Investors mining new data to predict retailers’ results
NEW YORK, Nov 25 (Reuters) – Heading into holidays some expect to disappoint, Wall Street investors like Goldman Sachs (GSN) are using new ways to monitor shoppers’ actions and intentions to help determine the season’s winners and losers.
They are tapping into the quickly evolving field of “alternative data” to help them predict retailer performance and provide an advantage over other investors.
Historically, Wall Street relied on traditional data like earnings reports and company filings – with an assist from their well-seasoned gut instincts.
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