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Abstract

Basing on the return rate monthly Effect, the informed trading probability was combined with return rate for research in sight of market structure, and percentage monthly risk-adjusted return using Fama and French three-factor model, regressing the multi-factor on two-stage. PIN of September is the lowest in the year, showing negative relationship with percentage monthly return, the result is different with empirical results in foreign market. Impact factors for PIN monthly effect are analyzed including size of company, liquidity risk.

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References

  1. Easley D, Hvidkjaer S, O’Hara M (2002) Is information risk a determinant of asset returns? J Finance 57:2185–2221

    Article  Google Scholar 

  2. Amihud Y (2002) Illiquidity and stock returns: cross-section and time-series effects. J Financ Mark 5:31–56

    Article  Google Scholar 

  3. Xin-ting Fan, Wen-zhuo Dong (2007) January effect in Chinese market based on consumers habit (in China). J Zhongshan Univ 47(3):50–55

    Google Scholar 

  4. Li-cheng Feng (2003) Month of the year effect and turn of month effect in the Chinese stock markets (in China). Manage Sci 17(1):41–48

    Google Scholar 

  5. Fama E, French K (1992) The cross-section of expected stock returns. J Finance 47:427–465

    Article  Google Scholar 

  6. Fama E, French K (1993) Common risk factors in the returns on stocks and bonds. J Financ Econ 33:3–56

    Article  Google Scholar 

  7. Easley D, Keifer N, O’Hara M, Paperman J (1996) Liquidity, information and infrequently traded stocks. J Finance 51:1405–1436

    Article  Google Scholar 

  8. Easley D, Hvidkjaer S, O’Hara M (2010) Factoring information into returns. J Financ Quant Anal 45:293–309

    Article  Google Scholar 

  9. Doran J, Jiang D, Peterson D (2008) Gambling in the new year: the January idiosyncratic volatility puzzle. Working paper, Florida State University, Florida, US

    Google Scholar 

  10. Duarte J, Young L (2009) Why is PIN priced? J Financ Econ 91:119–138

    Google Scholar 

  11. Wachtel SB (1942) Certain observations on the seasonal movement in stock prices. J Bus 15:184–193

    Google Scholar 

  12. Badrinath G, Wahal S (2002) Momentum trading by institutions. J Finance 57:2449–2478

    Article  Google Scholar 

  13. Fama E, French KR (1996) Multifactor explanations of asset pricing anomalies. J Finance 51:55–84

    Article  Google Scholar 

  14. Easley D, Keifer N, O’Hara M (1997) One day in the life of a very common stock. Rev Financ Stud 10:805–835

    Article  Google Scholar 

  15. Lee C, Ready M (1991) Inferring trade direction from intraday data. J Finance 46:733–746

    Article  Google Scholar 

  16. Kubota K, Takehara H (2009) Information based trade, the PIN variable, and portfolio style differences: evidences from Tokyo stock exchange firms. Pacific-Basin Finance J 17:319–337

    Article  Google Scholar 

Download references

Acknowledgment

At first, I thank my teacher Professor Chun-feng Wang, he guide me to research the subject and perfect the paper constantly. As well as I thank my mates, they give good suggestions to the research and help me a lot during the difficult courses of the paper.

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Correspondence to Jia-yi Li .

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Li, Jy., Fang, Zm. (2014). Research of the Informed Trading Probability Monthly Effect in Chinese Stock Market. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40060-5_35

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