IDEAS home Printed from https://ideas.repec.org/a/eee/ecofin/v68y2023ics1062940823000852.html
   My bibliography  Save this article

Which liquidity indicator is more informative to market volatility? Spectrum analysis of China’s base metal futures market

Author

Listed:
  • Chen, Xiangyu
  • Tongurai, Jittima

Abstract

By applying the frequency domain causality test and cross-spectral coherence analysis, this study investigates the informational effects of liquidity indicators on the volatility of China’s base metal futures market from January 2016 to June 2022. We find that trading volume is more informative in economically explaining the price variations of most base metal futures for all frequency horizons, while open interest is more informative to Granger-cause economic innovations in the market volatility of the lead and nickel futures markets both in the short and long run. The coherence levels between the underlying frequency components for open interest are found to be greater than those for trading volume, suggesting that price volatility in China’s base metal futures market would be more responsive to shocks in open interest.

Suggested Citation

  • Chen, Xiangyu & Tongurai, Jittima, 2023. "Which liquidity indicator is more informative to market volatility? Spectrum analysis of China’s base metal futures market," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    • Handle: RePEc:eee:ecofin:v:68:y:2023:i:c:s1062940823000852
    DOI: 10.1016/j.najef.2023.101962
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062940823000852
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.najef.2023.101962?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.

    References listed on IDEAS

    as
    1. Kao, Yu-Sheng & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2020. "The empirical linkages among market returns, return volatility, and trading volume: Evidence from the S&P 500 VIX Futures," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Kumar, Satish, 2016. "Evidence of information transmission across currency futures markets using frequency domain tests," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 319-327.
    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. Pami Dua & Ritu Suri, 2019. "Interlinkages Between USD–INR, EUR–INR, GBP–INR and JPY–INR Exchange Rate Markets and the Impact of RBI Intervention," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1_suppl), pages 102-136, April.
    2. Min Liu & Wei‐Chong Choo & Chi‐Chuan Lee & Chien‐Chiang Lee, 2023. "Trading volume and realized volatility forecasting: Evidence from the China stock market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 76-100, January.
    3. Kao, Yu-Sheng & Day, Min-Yuh & Chou, Ke-Hsin, 2024. "A comparison of bitcoin futures return and return volatility based on news sentiment contemporaneously or lead-lag," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    4. Malay K. Dey & Chaoyan Wang, 2021. "Volume decomposition and volatility in dual-listing H-shares," Journal of Asset Management, Palgrave Macmillan, vol. 22(4), pages 301-310, July.
    5. Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(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:ecofin:v:68:y:2023:i:c:s1062940823000852. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620163 .

    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.