For 36 years, Bilal Egilmez, who learned his trade in Turkey, has altered and mended clothing at Genius Tailor, his Upper East Side shop.
NYS Entity Status
NYS Filing Date
JANUARY 23, 2013
NYS DOS ID#
NYS Entity Type
DOMESTIC LIMITED LIABILITY COMPANY
2013 - GLC AMAZING TRADING, LLC
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The New York startup sucks in data from marketing firms, public loan filings, courthouses and dozens of other sources, and sells it to mortgage bond and loan traders.The vivid detail the company turns up — the types of stores borrowers tend to shop at and whether they rent out their homes on Airbnb, for example — may unsettle privacy advocates, but it’s a boon for investors trying to figure out how likely homeowners are to pay their obligations.Across the world of finance, startups are using big data to try to improve Wall Street’s success with everything from consumer lending to stock trading.The average fund manager can gain 0.4 to 0.7 percentage point of return by using more intelligent data when trading mortgages, at least for home loans that haven’t been bundled into securities, according to John Ardy, CEO of Resitrader, an institutional marketplace for home loans.“We’re concerned about how this information is shared, and how it can have adverse consequences for individuals without their even realizing it,” said Lee Tien, a senior staff attorney at the Electronic Frontier Foundation, a nonprofit focusing on civil liberties.[...] money managers using information they get from TheNumber could face accusations of discriminating against borrowers based on race or religion if it turns out the factors the company looks at tend to single out particular types of people, said Frank Pasquale, a professor at the University of Maryland’s Francis King Carey School of Law.Fund managers that use TheNumber are typically buying subprime mortgages, many of which have defaulted.TheNumber tries to determine how much pride a homeowner probably has in his or her property, based on information it gleans from third parties, such as whether the resident tends to click on online ads from home improvement and gardening stores.Experian, for example, tries to make sure investors can’t readily determine borrowers’ identities when it hands out mortgage data, said Michele Raneri, a vice president of analytics and new business development at Experian.Added information about borrowers could boost transparency in the mortgage bond market, where getting information about creditworthiness and prices can be much harder than in other debt markets.“Investors in every other market get to see what they are buying — but not mortgage bond investors,” said Adam Murphy, founder of Empirasign Strategies LLC, a trading data firm for mortgage bond professionals.
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