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433 Results

The neutral rate in Canada: 2020 update

Staff analytical note 2020-24 Dmitry Matveev, Julien McDonald-Guimond, Rodrigo Sekkel
The neutral rate of interest is important for central banks because it helps measure the stance of monetary policy. We present updated estimates of the neutral rate in Canada using the most recent data. We expect the COVID-19 pandemic to significantly affect the fundamental drivers of the Canadian neutral rate.

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.

The New Benchmark for Forecasts of the Real Price of Crude Oil

How can we assess the quality of a forecast? We propose a new benchmark to evaluate forecasts of temporally aggregated series and show that the real price of oil is more difficult to predict than we thought.

Why Do Central Banks Make Public Announcements of Open Market Operations?

Staff working paper 2020-35 Narayan Bulusu
Central banks communicate the results of open market operations. This helps participants in financial markets more accurately estimate the prevailing demand and supply conditions in the market for overnight loans.

Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning

Staff working paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez
Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash.

Sample Calibration of the Online CFM Survey

Technical report No. 118 Marie-Hélène Felt, David Laferrière
The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.

Maturity Composition and the Demand for Government Debt

Staff working paper 2020-29 Jason Allen, Jakub Kastl, Milena Wittwer
The main objectives of debt management are to raise stable and low-cost funding to meet the government’s financial needs and to maintain a well-functioning market for government securities.

Non-competing Data Intermediaries

Staff working paper 2020-28 Shota Ichihashi
I study a model of competing data intermediaries (e.g., online platforms and data brokers) that collect personal data from consumers and sell it to downstream firms.
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