IDEAS home Printed from https://ideas.repec.org/a/jfr/afr111/v8y2019i4p1.html

The Driving Forces of Stock Returns in Hong Kong

Author

Listed:
  • Samuel Xin Liang

Abstract

We comprehensively investigate what drives stock returns in Hong Kong stock market which has been consistently ranked as one of the most important markets for IPOs. We find that Hong Kong inflation rate is a systematic pricing factor across stocks after controlling for Fama-French three-factor. It is different from the U.S. market and other developed markets that the momentum, dividend yield, cash-flow yield, earnings yield, and return-reversal factors are not significant pricing factors for stock returns in Hong Kong. Our Fama-MacBeath (1973) regressions show that a stock’s value (cash-flow yield and book-to-market ratio) is the strongest predictor of stock returns in Hong Kong after controlling for market, value, and size factors and macroeconomic factors.

Suggested Citation

  • Samuel Xin Liang, 2019. "The Driving Forces of Stock Returns in Hong Kong," Accounting and Finance Research, Sciedu Press, vol. 8(4), pages 1-1, November.
    • Handle: RePEc:jfr:afr111:v:8:y:2019:i:4:p:1
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/afr/article/download/16166/10086
    Download Restriction: no
    File URL: https://www.sciedupress.com/journal/index.php/afr/article/view/16166
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kent Daniel & Sheridan Titman & K.C. John Wei, 2001. "Explaining the Cross‐Section of Stock Returns in Japan: Factors or Characteristics?," Journal of Finance, American Finance Association, vol. 56(2), pages 743-766, April.
    2. Samuel Xin Liang, 2019. "What drives stock returns in Japan?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(1), pages 39-69, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tim Brailsford & Clive Gaunt & Michael A O’Brien, 2012. "Size and book-to-market factors in Australia," Australian Journal of Management, Australian School of Business, vol. 37(2), pages 261-281, August.
    2. Mian, G. Mujtaba & Teo, Terence G. L., 2004. "Do errors in expectations explain the cross-section of stock returns?," Pacific-Basin Finance Journal, Elsevier, vol. 12(2), pages 197-217, April.
    3. repec:dau:papers:123456789/2514 is not listed on IDEAS
    4. D. L. Wilcox & T. J. Gebbie, 2013. "On pricing kernels, information and risk," Papers 1310.4067, arXiv.org, revised Oct 2013.
    5. Lam, F.Y. Eric C. & Wei, K.C. John, 2011. "Limits-to-arbitrage, investment frictions, and the asset growth anomaly," Journal of Financial Economics, Elsevier, vol. 102(1), pages 127-149, October.
    6. Pascal Nguyen & Sophie Nivoix & Mikiharu Noma, 2010. "The valuation of R&D expenditures in Japan," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 50(4), pages 899-920, December.
    7. Mazza, Paolo & Wang, Shiyu, 2021. "Corporate legal insider trading in China: Performance and determinants," International Review of Law and Economics, Elsevier, vol. 68(C).
    8. Sakawa, Hideaki & Watanabel, Naoki & Hiramatsu, Kenji, 2025. "Do buyback anomalies explain the stock return in Japan? A pre-registered report," Pacific-Basin Finance Journal, Elsevier, vol. 91(C).
    9. Quentin Wodon, 2007. "Constructing Fama-French Factors from style indexes: Japanese evidence," Economics Bulletin, AccessEcon, vol. 7(7), pages 1-10.
    10. Wallmeier, Martin & Tauscher, Kathrin, 2012. "A Note on the Impact of Portfolio Overlapping in Tests of the Fama and French Three-Factor Model," FSES Working Papers 433, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    11. Teng, Min & Si, Jiwen & Hachiya, Toyohiko, 2016. "Banking relationship, relative leverage and stock returns in Japan," Pacific-Basin Finance Journal, Elsevier, vol. 40(PA), pages 86-101.
    12. Chou, Pin-Huang & Ko, Kuan-Cheng, 2008. "Characteristics, covariances, and structural breaks," Economics Letters, Elsevier, vol. 100(1), pages 31-34, July.
    13. Michael Drew & Madhu Veeraraghavan, 2002. "Idiosyncratic Volatility: Evidence from Asia," School of Economics and Finance Discussion Papers and Working Papers Series 107, School of Economics and Finance, Queensland University of Technology.
    14. Christian Walkshäusl & Sebastian Lobe, 2014. "The Alternative Three†Factor Model: An Alternative beyond US Markets?," European Financial Management, European Financial Management Association, vol. 20(1), pages 33-70, January.
    15. Reichenbacher, Michael & Schuster, Philipp, 2022. "Size-adapted bond liquidity measures and their asset pricing implications," Journal of Financial Economics, Elsevier, vol. 146(2), pages 425-443.
    16. Chandra Shekhar Bhatnagar & Riad Ramlogan, 2012. "The capital asset pricing model versus the three factor model: A United Kingdom Perspective," International Journal of Business and Social Research, LAR Center Press, vol. 2(1), pages 51-65, February.
    17. Katsuhiko Muramiya & Kazuhisa Otogawa & Tomomi Takada, 2008. "Abnormal Accrual, Informed Trader, and Long-Term Stock Return: Evidence from Japan," Discussion Paper Series 233, Research Institute for Economics & Business Administration, Kobe University.
    18. Kathrin Tauscher & Martin Wallmeier, 2016. "Portfolio Overlapping Bias in Tests of the Fama–French Three†Factor Model," European Financial Management, European Financial Management Association, vol. 22(3), pages 367-393, June.
    19. Maria Elisabete Neves & Mário Abreu Pinto & Carla Manuela de Assunção Fernandes & Elisabete Fátima Simões Vieira, 2021. "Value and growth stock returns: international evidence (JES)," International Journal of Accounting & Information Management, Emerald Group Publishing Limited, vol. 29(5), pages 698-733, October.
    20. Chang, Chiao-Yi, 2011. "The relationship between the 52-week high of an individual stock and stock market index level: Evidence from Taiwan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 14-27, February.
    21. Nahzat Abbas & Jahanzeb Khan & Rabia Aziz & Zain Sumrani, 2015. "A Study to Check the Applicability of Fama and French, Three-Factor Model on KSE 100-Index from 2004-2014," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 6(1), pages 90-100, January.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jfr:afr111:v:8:y:2019:i:4:p:1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sciedu Press (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.