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Revisiting Calender Anomolies in Asian Stock Markets Using a Stochastic Dominance Approach

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  • Lean Hooi Hooi
  • Wong Wing Keung
  • Russell Smyth

Abstract

Extensive evidence on the prevalence of calendar effects suggests that there exists abnormal returns, but some recent studies have concluded that calendar effects have largely disappeared. In spite of the non-normal nature of stock returns, most previous studies have employed the mean-variance criterion or CAPM statistics, which rely on the normality assumption and depend only on the first two moments, to test for calendar effects. A limitation of these approaches is that they miss much important information contained in the data such as higher moments. In this paper, we use the Davidson and Duclos (2000) test, which is a powerful non-parametric stochastic dominance (SD) test, to test for the existence of day-of-the-week and January effects for several Asian markets using daily data for the period from 1988 to 2002. Our empirical results support the existence of weekday and monthly seasonality effects in some Asian markets but suggest that first order SD for the January effect has largely disappeared.

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Bibliographic Info

Paper provided by Monash University, Department of Economics in its series Monash Economics Working Papers with number 16/05.

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Length: 22 pages
Date of creation: 02 Sep 2005
Date of revision:
Handle: RePEc:mos:moswps:2005-16

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Keywords: Stochastic dominance; Calendar anomalies; Asian markets.;

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Citations

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Cited by:
  1. Mishra, Vinod & Smyth, Russell, 2010. "An examination of the impact of India's performance in one-day cricket internationals on the Indian stock market," Pacific-Basin Finance Journal, Elsevier, vol. 18(3), pages 319-334, June.
  2. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Investor Preferences for Oil Spot and Futures Based on Mean-Variance and Stochastic Dominance," CARF F-Series CARF-F-220, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
  3. Fathi Abid & Pui Lam Leung & Mourad Mroua & Wing Keung Wong, 2014. "International Diversification Versus Domestic Diversification: Mean-Variance Portfolio Optimization and Stochastic Dominance Approaches," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 7(2), pages 45-66, May.
  4. Lean, H.H. & McAleer, M.J. & Wong, W-K., 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Econometric Institute Research Papers EI 2013-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  5. Betty Agnani & Henry Aray, 2011. "The January effect across volatility regimes," Quantitative Finance, Taylor & Francis Journals, vol. 11(6), pages 947-953.
  6. Lean, Hooi-Hooi & Wong, Wing-Keung & Zhang, Xibin, 2008. "The sizes and powers of some stochastic dominance tests: A Monte Carlo study for correlated and heteroskedastic distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(1), pages 30-48.
  7. Hooi Lean & Kok Phoon & Wing-Keung Wong, 2013. "Stochastic dominance analysis of CTA funds," Review of Quantitative Finance and Accounting, Springer, vol. 40(1), pages 155-170, January.
  8. Guo, Xu & Wong, Wing-Keung & Zhu, Lixing, 2013. "Make Almost Stochastic Dominance really Almost," MPRA Paper 49745, University Library of Munich, Germany.

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