This paper examines the contributions of population aging, mortgage innovation and historically low interest rates to the sharp rise in U.S. house prices and mortgage debt between 1994 and 2005.
Using BoC-GEM-Fin, a large-scale DSGE model with real, nominal and financial frictions featuring a banking sector, we explore the macroeconomic implications of various types of countercyclical bank capital regulations. Results suggest that countercyclical capital requirements have a significant stabilizing effect on key macroeconomic variables, but mostly after financial shocks.
Consider the monetary model of Lagos and Wright (JPE 2005) but with general preferences and general production. I show that preferences satisfying UXXUHH – (UXH)2 = 0 is a sufficient condition for the existence and uniqueness of monetary equilibrium with degenerate money distribution.
This paper provides a framework to compare linked and unlinked CCP configurations in terms of total netting achieved by market participants and the total system default exposures that exist between participants and CCPs.
This paper presents a general equilibrium model with endogenous collateral constraints to study the relationship between financial development and business cycle fluctuations in a cross-section of economies with different sizes of their financial sector.
Many studies in macroeconomics argue that financial frictions do not amplify the impacts of real shocks. This finding is based on models without endogenous default on loans and bank capital. Using a model featuring endogenous interactions between firm default and bank capital, this paper revisits the propagation mechanisms of real and financial shocks.
This paper examines the relationship between house prices and consumption, through the use of debt. Using unique Canadian household-level data that reports the uses of debt, we begin by looking at the relationship between house prices and debt.
We study the cyclical properties of sales, regular price changes and average prices paid by consumers (“effective” prices) using data on prices and quantities sold for numerous retailers across many U.S. metropolitan areas.