Recorded: March 31 | 1:00 p.m. ET

Traditional statistical models apply a single set of coefficients by pooling a large dataset or for specific cohorts.

Hierarchical models learn from feature behavior across dimensions or timeframes.

Suhrud Dagli and Jing Liu host an informative workshop applying hierarchical models to a variety of mortgage and structured finance use cases, including:

  • Changes in beta and covariance of portfolios across time
  • Loan performance across geographies and history – e.g., combining credit performance data from 2008 with unemployment-driven credit issues in 2020.
  • Issuer-level prepayment performance

Suhrud Dagli

Co-founder and Chief Innovation Officer, RiskSpan

Jing Liu

Model Developer, RiskSpan