...J. Vincent Eagam; Vijaya Subrahmanyam Explains the strengths and weaknesses of neural networks and uses them to analyse racial patterns in 1994 mortgage (conventional and FHA) data for the city of Atlanta (USA). Admits the difficulty of interpreting the results of neural network models but suggests...

...Henry Buist; Tyler T. Yang Outlines previous research relevant to the risks involved in residential mortgages and suggests some reasons for the gap between theory and market practice. Develops a model which adds household income, ability to pay problems and mortgage underwriting constraints...

...Jian‐Guo Liu; Eugene Xu Notes the increasing importance of option‐adjusted spread analysis for pricing in the mortgage‐backed securities market and develops a partial differentiation equation method (PDE) for calculation, as an alternative to the Monte Carlo method. Discusses the mathematical...