Machine Learning: On the Ground Floor, Ready to Rise

While much of the talk about machine-learning technology in capital markets is overblown, there’s no question that these tools are set to become increasingly prevalent over the coming years. Anthony Malakian takes stock of where the industry stands based on actual implementations.

Lun began trading, trying out ideas from his own work in computational biology and developing new methods geared toward finance. It took six years to develop the core of the platform that would eventually power his hedge fund, Taaffeite Capital Management, an Australia-based outfit that Lun, who also teaches plant biology and computer science at Rutgers University, co-founded with Howard Siow.

Pronounced “tah-fight,” the hedge fund is named after a precious gemstone discovered in 1945 by

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Firms step up non-compete use to protect tech, data IP

US states are increasingly banning or limiting the use of non-compete contracts, but financial firms are using them more frequently to safeguard proprietary tech and data assets—including the knowledge of the individuals who work on them.

Post-trade processing via NYFIX matching

A case study underscoring how a global asset management firm successfully addressed post-trade processing challenges by adopting NYFIX Matching from Broadridge.

The move to T+1: This time is different

This whitepaper, created by Broadridge,  focuses on leveraging robotic process automation and AI to ensure a smooth transition from T+2 to T+1 settlement.

Waters Wrap: Examining ASX’s CHESS do-over

The Australian exchange was the first exchange to be all-in on DLT—and the project failed. Anthony speaks with ASX’s Tim Whiteley to discuss the lessons learned and why he thinks the second attempt will succeed.

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