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3040 Results

Short-Run and Long-Run News: Evidence from Giant Commodity Discoveries

Staff Working Paper 2025-24 Jean-Paul L’Huillier, Kirill Shakhnov, Laure Simon
Our understanding of news shocks is, to a large extent, based on studies that focus empirically on short-run news. This paper brings new insights by analyzing the effects of giant commodity discoveries, which typically materialize over the longer run.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, International topics JEL Code(s): E, E2, E23, F, F3, F4, Q, Q3, Q33
September 13, 2006

Weathering Economic Shocks: The Importance of Flexibility

Remarks Paul Jenkins Vancouver Board of Trade Vancouver, British Columbia
First, I should explain what I mean by flexibility. As most of you are surely aware, the Bank of Canada has been openly discussing the importance of promoting policies that support economic efficiency, including financial system efficiency. Efficiency refers to the allocation of scarce economic resources to the most productive uses, in a cost-effective way.

Adverse Selection with Heterogeneously Informed Agents

Staff Working Paper 2018-7 Mohammad Davoodalhosseini
A model of over-the-counter markets is proposed. Some asset buyers are informed in that they can identify high quality assets. Heterogeneous sellers with private information choose what type of buyers they want to trade with.

Identifying Nascent High-Growth Firms Using Machine Learning

Staff Working Paper 2023-53 Stéphanie 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 Research Topic(s): Econometric and statistical methods, Firm dynamics JEL Code(s): C, C5, C55, C8, C81, L, L2, L25

Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts

We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests.

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.

Cross-Border Bank Flows and Monetary Policy: Implications for Canada

Using the Bank for International Settlements (BIS) Locational Banking Statistics data on bilateral bank claims from 1995 to 2014, we analyze the impact of monetary policy on cross-border bank flows. We find that monetary policy in a source country is an important determinant of cross-border bank flows.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Monetary policy JEL Code(s): F, F3, F34, F36, G, G0, G01

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.
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