Both fundamental and quantitative strategies are fueling the alternative data boom, which in turn is changing the nature of trading and reshaping the modern investor, said buy- and sell-side panelists at a recent RavenPack conference in New York.
One way that’s playing out is in predicting prices, which is possible on a much larger, more systematic scale and across different lines of business, said Rajesh Krishnamachari, head of Data Science, Equities at Bank of America Merrill Lynch. Seclending and prime brokerage, for example, is a part of the industry that wants to predict when a stock will become hard to borrow.
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