Advertisement
Banking & finance
BusinessBanking & Finance

Exclusive | Hong Kong’s market benchmark plans to widen Hang Seng Indexes to track Greater Bay Area, biotech and environmental stocks as it keeps up with the changing times

  • The stock connect schemes have increased demand from international investors for gauges tracking the performance of mainland China’s equities
  • The plans reflect the fact the Hong Kong’s capital market is integrating more with mainland China under the bay area development and stock connect schemes

Reading Time:3 minutes
Why you can trust SCMP
A bank’s electronic board showing Hang Seng Index prices. Photo: AP
Enoch Yiu
The compiler of Hong Kong’s benchmark stock index aims to launch more indices to track the performance of shares in the Greater Bay Area, according to its chief executive.
New indices would also focus on biotech firms and stocks related to climate change as Hang Seng Indexes aims to become a leader in tracking China markets across different industries.

“China will always be our focus. Hang Seng Indexes would like to become the expert in compiling indices to cover all exchanges in China. When investors want to check the performance of China markets, we want them to first think of checking the indices of Hang Seng Indexes,” said Anita Mo, chief executive of the company, in an interview with the Post.

Advertisement
The plans of the index compiler, a subsidiary of Hang Seng Bank, reflect the fact the city’s capital market is integrating more with mainland China under the bay area development and the various schemes linking the two markets.
CEO of Hang Seng Indexes, Anita Mo. Photo: Edmond So
CEO of Hang Seng Indexes, Anita Mo. Photo: Edmond So
International investors can put their money into mainland China’s markets via the stock connect schemes. They will soon be able to buy its wealth management products when a similar scheme is launched later this year.
Advertisement
Advertisement
Select Voice
Choose your listening speed
Get through articles 2x faster
1.25x
250 WPM
Slow
Average
Fast
1.25x