Wei-Shen joined WatersTechnology in June 2016, becoming the publication’s first full-time Asia-based reporter. Based out of Hong Kong, she writes for both Waters and Inside Data Management magazines, as well as the four subsites of WatersTechnology.com—Sell-Side Technology, Buy-Side Technology, Inside Reference Data and Inside Market Data. Prior to joining WatersTechnology, she was a journalist at Star Media Group in Malaysia. She has a Bachelor of Commerce degree in Accounting and Finance from the University of Auckland.
As the race for quantum supremacy continues, Wei-Shen thinks about how financial institutions are experimenting with quantum computing and what results it could bring.
Direct links set up in each location “jump” from points-of-presence to a cloud in under a millisecond.
For it's real estate token, 90% of investment is coming from institutional firms.
The bank is looking to extend this feature to other asset classes in the future.
The vendor is also experimenting with machine learning to help the buy-side sift through the vast amount of unstructured alternatives investment data.
As more financial institutions are starting to expand their usage of AI, they are turning to the cloud to help scale up. However, there are things to consider before doing so. Wei-Shen Wong examines.
The vendor will also expand its proxy pricing into the maturing fixed income markets outside of core regional financial centers.
The Swedish company is working with a third-party to build the solution, which will launch in Q4.
Chi-X launched MatchPoint to meet the demand for anonymous trades during the closing auction.
An examination of the ‘data translator’ role and how it can help forward a firm’s data agenda.
If the HKEx–LSEG merger goes through, the LSEG–Refinitiv deal would be scrapped, creating an interesting ripple effect.
There’s an opportunity for Chinese asset managers looking to attract foreign investors, but transparency remains an issue.
A lack of liquidity and the ability to accurately measure credit risk will be the biggest hurdles to overcome.
Regulation and growth have pushed the investment firm to go with Bloomberg’s front-to-back suite of solutions.
A deep-dive into how capital markets firms are using open-source tools to experiment with machine learning.