The latest big idea in machine learning is to automate the drudge work in model-building for quants
The new service for traders employs time series analysis to forecast rates for securities lending.
The bank has a number of projects using emerging technologies, one of which optimizes the process of detecting price anomalies.
Potamus has seen its US equities platform grow in the past year.
BlackRock, MSCI, and La Française are some of the firms looking to replace traditional, linear risk models.
Finance firms and regulators are beginning to assess the ethical implications of artificial intelligence.
Dr. Lee Braine walks through how the bank is experimenting with quantum computing and where the field is heading.
The Japanese bank has already automated handwritten form processing and is experimenting with AI to make use of its unstructured data.
The quant firm’s Seth Weingram lays out his principles for the effective use of machine learning.
The threat of high-frequency traders have forced banks to spend big on tech.
The bank is also looking at using AI for intelligent IOI suggestions based on clients’ trading profiles.
The company is leveraging AI to make investment suggestions and dig out sentiment from spoken announcements.
As ESG data becomes more of a commodity, firms are struggling with how best to incorporate carbon data.
While tech advancements are being made, buy-side firms still rely on humans to make sense of alt data.
The last decade has seen Euronext chewed up and spun out following a series of mergers & acquisitions. Once again independent, Courbebaisse is writing the exchange’s IT roadmap.
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.
A look at the massive tech projects (and legal battles) underway at the NYSE, which are being led by Stacey Cunningham.
As nations and markets become increasingly interconnected, geopolitical risk has become top of mind for portfolio managers.
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 trading platform has snapped up a MIC code as it ponders whether the growing market segment needs a ParFX model.
New modules will allow users to modify certain aspects of algorithmic code.
The venue operator is building its own container to house current and future algorithmic offerings.