The author proposes a micro-founded framework that incorporates an active banking sector into a dynamic stochastic general-equilibrium model with a financial accelerator.
This paper uses a small-open economy model for the Canadian economy to examine the optimal Taylor-type monetary policy rule that stabilizes output and inflation in an environment where endogenous boom-bust cycles in house prices can occur.
Understanding the nature of credit risk has important implications for financial stability. Since authorities – notably, central banks – focus on risks that have systemic implications, it is crucial to develop ways to measure these risks.
Using Bayesian methods, we estimate a small open economy model in which consumers face limits to credit determined by the value of their housing stock. The purpose of this paper is to quantify the role of collateralized household debt in the Canadian business cycle.
This paper examines the relationship between aggregate consumer spending and credit availability in the United States. The author finds that consumer spending falls (rises) in response to a reduction (increase) in credit availability.
The authors use microdata from the 1999 and 2005 Surveys of Financial Security to identify changes in household debt, and discuss their potential implications for monetary policy and financial stability. They document an increase in the debt-income ratio, which rose from 0.75 to 0.95, on average.
This paper introduces heterogeneous beliefs among households in a small open economy model for the Canadian economy. The model suggests that simultaneous boom-bust cycles in house prices, output, investment, consumption and hours worked emerge when credit-constrained mortgage borrowers expect that future house prices will rise and this expectation is neither shared by savers nor realized ex-post.
Following the seminal contribution of Kiyotaki and Moore (1997), the role of collateral constraints for business cycle fluctuations has been highlighted by several authors and collateralized debt is becoming a popular feature of business cycle models.
Historical narratives typically associate financial crises with credit expansions and asset price misalignments. The question is whether some combination of measures of credit and asset prices can be used to predict these events.