Messy MBSs? Startup uses deep learning to predict mortgage-backed securities markets

As interest rates rise and house prices fall after a steady period of the opposite dynamic, investors are looking for more accurate ways to price these factors into the value of mortgage-backed securities.

While the globe bakes in record high temperatures, there’s one thing cooling down: the US housing market, where inflation and rising interest rates have led to a distinctly chillier climate.

In November, housing price data provider Zillow predicted write-downs of more than half a billion dollars on mortgage-backed securities (MBSs) it issued as a result of winding down its Zillow Offers house-flipping business, which overpaid for homes it expected to resell for a profit, at the same time that

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Nasdaq reshuffles tech divisions post-Adenza

Adenza is now fully integrated into the exchange operator’s ecosystem, bringing opportunities for new business and a fresh perspective on how fintech fits into its strategy.

Deutsche Börse democratizes data with Marketplace offering

Deutsche Börse Group is set to unveil its Marketplace, a one-stop data shop designed to simplify and streamline data acquisition and consumption for its clients, while also surfacing data from across the firm to its own users. Jan Stiebing and Sven…

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