IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v86y2023icp467-482.html
   My bibliography  Save this article

Evaluation of the operational quality of China's grain futures market based on the comprehensive information weighting method

Author

Listed:
  • Guo, Wenjing
  • Li, Sijie
  • Xing, Mengyue
  • Lin, Shengyao

Abstract

China's grain prices have witnessed large fluctuations since 2018. Therefore, an accurate evaluation of the impact of major events on the operational quality of the grain futures market can provide a basis for subsequent effective regulation of the grain futures market. This paper evaluates the liquidity, effectiveness, and volatility of the grain futures market with indicators. Based on the genetic algorithm, the Comprehensive Information Weights of grain futures trading are constructed. The above indicators can reflect the quality of market operation more accurately with the CIW. The evaluation of the quality of grain futures market operations shows that the liquidity of cereal futures and bean futures has weakened after December 2019. Meanwhile, the effectiveness of high-gluten wheat futures, japonica rice futures, and soybean 2 futures should be of concern. Finally, the authorities should issue timely market alerts for sharp price fluctuations (such as corn futures and soybean 1 futures).

Suggested Citation

  • Guo, Wenjing & Li, Sijie & Xing, Mengyue & Lin, Shengyao, 2023. "Evaluation of the operational quality of China's grain futures market based on the comprehensive information weighting method," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 467-482.
  • Handle: RePEc:eee:reveco:v:86:y:2023:i:c:p:467-482
    DOI: 10.1016/j.iref.2023.03.030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056023001016
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2023.03.030?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. Qingfu Liu & Qian Luo & Yiuman Tse & Yuchi Xie, 2020. "The market quality of commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1751-1766, November.
    2. Charlotte Christiansen & Maik Schmeling & Andreas Schrimpf, 2012. "A comprehensive look at financial volatility prediction by economic variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(6), pages 956-977, September.
    3. Lesmond, David A & Ogden, Joseph P & Trzcinka, Charles A, 1999. "A New Estimate of Transaction Costs," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1113-1141.
    4. Acerbi, Carlo & Tasche, Dirk, 2002. "On the coherence of expected shortfall," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1487-1503, July.
    5. Cajueiro, Daniel O. & Tabak, Benjamin M., 2005. "The rescaled variance statistic and the determination of the Hurst exponent," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 70(3), pages 172-179.
    6. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    7. Shane A. Corwin & Paul Schultz, 2012. "A Simple Way to Estimate Bid‐Ask Spreads from Daily High and Low Prices," Journal of Finance, American Finance Association, vol. 67(2), pages 719-760, April.
    8. Hasbrouck, Joel, 1993. "Assessing the Quality of a Security Market: A New Approach to Transaction-Cost Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 191-212.
    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. Qingfu Liu & Qian Luo & Yiuman Tse & Yuchi Xie, 2020. "The market quality of commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1751-1766, November.
    2. Lauter, Tobias & Prokopczuk, Marcel, 2022. "Measuring commodity market quality," Journal of Banking & Finance, Elsevier, vol. 145(C).
    3. Hasbrouck, Joel, 1996. "Order characteristics and stock price evolution An application to program trading," Journal of Financial Economics, Elsevier, vol. 41(1), pages 129-149, May.
    4. Nicholas Taylor, 2011. "Time-varying price discovery in fragmented markets," Applied Financial Economics, Taylor & Francis Journals, vol. 21(10), pages 717-734.
    5. deB. Harris, Frederick H. & McInish, Thomas H. & Wood, Robert A., 2002. "Security price adjustment across exchanges: an investigation of common factor components for Dow stocks," Journal of Financial Markets, Elsevier, vol. 5(3), pages 277-308, July.
    6. Chen, Yu-Lun & Xu, Ke, 2021. "The impact of RMB’s SDR inclusion on price discovery in onshore-offshore markets," Journal of Banking & Finance, Elsevier, vol. 127(C).
    7. Hua, Renhai & Liu, Qingfu & Tse, Yiuman, 2016. "Extended trading in Chinese index markets: Informed or uninformed?," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 112-122.
    8. Karstanje, Dennis & Sojli, Elvira & Tham, Wing Wah & van der Wel, Michel, 2013. "Economic valuation of liquidity timing," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5073-5087.
    9. Souad Lajili Jarjir & Martin Lebelle & Syrine Sassi, 2022. "The effect of issuance documentation disclosure and readability on liquidity: Evidence from green bonds," Post-Print hal-03428710, HAL.
    10. Chakravarty, Sugato & Harris, Fredreck H. deB. & Wood, Roger A., 2001. "Do Bid-Ask Spreads or Bid and Ask Depths Convey New Information First?," Purdue University Economics Working Papers 1149, Purdue University, Department of Economics.
    11. Kim, Soon-Ho & Lee, Kuan-Hui, 2014. "Pricing of liquidity risks: Evidence from multiple liquidity measures," Journal of Empirical Finance, Elsevier, vol. 25(C), pages 112-133.
    12. Zhang, Wei & Huang, Ke & Feng, Xu & Zhang, Yongjie, 2017. "Market maker competition and price efficiency: Evidence from China," Economic Modelling, Elsevier, vol. 66(C), pages 121-131.
    13. Alexander Barinov & Shawn Saeyeul Park & Çelim Yıldızhan, 2024. "Firm complexity and post-earnings announcement drift," Review of Accounting Studies, Springer, vol. 29(1), pages 527-579, March.
    14. Barbara Bedowska-Sojka, 2017. "Porownanie miesiecznych miar plynnosci akcji spolek notowanych na GPW wyznaczanych na podstawie danych niskiej czestotliwosci," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 15(66), pages 178-192.
    15. Belkhir, Mohamed & Saad, Mohsen & Samet, Anis, 2020. "Stock extreme illiquidity and the cost of capital," Journal of Banking & Finance, Elsevier, vol. 112(C).
    16. Hua Wang & Liao Xu, 2019. "Do exchange‐traded fund flows increase the volatility of the underlying index? Evidence from the emerging market in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1525-1548, March.
    17. Shrestha, Keshab & Philip, Sheena & Peranginangin, Yessy, 2020. "Contributions of Crude Oil Exchange Traded Funds in Price Discovery Process," American Business Review, Pompea College of Business, University of New Haven, vol. 23(2), pages 393-407, November.
    18. Jiang, Fuxiu & Ma, Yunbiao & Shi, Beibei, 2017. "Stock liquidity and dividend payouts," Journal of Corporate Finance, Elsevier, vol. 42(C), pages 295-314.
    19. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2018. "Do liquidity proxies measure liquidity accurately in ETFs?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 94-111.
    20. Nina Karnaukh & Angelo Ranaldo & Paul Söderlind, 2015. "Understanding FX Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 28(11), pages 3073-3108.

    More about this item

    Keywords

    Comprehensive information weights; Grain futures; Genetic algorithm; Market operational quality;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G19 - Financial Economics - - General Financial Markets - - - Other

    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:eee:reveco:v:86:y:2023:i:c:p:467-482. 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/620165 .

    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.