October 25, 2023 Bank of Canada Media Interview – Zone économie Nicolas Vincent, Deputy Governor of the Bank of Canada, will give an interview to Radio-Canada’s Gérald Fillion. Content Type(s): Press, Media advisories
October 25, 2023 Bank of Canada Media Interview – CBC Radio Tiff Macklem, Governor of the Bank of Canada, was interviewed on CBC’s radio show The Current. The program airs tomorrow morning and begins at 8:30 (Eastern Time). Content Type(s): Press, Media advisories
October 25, 2023 Monetary Policy Report Press Conference Opening Statement Opening statement Tiff Macklem Ottawa, Ontario Governor Tiff Macklem discusses key issues involved in the Governing Council’s deliberations about the policy rate decision and the MPR. Content Type(s): Press, Speeches and appearances, Opening statements
October 25, 2023 Bank of Canada maintains policy rate, continues quantitative tightening Media Relations Ottawa, Ontario The Bank of Canada today held its target for the overnight rate at 5%, with the Bank Rate at 5¼% and the deposit rate at 5%. Content Type(s): Press, Press releases
October 25, 2023 Monetary Policy Report – October 2023 Higher interest rates are working to ease price pressures in Canada and inflation is coming down, though progress to the 2% target is slow. The Bank projects that inflation will stay around 3½% until the middle of 2024, returning to target in 2025. Content Type(s): Publications, Monetary Policy Report
October 25, 2023 Bank of Canada interest rate announcement and release of the Monetary Policy Report On Wednesday, October 25, 2023, the Bank of Canada will announce its decision on the target for the overnight rate. A press release will provide a brief explanation of the decision. The Bank will also publish its quarterly Monetary Policy Report (MPR) at the same time as the rate decision. Content Type(s): Press, Media advisories
October 23, 2023 CARR Meeting (October 23, 2023) Content Type(s): Meetings Source(s): Canadian Alternative Reference Rate Working Group
Identifying Nascent High-Growth Firms Using Machine Learning Staff Working Paper 2023-53 Stephanie Houle, Ryan Macdonald Firms that grow rapidly have the potential to usher in new innovations, products or processes (Kogan et al. 2017), become superstar firms (Haltiwanger et al. 2013) and impact the aggregate labour share (Autor et al. 2020; De Loecker et al. 2020). We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Firm dynamics JEL Code(s): C, C5, C55, C8, C81, L, L2, L25