Believe the hype. Quants have never been more popular. After doubling over the past decade, assets run by so-called systematic funds have hit a record $500 billion this year, according to estimates from Barclays Plc.
“Everyone is looking into alternative data sets, sometimes without really understanding their value,” says Dr. Arun Verma, Ph.D.,
Alternative data providers see huge potential in providing their data to discretionary asset managers who are losing assets to quantitative and systematic funds.
Citigroup Inc. has tapped a quantitative trading veteran to help the bank vault into that hot category, as part of a broader build-up of its equities unit.
We get it, algorithms and quants and machine learning and roboadvisors and all the rest are the latest buzz words in a financial world increasingly comfortable with the concept of computers running things,
… the model of hedge funds charging “2 and 20” — a 2 per cent management fee and 20 per cent performance fee — for investing in large-cap stocks rising and falling “doesn’t work any more” and is ripe for disruption.
If you aren’t being recruited because you didn’t work at Bridgewater, maybe it is time to create your own hedge fund operation by creating an algo on CloudQuant.
CloudQuant’s own Morgan Slade spoke with Fintech TV on our incubator for trading strategies during the Benzinga Global Fintech Awards.
Although alternative data sets are helping funds with systematic investment strategies, those funds that employ discretionary strategies are finding it harder to separate the new trading signals from the noise.
Kershner Trading Group, LLC announces the formation of CloudQuant®, a wholly owned subsidiary that is the Trading Strategy Incubator.