The bank is also looking at using AI for intelligent IOI suggestions based on clients’ trading profiles.
Liquidnet plans to use Prattle's natural-language processing and machine learning capabilities to boost its analytics offerings.
Refinitiv's risk intelligence solutions utilize Trulioo's verification system and data hub to help institutions more efficiently meet KYC requirements.
Machine learning can tell stories from large datasets to drive alpha, say quants.
These new models sidestep Black-Scholes and could slash hedging costs for some derivatives by up to 80%.
As global banks seek to promote trade finance as an investable asset class to the buy side, the sector’s lack of technology and data infrastructure have come to light.
As ESG data becomes more of a commodity, firms are struggling with how best to incorporate carbon data.
The firm is developing machine learning models internally to optimize the reconciliation process and detect price anomalies.
The bank plans to expand a program that uses machine learning to pull out key terms for contracts.
Buy-siders have limited their usage of deep learning techniques due to haziness over their inner workings.
Bayesian analysis can replace random forest with a single, powerful tree, writes UBS’s Giuseppe Nuti.
Michael Bodson predicts technology will fundamentally change how the markets work.
A look at the massive tech projects (and legal battles) underway at the NYSE, which are being led by Stacey Cunningham.
A substantial amount of vendors are making misleading claims about AI capabilities, experts say.
As nations and markets become increasingly interconnected, geopolitical risk has become top of mind for portfolio managers.
Humans, and not robots, will still be required for the foreseeable future, say trading vets.
Assuming that automated artificial intelligence holds the key to unlocking fragmented datasets, the absence of standardized models coupled with regulatory concerns remain barriers to adoption.
The combination of the two technologies is bearing fruit for firms struggling with legacy architectures, but education and talent remain tough obstacles to overcome.
The transition away from Libor is a mammoth task for the banking sector—one that the industry is increasingly finding itself woefully unprepared for. By Hamad Ali
The technology giant is rolling out tools to asset managers who need to use machine learning but have limited in-house experience.
UBS Asset Management’s data chief sets out his recommendations for using alternative data in the investment process.
Robotics’ promise to revolutionize operations by automating tasks and accelerating processes is hitting implementation roadblocks.