IDEAS home Printed from https://ideas.repec.org/a/ris/ibajmb/0033.html
   My bibliography  Save this article

Market Volatility and Momentum: Evidence from Pakistani Stock Exchange

Author

Listed:
  • Rafique Khan, Anila

    (Capital University of Science and Technology, Islamabad, Pakistan)

  • Waqas, Muhammad

    (Capital University of Science and Technology, Islamabad, Pakistan)

  • Hassan, Arshad

    (Capital University of Science and Technology, Islamabad, Pakistan)

Abstract

This study explores the relationship between market volatility and momentum profitability. This study indicates that market state volatility has significant power to forecast momentum payoffs, especially in negative market states. The results are the context in the presence of market state and business cycle variables. Market premium is significant and negative. Market volatility is also found negatively influencing momentum profits. Volatility is divided into volatility in the positive market and volatility in the negative market. Both are significantly and negatively influencing momentum profits. Vol+ and Vol- both have negative signs; Vol- is dominant in terms of the magnitudes of the coefficient and the t-statistics. Business cycle effect measured by term and yield is not found significant. Non-linearity has not been observed regarding the term. Results are found robust for market adjusted momentum payoff. The study also explores the impact of market state, volatility and business cycles on the return of loser and winner portfolio. This study reports that returns of the loser portfolios are explained by market component, whereas volatility is found to be insignificant. The macroeconomic variables TERM, TERM2 and YLD show signs of statistical significance. Market factor is significantly and positively influencing winner portfolios. The results indicate that volatile markets forecast low returns on winner stocks. Return dispersion used to measures cross-sectional is also found significant. The study recommends that investors should devise investment and momentum strategies on the basis of the volatility of stocks and the business cycle. The tests of this study show that volatile down markets forecast low momentum payoffs. The time-series predictability of momentum is asymmetric, which arises from loser stocks.

Suggested Citation

  • Rafique Khan, Anila & Waqas, Muhammad & Hassan, Arshad, 2017. "Market Volatility and Momentum: Evidence from Pakistani Stock Exchange," Sukkur IBA Journal of Management and Business, Sukkur IBA University, vol. 4(1), pages 82-102, January -.
  • Handle: RePEc:ris:ibajmb:0033
    DOI: 10.30537/sijmb.v4i1.105
    as

    Download full text from publisher

    File URL: https://doi.org/10.30537/sijmb.v4i1.105
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.30537/sijmb.v4i1.105?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ahmed Imran Hunjra & Tahar Tayachi & Rashid Mehmood & Sidra Malik & Zoya Malik, 2020. "Impact of Credit Risk on Momentum and Contrarian Strategies: Evidence from South Asian Markets," Risks, MDPI, vol. 8(2), pages 1-14, April.

    More about this item

    Keywords

    Market volatility; Momentum; Time-series predictability of momentum;
    All these keywords.

    JEL classification:

    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

    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:ris:ibajmb:0033. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Irfan Ali Menon (email available below). General contact details of provider: https://edirc.repec.org/data/sibaspk.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.