Fannie Mae to make mountain of data available on modified loans

Historical data made available as part of plan to securitize re-performing loans

Fannie Mae said Monday that is plans to release a massive collection of data on previously modified loans in its portfolio as part of plan to being securitizing re-performing loans later this year.

In April, Fannie Mae announced that it will begin securitizing previously delinquent loans at some point in the second half of 2016.

Now, in an effort to provide the market with a “greater ability to analyze the performance of modified loans,” Fannie Mae plans to make a historical dataset available on loans on its books that were previously modified due to delinquency.

According to information from Fannie Mae, the historical data release will be made available in July, and will include data on more than 700,000 loans that were modified between 2010 and 2015.

Fannie Mae said the data release will include loans that are current, delinquent, and liquidated post-modification, and is subject to the following limitations:

  • Modified between January 1, 2010 and December 31, 2015
  • No interest-only, ARMs, or government loans
  • No current forbearance
  • Must be whole loans owned 100% by Fannie Mae
  • Must be first-lien loans

According to Fannie Mae, the attributes that will be disclosed in the historical data release will be “generally comparable” to the information that is disclosed in the loan-level disclosure file for a single-family mortgage-backed security.

“The market for Agency RPL securities is relatively new, and we are providing this information so that the industry can get an in-depth view of the underlying loan performance,” said Bob Ives, head of retained portfolio asset management, Fannie Mae. “This historical data release should allow for a greater understanding of these loans and enable better modeling which in turn should foster greater liquidity for these securities.”

According to Fannie Mae, the data will be available for download for at least six months.

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