IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v526y2019ics0378437119306120.html
   My bibliography  Save this article

The relationship between news-based implied volatility and volatility of US stock market: What can we learn from multiscale perspective?

Author

Listed:
  • Mo, Bin
  • Mu, Jinqi
  • Zhang, Bilin

Abstract

This paper aims to employ the wavelet-based copula approach to empirically study the relationship between news-based implied volatility and the volatility of the US stock market using monthly data for the period January 1980 to March 2016. We find that the dependence structure is determined to be time-horizon dependent, in the short term, the correlation is very weak but quite strong in the long term. Furthermore, the asymmetric tail dependence structure can better explain the time-varying relationship in the long run shown by the time-varying SJC copula.

Suggested Citation

  • Mo, Bin & Mu, Jinqi & Zhang, Bilin, 2019. "The relationship between news-based implied volatility and volatility of US stock market: What can we learn from multiscale perspective?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    • Handle: RePEc:eee:phsmap:v:526:y:2019:i:c:s0378437119306120
    DOI: 10.1016/j.physa.2019.04.239
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119306120
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2019.04.239?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Dutta, Anupam & Bouri, Elie & Saeed, Tareq, 2021. "News-based equity market uncertainty and crude oil volatility," Energy, Elsevier, vol. 222(C).
    2. Sahibzada, Irfan Ullah, 2023. "To what extent do sovereign rating actions affect global equity market sectors?," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 240-261.
    3. Zhu, Sha & Liu, Qiuhong & Wang, Yan & Wei, Yu & Wei, Guiwu, 2019. "Which fear index matters for predicting US stock market volatilities: Text-counts or option based measurement?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    4. Wang, Gaoshan & Yu, Guangjin & Shen, Xiaohong, 2021. "The effect of online environmental news on green industry stocks: The mediating role of investor sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    5. A. Hachicha & F. Hachicha, 2021. "Analysis of the bitcoin stock market indexes using comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 647-673, February.
    6. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Kenku, Oluwademilade T. & Al-Faryan, Mamdouh Abdulaziz Saleh, 2022. "Comparative response of global energy firm stocks to uncertainties from the crude oil market, stock market, and economic policy," Resources Policy, Elsevier, vol. 79(C).

    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:eee:phsmap:v:526:y:2019:i:c:s0378437119306120. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.