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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Firms step up non-compete use to protect tech, data IP

US states are increasingly banning or limiting the use of non-compete contracts, but financial firms are using them more frequently to safeguard proprietary tech and data assets—including the knowledge of the individuals who work on them.

Waters Wrap: Examining ASX’s CHESS do-over

The Australian exchange was the first exchange to be all-in on DLT—and the project failed. Anthony speaks with ASX’s Tim Whiteley to discuss the lessons learned and why he thinks the second attempt will succeed.

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