The 2018 HMDA aggregate data was released in early September – much later than originally planned. It is interesting to note that the data has been published in two separate views – snapshot data and dynamic data. The snapshot data is as of August 31, 2019 while the dynamic data is updated every Monday to reflect the most currently submitted 2018 HMDA data. The underlying question is which dataset will examiners use when comparing lender performance to peers?

New data points and mid-year rule changes created significant challenges for lenders, their vendors, and regulators. Implementation and testing of systems and processes were continuous throughout 2018 and well into 2019. Many questions went unanswered, resulting in confusion that became more apparent with the data submissions. It is anticipated that most issues have been addressed and that 2019 data submitted in March 2020 will not repeat these issues and the aggregate data will be released much earlier next year.

Approximately 5,400 lenders reported HMDA data in 2018, but only 33 comments have been submitted to the ANPR which addresses HMDA data collection and only 372 comments have been submitted to the NPRM which changes the thresholds for reporting. It is definitely time to get your comments in and ensure the industry is heard when it comes to the regulatory burden imposed by HMDA data collection and reporting.

Geocoding loans has become a fairly routine process in mortgage lending. It’s easy to type a single address into a government website and obtain a state code, county code, MSA/MD code and census tract code. Geocoding information is critical to report for the Home Mortgage Disclosure Act (HMDA) and the Community Reinvestment Act (CRA). Geocoding also allows lenders to determine if a loan is located in a low- to moderate-income tract, which can enable originators to ask for higher premium pricing when selling their loans on the secondary market. In addition, geocoding can provide a host of other useful demographic information. However, there are limitations to some geocoding systems, many of which can slow your operations and cause accuracy issues.

Over the last couple of years, most enforcement actions by the Bureau have not focused on mortgage originators. However, on June 5th, the CFPB levied a $1.75 million fine against one of the largest mortgage lenders in the country for HMDA violations. This is the exact amount that the CFPB fined Nationstar in 2017 for its HMDA violations — which was the largest HMDA fine ever issued by the CFPB at the time.

The Office of the Comptroller of the Currency (OCC) recently published its Semiannual Risk Perspective for Spring 2019, which provides a detailed analysis of the federal banking system and key risks facing banks. Overall, the OCC reported that the banking system is stable. However, some banks have increased their risk from previous years.

When Unfair, Deceptive, or Abusive Acts and Practices (UDAAP) first became effective after Dodd-Frank, there were many enforcement actions taken against prominent financial institutions, most notably in 2017. However, the regulation has long been criticized for being too open to interpretation.

HMDA data provides significant insight into your competition. With 85 public data fields, institutions can better understand their competition overall and evaluate individual competitor’s lending practices to identify potential opportunities. Dive into the data and discover . . .

The TILA-RESPA Integrated Disclosure, rule known as TRID, was created to better inform borrowers about mortgage costs before their closing date. The rule requires timely and accurate delivery of the Loan Estimate (LE) and Closing Disclosure (CD) forms to borrowers, which helps to highlight the differences between the estimated and closing amounts. The initial implementation of the rule required vendors to make significant changes to their systems and continues to challenge some lenders due to the technical nature of the rule. Recently, the Federal Reserve published its observations of common TRID violations it has found in its latest Consumer Compliance Outlook document.

Unfortunately, fraud continues to grow in the mortgage industry year over year. While we've already covered 5 common types of mortgage fraud schemes, one type continues to grow in the number of occurrences: Wire fraud is estimated to cost $30 to $50 billion annually (Source) and its complexity continues to make it difficult to curtail.