IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789811223204_0002.html
   My bibliography  Save this book chapter

The Better Way for CME’s Execution: Based on the Perspective of Industry’s Best Practice Rule

In: The CME Vulnerability The Impact of Negative Oil Futures Trading

Author

Listed:
  • Rongbing Huang
  • George Yuan

Abstract

The event of Chicago Mercantile Exchange’s (CME) negative oil clearing price on April 20, 2020, in which commodity futures traded in a negative range, is significant to the financial community worldwide. Through discussions of the so-called “best practice” rule for professional behaviors in practice with a number of examples and standards established by professional organizations, it seems that a better option for CME’s execution would have been to first seek feedback from stakeholders internationally within a reasonable transition period before implementing the proposed new trading (or updating) rule that came into effect in the month of April 2020.

Suggested Citation

  • Rongbing Huang & George Yuan, 2020. "The Better Way for CME’s Execution: Based on the Perspective of Industry’s Best Practice Rule," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 2, pages 51-67, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789811223204_0002
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789811223204_0002
    Download Restriction: Ebook Access is available upon purchase.

    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789811223204_0002
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

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

    More about this item

    Keywords

    CME; Vulnerability; WTI; Oil; Trading; Rule; 420; Negative Trading Price; Best Practice; Valuation; Risk Management; Regulatory; Rule; Accounting; Standard; Fair Value; Trading Behaviour; Covid; Corona;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:wsi:wschap:9789811223204_0002. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.