May 8, 2019
Posts
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May 7, 2019
Financial System Survey Highlights—May 2019
This article presents the key results from the spring 2019 Bank of Canada Financial System Survey, conducted March 11 and March 29, 2019. This survey included a special question on cyber risk. -
Entrepreneurial Incentives and the Role of Initial Coin Offerings
Initial coin offerings (ICOs) are a new mode of financing start-ups that saw an explosion in popularity in 2017 but declined in popularity in the second half of 2018 as regulatory pressure, instances of fraud and reports of poor performance began to undermine their reputation. -
May 6, 2019
Risk Sharing, Flexibility and the Future of Mortgages
Governor Poloz talks about Canada’s housing market and how the mortgage market could evolve to give Canadians more choice, make the economy more flexible and lower the level of financial system risk. -
May 6, 2019
Poloz talks mortgages: Innovation could improve flexibility
Stephen S. Poloz, Governor of the Bank of Canada, speaks before the Canadian Credit Union Association and the Winnipeg Chamber of Commerce. -
May 6, 2019
Canada’s mortgage market should evolve to offer more choice with less risk, Bank of Canada Governor Poloz says
Canada’s mortgage market should evolve in a way that gives Canadians more choice and helps the economy be more flexible, while lowering the level of risk in the system, Bank of Canada Governor Stephen S. Poloz said today. -
Estimating the Effect of Exchange Rate Changes on Total Exports
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. -
Assessing Global Potential Output Growth: April 2019
This note presents the updated estimates of potential output growth for the global economy through 2021. Global potential output is expected to grow by 3.3 per cent per year over the projection horizon. -
Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects
Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals. -