MCT first to integrate with Freddie Mac API

Greater accuracy and speed in store for GSE's Whole Loan Purchase Advice Seller API

MCT first to integrate with Freddie Mac API

Mortgage Capital Trading Inc. announced this week it has become the first to integrate with Freddie Mac’s Whole Loan Purchase Advice Seller API.

The company bills itself as the industry’s leading provider of fully integrated capital markets services and technology. The API connection allows Mortgage Capital Trading (MCT) mark-to-market and hedge accounting reports to be updated with Freddie Mac purchase data directly, rather than waiting to run reports through a Loan Origination System (LOS), Phil Rasori (pictured), COO of MCT, told Mortgage Professional America during a telephone interview.

By removing manual data entry into the LOS the connection to this API will provide more accurate and timelier ‘Held For Sale’ reporting, the COO said. The integration also allows MCTlive’s Loan Commitment Tracker to automatically draw down outstanding commitments as loans are purchased by Freddie Mac, he added.

“When a loan is funded by a lender, its funded normally on a warehouse line and then, after a period of time, the end buyer – provided the loan as sold either to the agencies, securitized or sold to an aggregator – is purchased off the warehouse line by that buyer,” Rasori said in the way of context. “In the context of the Freddie Mac purchase advice API, Freddie Mac, on their cash window when they purchase a loan, will communicate a purchase advice – basically showing contract information on the commitment and the corresponding loan that they’re purchasing. That’s critical information for a few reasons: First and foremost, on the hedge accounting side that a lender performs, and that we as a hedge advisory help the lender perform these hedge accounting reports and hedge accounting functions. The amount of loans that are funded by the end of the month that are in the warehousing line goes into an entry called ‘Held for Sale.’”

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There’s the rub: “Historically – I should say invariably – the ‘Held for Sale’ safe number at the end of the month is incorrect because the purchase advice data hasn’t been updated fast enough into the loan originations system,” he said. “And so, this enables us to automatically update that purchase data and get a correct ‘Held for Sale’ number on the hedge accounting side. It’s also historically just a very laborious process where someone at the accounting side at the lender is manually typing all this into their loan origination system. This way, it can be automatically updated in the capital markets system – our MCTlive Loan Commitment Tracker – and if the lender has the ability to write data back to their LOS, we can automatically write it back.”

MCT’s integration will yield exactitude: “The accuracy is important because we run what we call secondary variant reports and we want to always match secondary commitment price to the purchase price to make sure there are no data integrity issues or, frankly, issues with the buyer where the buyer didn’t actually perform in some way the price they committed to. So it’s important those purchase numbers are extremely accurate. Anytime you have somebody entering thousands of data points manually, you’re going to get mistakes.”

It’s faster too: “It’s faster, and there’s no labor involved because it’s all automatically flowing, whereas these purchase advice reports per loan are literally hand-entered into the loan origination system. So there’s large labor cost savings as well there.”

There’s been lots of talk of replacing so-called legacy processes in the industry, an aspiration shared by GSEs calling for modernization fueled by technological advancement. Rasori agreed his company’s integration into Freddie Mac’s Whole Loan Purchase Advice Seller API is an offshoot of the push toward modernity.

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“This is exactly in line with that effort,” Rasori said. “In the capital markets side, the agencies – both Fannie and Freddie – pioneered the pricing and commitment APIs, which, from our perspective, was really a game changer in best execution analysis as it pertains to cash window execution. On the pricing and commitments APIs, that led the rest of the industry – which on the buy side are the aggregators – to start to go down that path as well.

“We’re seeing that again here, where the agencies are leading the way in modernizing the data transfer and we’re getting good feedback as we talk to aggregators who – provided they can continue to fund technological resources on their side – were excited for the buyers to follow the agencies down that path.”