Anthony looks at an interesting project using causal inference by IBM and Refinitiv, and what this latest evolution of machine learning could mean for innovation in the capital markets in the future.
The two companies are in the early stages of using causal inference to help firms build machine learning models that are better able to handle disruption from events like the Covid-19 pandemic.
The asset manager is teaming with a vendor on the project, which will first be used for equities trading before moving to corporate bonds.
Maranca will be responsible for executing a global data strategy at Schneider Electric.
The model, widely used in gambling, could have applications for customized options and other exotic financial products.
Worthington has more than two decades’ experience building and managing shared infrastructure.
The Chicago Board Options Exchange has promoted 34-year CBOE veteran Alicia Goldberg to vice president of statistical analysis.
First prototype apps awaiting user feedback provide displays covering market statistics, correlation and open-high-low-close data.