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Fruitful 2022 – Bond Connect Yearly Trading Volume Exceeded RMB 8 Trillion

18 January 2023

Highlights of the Month

  • In 2022, Northbound Bond Connect yearly trading volume hit RMB 8 trillion totaling 82,981 tickets. Average daily turnover throughout the year rose to RMB 32.2 billion. All the three indicators have reached new highs.
  • Monthly trading volume of December was RMB 576 billion, with monthly average daily turnover standing at RMB 26.2 billion. Most trading activities centered around Chinese government bonds (42%) and policy financial bonds (48%).
  • Bond Connect mini seminar series in December featured Orient Securities on “Seeking Opportunities in Index Investment in RMB Bond Market” on December 7, examining the performance of China bond index, preluding the outlook on index investment in China, and highlighting the investment opportunities & challenges for global investors.
  • PMIP disclosed the pre- and post-issuance information of 60 primary bonds in December, including policy financial bonds, perpetual bonds, financial bonds and green bonds.

Northbound Investors and Trading Data








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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.