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1186 Results

Total factor productivity growth projection for Canada: A sectoral approach

Staff analytical note 2024-12 Dany Brouillette, Tessa Devakos, Raven Wheesk
We propose a tool that decomposes TFP growth into sectoral contributions. The analysis incorporates three structural factors—digitalization, aging and climate change policies—and measures their contributions. Overall, we expect that aggregate TFP growth will slow down in the 2020s below both its historical average and the average from the 2010s.

Are Long-Horizon Expectations (De-)Stabilizing? Theory and Experiments

Staff working paper 2019-27 George Evans, Cars Hommes, Isabelle Salle, Bruce McGough
Most models in finance assume that agents make trading plans over the infinite future. We consider instead that they are boundedly rational and may only form forecasts over a limited horizon.
June 8, 2017

Using Market-Based Indicators to Assess Banking System Resilience

This report reviews the use of quantitative tools to gauge market participants’ assessment of banking system resilience. These measures complement traditional balance-sheet metrics and suggest that markets consider large Canadian banks to be better placed to weather adverse shocks than banks in other advanced economies. Compared with regulatory capital ratios, however, the measures suggest less improvement in banking system resilience since the pre-crisis period.
Content Type(s): Publications, Financial System Review articles JEL Code(s): G, G0, G01, G1, G10, G2, G21

Perceived interconnections between Canadian banks and non-bank financial intermediaries under stress

Staff analytical note 2025-26 Javier Ojea Ferreiro
I study the links between Canadian banks and non-bank financial intermediaries (NBFIs) by observing co-movements in stock prices. Perceived interconnections increased before the COVID-19 pandemic but have since stabilized, with the strongest ties seen between large banks and NBFIs. The secured credit line extended to Home Trust, a non-bank mortgage lender that experienced severe funding stress in 2017, significantly reduced banks' risk exposure to NBFIs during this episode.

On Causal Networks of Financial Firms: Structural Identification via Non-parametric Heteroskedasticity

Staff working paper 2020-42 Ruben Hipp
Banks’ business interactions create a network of relationships that are hidden in the correlations of bank stock returns. But for policy interventions, we need causality to understand how the network changes. Thus, this paper looks for the causal network anticipated by investors.
August 15, 2013

The Accuracy of Short-Term Forecast Combinations

This article examines whether combining forecasts of real GDP from different models can improve forecast accuracy and considers which model-combination methods provide the best performance. In line with previous literature, the authors find that combining forecasts generally improves forecast accuracy relative to various benchmarks. Unlike several previous studies, however, they find that, rather than assigning equal weights to each model, unequal weighting based on the past forecast performance of models tends to improve accuracy when forecasts across models are substantially different.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C5, C52, C53, E, E3, E37
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