This webinar explores the importance and possibility of providing a consistent trading experience that combines best-in-class liquidity, data and efficiency. Where are private banks and wealth managers at in optimising their investment execution process for both clients and RMs and what are the most common pain points in the implementation of new trading solutions?

Join us to discuss key technology trends within the Asia-Pacific private and wealth management market and explore specific use cases of MarketAxess’ AxessIQ, built to transform investment advisory and execution workflows for good.

Traders in the financial markets must make endless predictions about where prices are headed moment by moment. For years they have sought increasingly sophisticated technology to make those predictions more accurate.

Companies such as New York Stock Exchange owner Intercontinental Exchange Inc. and electronic-trading marketplaces Tradeweb Markets Inc. and MarketAxess Holdings Inc. have employed AI to improve their pricing strategies.

MarketAxess developed an AI bond-pricing system, Composite+, that takes inspiration from technology giants such as Alphabet Inc.’s Google.

“I was blown away by the accuracy and sophistication I saw in nonfinancial applications such as autonomous vehicles, virtual reality and medical diagnostics. If Google can use AI to drive a car, we can price a bond with accuracy,” said Nick Themelis, CIO of the New York-based company.

Traders in the financial markets must make endless predictions about where prices are headed moment by moment. For years they have sought increasingly sophisticated technology to make those predictions more accurate.

Companies such as New York Stock Exchange owner Intercontinental Exchange Inc. and electronic-trading marketplaces Tradeweb Markets Inc. and MarketAxess Holdings Inc. have employed AI to improve their pricing strategies.

MarketAxess developed an AI bond-pricing system, Composite+, that takes inspiration from technology giants such as Alphabet Inc.’s Google.

“I was blown away by the accuracy and sophistication I saw in nonfinancial applications such as autonomous vehicles, virtual reality and medical diagnostics. If Google can use AI to drive a car, we can price a bond with accuracy,” said Nick Themelis, CIO of the New York-based company.

An adjustment to bond trade reporting to TRACE, the US post-trade reporting tape for fixed income, has cut the volume of trades arranged via alternative trading systems (ATSs) by an average 36% since 2017.

Since 26 July 2021, secondary market volumes being reported to TRACE are being adjusted to remove double counting of certain trades.

“Specifically, volumes will be computed similarly to the Weekly Treasury Aggregates, in which only one report for an ATS trade is included,” FINRA noted. FINRA implemented this as part of a wider a set of changes to reports from 26 July 2021 onwards. In addition to volumes of asset classes, it is now categorised based on how trades were conducted, as interdealer, dealer-to-customer or ATS transactions.

Although platforms are not given full clarity from FINRA, which manages the TRACE system, on the underlying trade-by-trade assessment that is made for TRACE reports, they have been provided with the overall reduction...

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Welcome to the 22nd annual Asian G3 Bond Benchmark, conducted by Asset Benchmark Research.

As an active participant in the Asian G3 bond market, we would like to invite you to complete as many of the sections as are relevant. You can return to the unfinished questionnaire at any time by clicking on the original link (there is no longer a need to log in). If at any time you require assistance, please email aaron.leung@theasset.com or call/message (852) 6773 9735.

If you only trade CDS, you will only be prompted to answer those questions.

This year a new section has been created for sellside traders.

Thank you in advance for your valued input and participation.

Please note: All entries are strictly screened. Incomplete or ineligible responses will be excluded.

You can register for the complimentary subscription to The Asset digital magazine on the last page of this questionnaire.

Traders in the financial markets must make endless predictions about where prices are headed moment by moment. For years they have sought increasingly sophisticated technology to make those predictions more accurate.

Companies such as New York Stock Exchange owner Intercontinental Exchange Inc. and electronic-trading marketplaces Tradeweb Markets Inc. and MarketAxess Holdings Inc. have employed AI to improve their pricing strategies.

MarketAxess developed an AI bond-pricing system, Composite+, that takes inspiration from technology giants such as Alphabet Inc.’s Google.

“I was blown away by the accuracy and sophistication I saw in nonfinancial applications such as autonomous vehicles, virtual reality and medical diagnostics. If Google can use AI to drive a car, we can price a bond with accuracy,” said Nick Themelis, CIO of the New York-based company.

Traders in the financial markets must make endless predictions about where prices are headed moment by moment. For years they have sought increasingly sophisticated technology to make those predictions more accurate.

Companies such as New York Stock Exchange owner Intercontinental Exchange Inc. and electronic-trading marketplaces Tradeweb Markets Inc. and MarketAxess Holdings Inc. have employed AI to improve their pricing strategies.

MarketAxess developed an AI bond-pricing system, Composite+, that takes inspiration from technology giants such as Alphabet Inc.’s Google.

“I was blown away by the accuracy and sophistication I saw in nonfinancial applications such as autonomous vehicles, virtual reality and medical diagnostics. If Google can use AI to drive a car, we can price a bond with accuracy,” said Nick Themelis, CIO of the New York-based company.

Traders in the financial markets must make endless predictions about where prices are headed moment by moment. For years they have sought increasingly sophisticated technology to make those predictions more accurate.

Companies such as New York Stock Exchange owner Intercontinental Exchange Inc. and electronic-trading marketplaces Tradeweb Markets Inc. and MarketAxess Holdings Inc. have employed AI to improve their pricing strategies.

MarketAxess developed an AI bond-pricing system, Composite+, that takes inspiration from technology giants such as Alphabet Inc.’s Google.

“I was blown away by the accuracy and sophistication I saw in nonfinancial applications such as autonomous vehicles, virtual reality and medical diagnostics. If Google can use AI to drive a car, we can price a bond with accuracy,” said Nick Themelis, CIO of the New York-based company.

Covid-19 forced corporate-bond traders to take electronic platforms more seriously after years of relatively slow adoption. It looks like a permanent shift even as investors head back into the office.

In May, 37% of investment-grade and 26% of high-yield trading volume was on electronic platforms, according to a Greenwich Associates report. Both figures are up 8 percentage points from May 2020, when electronic volumes were already surging.

As markets stabilized around the middle of last year, firms embraced electronic platforms to help execute the heavy volume of trades. Platforms including

The trend of ultra-low yields in developed market fixed-income is likely to persist into 2021. Such sub-zero interest levels and a paucity of avenues for income beg the question: where should investors be looking in their search for enhanced yield?

Active fixed income investors can pull on several levers such as interest rate management, asset allocation and scrutinized security selection to achieve attractive returns despite low entry yields. At this session, Hayden Briscoe, Head of Fixed Income Asia Pacific, will navigate through the fixed income landscape and identify bright spots for fixed income investing in 2021.