Mortgages Are About Math: Open-Source Loan-Level Analysis of Fannie and Freddie

The GSE NPL sales program gives investors the opportunity to profit from investing in non-performing loans from Fannie Mae and Freddie Mac and maximizing the number of loans they can get to re-perform. Freddie Mac and Fannie Mae (the GSEs) have been selling non-performing loans (NPLs) since 2014 and 2015, respectively, to reduce their holdings of less liquid non-performing assets and gain.

Matt Levine is a Bloomberg Opinion columnist covering finance. He was an editor of Dealbreaker, an investment banker at Goldman Sachs, a mergers and acquisitions lawyer at Wachtell, Lipton, Rosen &.

Research Note: Freddie Mac’s Primary Mortgage Market Survey (PMMS) is the longest running weekly survey of mortgage interest rates in the United States. Since Freddie Mac launched its survey in 1971, others have begun collecting and reporting mortgage rate information.

Fannie Mae Issues May Volume Summary – Fannie Mae’s. annual rate of 1.5 percent in April to a value of $3.168 trillion compared to $3.164 trillion in April. The Book has increased by 1.8 percent year-to-date in 2017 and gained 1.4. mortgages Are About math: open-source loan-level Analysis of.

High yield and some CMBS indices traded in a wide range, about 3.5 points as did some of the Fannie Mae and Freddie Mac credit risk transfer. we believe that granular data analytics and loan level.

fannie mae and freddie mac loans mortgages Are About Math: Open-Source Loan-Level Analysis of. – Fannie Mae and Freddie Mac began reporting loan-level credit performance data in 2013 at the direction of their regulator, the Federal Housing. Current Mortgage Interest Rates Freddie Mac’s weekly report covers mortgage rates from the previous.

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Loan-level analysis of Fannie Mae and Freddie Mac data – toddwschneider/agency-loan-level

Today, in addition to Fannie and Freddie making their data freely available, we’re in the midst of what I might call the "medium data" revolution: personal computers are so powerful that my MacBook Air is capable of analyzing the entire 215 GB of data, representing some 38 million loans, 1.6 billion observations, and over $7.1 trillion of origination volume.