With the centenary of the Great War's conclusion approaching, it is instructive to examine how this historic event affected investors and changed global capital markets.
A Winton research project with UC Berkeley used a technique for adding noise to datasets that makes it impossible to identify individuals, while preserving broader statistical patterns.
Companies choose their identities for many reasons. But are there patterns in the naming of corporations that could shed light on other financial market trends?
Our research explores alternative approaches for assigning sectors to the S&P 500 using stock price covariance and natural language processing.
