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81 Results

The (Mis)Allocation of Corporate News

Staff Working Paper 2024-47 Xing Guo, Alistair Macaulay, Wenting Song
We study how the distribution of information supply by the news media affects the macroeconomy. We find that media coverage focuses particularly on the largest firms, and that firms’ equity financing and investment increase after media coverage. But these equity and investment responses are largest among small, rarely covered firms. Our quantitative studies highlight that the aggregate effects of media coverage depend crucially on how that coverage is allocated.
Content Type(s): Staff research, Staff working papers Topic(s): Financial markets, Firm dynamics JEL Code(s): D, D2, D22, D6, D61, L, L1, L11, L2, L20

Monetary Policy Transmission to Small Business Loan Performance: Evidence from Loan-Level Data

Staff Working Paper 2024-41 Rodrigo Sekkel, Tamon Takamura, Yaz Terajima
We analyze the dynamic and heterogeneous responses of small-business loan performance to a monetary-policy shock using loan-level data in Canada. We find evidence of monetary policy transmission through the cash-flow channel and the aggregate demand channel as well as some, though limited, impact of collateral to discipline loan repayment.
Content Type(s): Staff research, Staff working papers Topic(s): Firm dynamics, Monetary policy transmission JEL Code(s): C, C3, C32, E, E1, E17, E3, E37, E5, E52

An Anatomy of Firms’ Political Speech

Staff Working Paper 2024-37 Pablo Ottonello, Wenting Song, Sebastian Sotelo
We study the distribution of political speech across U.S. firms. We develop a measure of political engagement based on firms’ communications (earning calls, regulatory filings, and social media) by training a large language model to identify statements that contain political opinions. Using these data, we document five facts about firms’ political engagement.

Markups and Inflation in Oligopolistic Markets: Evidence from Wholesale Price Data

Staff Working Paper 2024-20 Patrick Alexander, Lu Han, Oleksiy Kryvtsov, Ben Tomlin
We study how the interaction of market power and nominal price rigidity influences inflation dynamics. We find that pass-through declines with price stickiness when markets are concentrated, which implies a lower slope of the New Keynesian Phillips curve.

Survey of Indigenous Firms: A Snapshot of Wages, Prices and Financing in the Indigenous Business Sector in Canada

Staff Discussion Paper 2024-4 Calista Cheung, James Fudurich, Janki Shah, Farrukh Suvankulov
What sources of financing do Indigenous-owned businesses in Canada use, and what are their expectations about prices, wages and inflation? We find Indigenous-owned firms are significantly less reliant on financial institutions as sources of financing compared with non-Indigenous firms. We also find Indigenous-owned firms have higher inflation expectations and weaker wage-growth expectations.
Content Type(s): Staff research, Staff discussion papers Topic(s): Firm dynamics JEL Code(s): C, C8, C83, D, D0, G, G3, G38, J, J1, J15

Pricing behaviour and inflation during the COVID-19 pandemic: Insights from consumer prices microdata

Staff Analytical Note 2024-6 Olga Bilyk, Mikael Khan, Olena Kostyshyna
Using the microdata underlying the Canadian consumer price index, we study how often and by how much firms changed their prices during the COVID-19 pandemic. We find that the surge in inflation was mainly associated with retailers raising prices much more often than before. We also find that more recently, corporate price-setting behaviour appears to be approaching pre-pandemic norms.
November 9, 2023

Getting used to higher interest rates

Speech summary Carolyn Rogers Advocis Vancouver Vancouver, British Columbia
Senior Deputy Governor Carolyn Rogers talks about why interest rates could settle at a higher level than Canadians are used to and why preparing early for that possible outcome is important.

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.
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