yanrui, 2003. "The efficiency of the Chinese stock market and the role of the banks," Journal of Asian Economics, Elsevier, vol. 14(4), pages 593-609, August.
    17. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    18. Noor Azuddin Yakob & Diana Beal & Sarath Delpachitra, 2005. "Seasonality in the Asia Pacific stock markets," Journal of Asset Management, Palgrave Macmillan, vol. 6(4), pages 298-318, December.
    19. Narayan, Paresh Kumar & Zheng, Xinwei, 2011. "The relationship between liquidity and returns on the Chinese stock market," Journal of Asian Economics, Elsevier, vol. 22(3), pages 259-266, June.
    20. Beller, Kenneth & Nofsinger, John R, 1998. "On Stock Return Seasonality and Conditional Heteroskedasticity," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(2), pages 229-246, Summer.
    21. 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.
    22. Paresh Kumar Narayan & Xinwei Zheng, 2012. "Asymmetric Information and Market Decline: Evidence from the Chinese Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 1-17.
    23. Yangru Wu, 2011. "Momentum trading, mean reversal and overreaction in Chinese stock market," Review of Quantitative Finance and Accounting, Springer, vol. 37(3), pages 301-323, October.
    24. Kenneth Beller & John R. Nofsinger, 1998. "On Stock Return Seasonality And Conditional Heteroskedasticity," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(2), pages 229-246, June.
    25. Zhe Shen & Jerry Coakley & Norvald Instefjord, 2014. "Earnings management and IPO anomalies in China," Review of Quantitative Finance and Accounting, Springer, vol. 42(1), pages 69-93, January.
    26. A.D. Clare & M.S.B. Ibrahim & S.H. Thomas, 1998. "The Impact of Settlement Procedures on Day-of-the-week Effects: Evidence from the Kuala Lumpur Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(3&4), pages 401-418.
    27. 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.
    28. Roger Vergin & John McGinnis, 1999. "Revisiting the Holiday Effect: is it on holiday?," Applied Financial Economics, Taylor & Francis Journals, vol. 9(5), pages 477-482.
    29. Chong, Ryan & Hudson, Robert & Keasey, Kevin & Littler, Kevin, 2005. "Pre-holiday effects: International evidence on the decline and reversal of a stock market anomaly," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1226-1236, December.
    30. Wang, Xiao Lu & Shi, Kan & Fan, Hong Xia, 2006. "Psychological mechanisms of investors in Chinese Stock Markets," Journal of Economic Psychology, Elsevier, vol. 27(6), pages 762-780, December.
    31. Glenn N. Pettengill, 1989. "Holiday Closings And Security Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 12(1), pages 57-67, March.
    32. Narayan, Paresh Kumar & Zheng, Xinwei, 2010. "Market liquidity risk factor and financial market anomalies: Evidence from the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 18(5), pages 509-520, November.
    33. A.D. Clare & M.S.B. Ibrahim & S.H. Thomas, 1998. "The Impact of Settlement Procedures on Day‐of‐the‐week Effects: Evidence from the Kuala Lumpur Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(3‐4), pages 401-418, April.
    34. 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.
    35. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    More about this item

    Keywords

    Chinese stock market; weak-form market efficiency; pre-holiday effect; volatility; GARCH-M;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

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