This paper incorporates house price risk and mortgages into a standard incomplete market (SIM) model. The model is calibrated to match U.S. data and accounts for non-targeted features of the data such as the distribution of down payments, the life-cycle profile of home ownership, and the mortgage default rate. The average coefficients that measure the agents' ability to self-insure against income shocks are similar to those of a SIM model without housing but housing increases the values of these coefficients for younger agents. The response of consumption to house price shocks is minimal. The introduction of minimum down payments or income garnishment benefits a majority of the population.

The authors develop an equilibrium valuation model that incorporates optimal default to show how mortgage yields and lender recovery rates on defaulted mortgages depend on initial loan-to-value (LTV) ratios. The analysis treats both the frictionless case and the case in which borrowers and lenders incur deadweight costs upon default. The model is calibrated using data on California mortgages. Given reasonable parameter values, the model does a surprisingly good job fitting the risk premium in the data for high LTV mortgages. Thus, from an ex ante perspective, the authors do not find strong evidence of systematic underpricing of default risk in the run-up to the housing market crisis. Charts and tables.

This interdisciplinary volume illuminates housing's impact on both wealth and community, and examines legal and policy responses to current challenges. Also available as Open Access.

An essential tool for any serious property investor who is wanting to stake their claim in the 5.4 trillion dollar residential property market. Finally, an ex-banker, mortgage broker and property millionaire's 'tell-all' step-by-step blueprint, explaining how to build, structure and automate a multi-million dollar residential investment property portfolio correctly, that has the potential to replace your income for life! International author, speaker, entrepreneur and property expert Konrad Bobilak reveals all in this insightful and valuable book. You'll learn:- How to potentially save thousands of dollars in interest payments, and pay off your current 30-year principle and interest mortgage in 15 years or less without making any additional payments.- How to correctly structure your first and subsequent investment property acquisitions, and why you should never cross-collateralise your properties.- The function and importance of LVR (loan to value ratio), LOC (line of credit facilities), LMI (lenders mortgage insurance), offset accounts, and terms and conditions of loans.- How to beat the banks at their own game by understanding the exact formulas that the banks use to work out how much money you can borrow; DSR (debt servicing ratio).- 12 powerful ways to supercharge your borrowing capacity that will enable you to buy more property than you ever thought possible.- 19 crucial questions that you must know in order to choose the best mortgage broker in the industry.- 12 most common and deadly property finance mistakes and how you can avoid them. This book will boost your financial literacy and intelligence, and take your property investing to a whole new level!

This article compares default patterns among prime and subprime mortgages, analyzes the factors correlated with default, and examines how forecasts of defaults are affected by alternative assumptions about trends in home prices. The authors find that extremely pessimistic forecasts of home price appreciation could have generated predictions of subprime defaults that were closer to the actual default experience for loans originated in 2006 and 2007. However, for prime loans one would have also had to anticipate that defaults would become much more sensitive to home prices. Tables and graphs.

This paper reviews recent research on mortgage default, focusing on the relationship of this research to the recent foreclosure crisis. Research on defaults was advanced both theoretically and empirically by the time the crisis began, but economists have moved the frontier further by improving data sources, building dynamic optimizing models of default, and explicitly addressing reverse causality between rising foreclosures and falling house prices. Mortgage defaults were also a key component of early research that pointed to subprime and other privately securitized mortgages as fundamental drivers of the housing boom, although this research has been criticized recently. Going forward, improvements to data and models will allow researchers to explore the central unsolved question in this area: why mortgage default is so rare, even for households with high levels of negative equity or financial distress.