Last year proved to be a strong litmus test for the hedge fund industry, with a slew of strategies able to post solid returns in a market that witnessed an incredible trough to peak recovery between Q2 and Q4.
In 2016, SEI issued a paper on what it saw as five major innovations that were causing disruptions both within and outside of their respective industries. The company has revisited those themes, namely: Watsonisation, Googlisation, Amazonisation, Uberisation and Twitterisation, to
Technological advances are shaping the way asset management firms operate, as they look for ways to introduce artificial intelligence applications to monetise data, and improve automation from the front to the back office.
The ways in which Amazon’s business model could be employed by financial services and fintech firms to influence, disrupt and reshape the asset management industry are explored in a deep-dive new study by SEI.
In 2016, SEI issued a paper on what it saw as five major innovations that were causing disruptions both within and outside of their respective industries. The company has revisited those themes, namely: Watsonisation, Googlisation, Amazonisation, Uberisation and Twitterisation, to
This year’s Covid-19 stock market upheaval has revealed an “Achilles’ heel” in quantitative hedge fund models that use traditional factors such as momentum and value, as machine-based strategies have struggled against “unique new drivers of stock returns that don’t fit
In this podcast produced by Hedgeweek, in association with SEI, we examine how AI is shaping the future of the asset management industry on the back of SEI’s recent white paper, Watsonisation 2.0: The Exponential Pull of Innovation.
In 2016, SEI issued a paper on what it saw as five major innovations that were causing disruptions both within and outside of their respective industries. The company has revisited those themes, namely: Watsonisation, Googlisation, Amazonisation, Uberisation and Twitterisation, to
Artificial intelligence is enabling organisations to be more proactive in their approach to cyber threats. Work environments with greater levels of remote access could be deemed more vulnerable, but the element of automation in identifying and remediating potentially malicious behaviour
