We apply two machine learning algorithms to forecast monthly growth of house prices and existing homes sales in Canada. Although the algorithms can sometimes outperform a linear model, the improvement in forecast accuracy is not always statistically significant.
We measure the contribution to inflation from the growth in markups of Canadian firms. The dynamics of inflation and markups suggest that changes in markups could account for less than one-tenth of inflation in 2021. Further, they suggest that peak inflation was driven primarily by changes in the costs of firms.
We find that prices and costs for consumer-oriented firms moved roughly one-for-one during the COVID-19 pandemic. This means firms fully passed rising costs through to the prices they charged. However, our results are suggestive, given data limitations and the uncertainty associated with estimating markups.
We study the effects of financial frictions on firm exit when firms face large liquidity shocks. We develop a simple model of firm cost-minimization that introduces a financial friction that limits firms’ borrowing capacity to smooth temporary shocks to liquidity.
Canadian firms’ expectations for high inflation may be influencing their price setting, supporting strong price growth and delays in the transmission of monetary policy. Using data from the Business Outlook Survey, we investigate the reasons behind widespread price growth seen in Canada in 2021 and early 2022.
The rise in digital payment innovations has spurred a discussion about the future of cash at the point of sale. The Bank conducted the 2021–22 Merchant Acceptance Survey Pilot Study to study trends in merchant cash acceptance and monitor conditions for the potential issuance of a central bank digital currency.