Staff Working Paper No. 904
By Marc Hinterschweiger, Kunal Khairnar, Tolga Ozden and Tom Stratton
We develop a two-sector DSGE model with a detailed banking sector along the lines of Clerc et al (2015) to assess the impact of macroprudential tools (minimum, countercyclical and sectoral capital requirements, as well as a loan-to-value limit) on key macroeconomic and financial variables. The banking sector features residential mortgages and corporate lending subject to staggered interest rates à la Calvo (1983), which is motivated by the sluggish movement of lending rates due to fixed interest rate loan contracts. Other distortions in the model include limited liability, bankruptcy costs and penalty costs for deviations from regulatory capital. We estimate the model using Bayesian methods based on quarterly UK data over 1998 Q1–2016 Q2. Our contributions are threefold. We show that: (i) co-ordination of macroprudential tools may have a welfare-improving effect, (ii) macroprudential tools would have improved some macroeconomic indicators but, within our model, not have prevented the Global Financial Crisis, (iii) staggered interest rates may alter the transmission of macroprudential tools that work through interest rates.
Macroprudential policy interactions in a sectoral DSGE model with staggered interest rates
