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Bond Connect Trading Activities Remain Active

16 May 2023

Highlights of the Month

  • In April, the total monthly trading volume of Northbound Bond Connect was RMB 801 billion, with an average daily turnover of RMB 40 billion. Chinese government bonds, accounting for 48% of trading volume, was the most popular bond type, followed by policy financial bonds, representing 38% of trading volume.
  • BCCL successfully hosted the second ePrime Issuance Service workshop on April 28, a series where we gather experts from the offshore underwriter community to discuss the latest development in primary market and the ePrime platform. Valuable insights were shared by representatives from China Securities International, Guotai Junan International, Huatai International and Industrial Bank Hong Kong Branch covering various topics such as market trends and allocation workflow. We look forward to hosting more workshops in the second half of 2023.
  • PMIP disclosed the pre- and post-issuance information of 95 primary bonds in April, including policy financial bonds, medium-term notes and financial bonds.

Northbound Investors and Trading Data









Disclaimer:
The information or data contained in the Bond Connect Flash Report, and if applicable, its attachment and covering email, is for general information purposes only and should not be used as a substitute for investment, accounting, tax, legal or other professional advice. It is not directed at, nor is it intended for distribution to or use by, any person or entity in any jurisdiction or country where such distribution or use would be contrary to the applicable law, regulation or regulatory requirement, or which would subject us Bond Connect Company Limited, or any of our affiliates, to any licensing or regulatory requirement in such jurisdiction or country. Neither we nor any of our affiliates (i) guarantee the accuracy, validity, timeliness, completeness or correctness of any such information or data and (ii) accept any responsibility in that connection, or any liability for any direct or indirect loss or damage arising from the use of or reliance on any such information or data.