Banks and investment firms have increased their consumption of alternative data sets, but there are still challenges around selecting the most relevant data for trading purposes, according to panelists at a recent industry fintech conference.
Asset managers are looking for ways to mine alternative data sets for investment ideas, recognizing that stock pickers cannot rely on traditional research.
The explosion of alternative data sources, such as satellite images, sentiment analysis, and geolocation data, is having a profound impact on the field of quantitative investing. FlexTrade’s Ivy Schmerken investigates.
As hedge funds and quantitative asset managers hunt for unique sources of alpha, Wall Street’s attention is turning to analysis of location data generated by mobile phones. Location data from mobile phones is now at the forefront of the push to combine data science techniques with machine learning techniques to produce actionable information on company fundamentals. FlexTrade’s Ivy Schmerken investigates.
While early movers in the big data analytics industry have mainly been quant hedge funds and systematic fund managers, is the next wave going to come from discretionary fund managers? FlexTrade’s Ivy Schmerken investigates.