IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5726108.html
   My bibliography  Save this article

Carbon Market Evaluation Based on Random Walk Hypothesis in China

Author

Listed:
  • Tian Zhang
  • Shaohui Zou
  • Araz Darba

Abstract

According to the proposal of Kyoto protocol, carbon dioxide emission rights are traded as a commodity, and carbon emission trading market emerges as the times require. As the world’s largest carbon emitter, China has established eight pilot markets for carbon emission trading. Selecting the closing price of eight carbon trading markets from the establishment to June 23, 2020, this paper analyzes the daily, weekly, and monthly return series data, using the first-order autoregressive process to adjust the daily income series to eliminate the weak trading market effect and then comprehensively uses the traditional variance ratio test and multiple variance ratio test to analyze the weak-form market efficiency of the eight carbon trading markets. The empirical results show that most of the carbon trading markets are non-weak-form market efficiency, and only Tianjin, Shanghai, and Hubei markets are weak-form market efficiency under the daily trading data. However, with the increase of carbon holding period, the weak-form market efficiency continues to strengthen. It shows that liquidity, quantity, and information transparency are important factors that affect the market efficiency.

Suggested Citation

  • Tian Zhang & Shaohui Zou & Araz Darba, 2022. "Carbon Market Evaluation Based on Random Walk Hypothesis in China," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, July.
  • Handle: RePEc:hin:jnlmpe:5726108
    DOI: 10.1155/2022/5726108
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5726108.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5726108.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/5726108?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. Jingyu Liu & Weidong Meng & Bo Huang & Yuyu Li, 2022. "Factors Influencing Intergovernmental Cooperation on Emission Reduction in Chengdu-Chongqing Urban Agglomeration: An Evolutionary Game Theory Perspective," IJERPH, MDPI, vol. 19(22), pages 1-20, November.

    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:5726108. 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.