In mortgage default modeling, many of the key variables, such as loan age, FICO score, Debt-to-Income Ratio (DTI), and … Likelihood Estimator (QSC-MLE) technique that features an automatic spline knot selection to a mortgage default model. QSC-MLE is … effectively process large datasets, such as the mortgage loan data. In the model, the default event is defined as 120+ day …

This paper examines the impact of refinancing on mortgage defaults based on an empirical investigation of the Home …

This paper examines the impact of refinancing on mortgage defaults based on an empirical investigation of the Home …

risk in the mortgage market raises the default rate and spreads to the rest of the economy, creating a recession. In our … model two shocks are well suited to replicate the subprime crisis and the Great Recession: the mortgage risk shock and the …. This policy is successful in stabilizing the mortgage market and makes all agents better off. …

Much of the literature on the economics of mortgage markets has studied the FRM-ARM choice made by individual borrowers … of optimal risk-sharing in mortgage contracts. But since only a small literature has studied this question, more research …'s (1986a) model, using it to characterize optimal contracts in the absence of mortgage termination, and then exploring how …

defaulters have both negative equity and enough liquid or illiquid assets to make one month's mortgage payment. This finding …

Home appraisals are produced for millions of residential mortgage transactions each year, but appraised values are … institutional framework that governs mortgage lending lead to information loss in appraisals (that is, appraisals set equal to the … incidence of mortgage default at loan-to-value boundaries (notches) above which mortgage insurance rates increase. Appraisals …