ElasticSearch Score: 3.7239072
ElasticSearch Score: 3.7225583
We consider structural vector autoregressions that are identified through stochastic volatility. Our analysis focuses on whether a particular structural shock can be identified through heteroskedasticity without imposing any sign or exclusion restrictions.
ElasticSearch Score: 3.5159872
July 12, 2017
Growth in the Canadian economy is projected to reach 2.8 per cent this year before slowing to 2.0 per cent next year and 1.6 per cent in 2019.
ElasticSearch Score: 3.40358
There appears to be a disconnect between the importance of the zero bound on nominal interest rates in the real-world and predictions from quantitative DSGE models. Recent economic events have reinforced the relevance of the zero bound for monetary policy whereas quantitative models suggest that the zero bound does not constrain (optimal) monetary policy.
ElasticSearch Score: 3.3984716
We construct a multi-country affine term structure model that contains unspanned macroeconomic and foreign exchange risks. The canonical version of the model is derived and is shown to be easy to estimate.
ElasticSearch Score: 3.3791242
The authors conduct a counterfactual simulation of the proposed rules under the new Basel Capital Accord (Basel II), including the revised treatment of expected and unexpected credit losses proposed by the Basel Committee in October 2003.
ElasticSearch Score: 3.3542345
October 24, 2018
The Bank projects that the Canadian economy will continue to grow in line with its potential through 2020.
ElasticSearch Score: 3.351633
This paper shows that real effective exchange rate (REER) regressions, the standard approach for estimating the response of aggregate exports to exchange rate changes, imply biased estimates of the underlying elasticities. We provide a new aggregate regression specification that is consistent with bilateral trade flows micro-founded by the gravity equation.
ElasticSearch Score: 3.3268032
January 21, 2015
Economic growth in Canada is expected to average 2.1 per cent in 2015 and 2.4 per cent in 2016, with a return to full capacity around the end of 2016.
ElasticSearch Score: 3.2920933
The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis.