Loan Think

As lawmakers tackle Fannie Mae and Freddie Mac, any revamp must lessen risk to the mortgage system and U.S. taxpayers.

Many mortgage servicers are still relying on spreadsheets to manage their tasks, rather than looking to automation as a problem solver.

For the mortgage industry, the question of whether the Fed can control its target range for interest rates is crucial for managing volatility.

The ways in which hedging can be improved by a digital process are more often than not presumed versus proven by industry practice.

Newly adopted municipal real estate transfer taxes have the potential to be costly to lenders if not disclosed properly.

The Trump administration's thinking on housing is filled with conflicts and contradictions, a quilt work of at times irrational proposals that seem to be at odds with the real world of mortgage finance.

Ginnie Mae's stress testing model was based on large issuers, and does not appear to adequately reflect important qualitative differences between larger and smaller issuers.

The most successful mortgage originators will use artificial intelligence and machine learning to enhance and enable their people to have better, more meaningful engagements with customers.

Self-service technology gives borrowers the control, speed and convenience they desire, while providing lenders with higher origination volume.

The FHFA can go beyond a recent Trump administration report to level the playing field between the private sector and Fannie Mae and Freddie Mac.