IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5259955.html
   My bibliography  Save this article

Quantitative Evaluation Model of Stock Market Liquidity by Macroeconomic Factors

Author

Listed:
  • Kaifei Wang
  • Lianhui Li

Abstract

In order to further understand the effects of macroeconomic factors on the stock market volatility and liquidity and solve the problem that the traditional volatility measurement model loses high-frequency data information in the modeling of the influence of macroeconomic factors on stock market volatility, monthly consumer price index, daily exchange rate, and monthly money supply are taken as the main indicators to investigate the stock market liquidity in the research. Meanwhile, CARCH-MIDAS model is used to investigate the factors affecting stock market liquidity. Through the model test, it is found that the H value of the volatility effect model of the three factors is 0.0307, and the H value of the horizontal effect model is 0.0220, and the result of the horizontal effect model is closest to 1%. The results show that CARCH-MIDAS model is relatively accurate in quantitative evaluation and prediction of the stock market liquidity and volatility.

Suggested Citation

  • Kaifei Wang & Lianhui Li, 2022. "Quantitative Evaluation Model of Stock Market Liquidity by Macroeconomic Factors," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, August.
  • Handle: RePEc:hin:jnlmpe:5259955
    DOI: 10.1155/2022/5259955
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5259955.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5259955.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/5259955?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
    ---><---

    More about this item

    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:hin:jnlmpe:5259955. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.