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3045 Results

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.

Narrative-Driven Fluctuations in Sentiment: Evidence Linking Traditional and Social Media

Staff Working Paper 2023-23 Alistair Macaulay, Wenting Song
News media present competing interpretations of what breaking news implies for the macroeconomy. Recent examples include news reporting on high inflation and yield curve inversions. Do these narratives shape macroeconomic sentiment? In this paper, we highlight the importance of narratives using evidence linking traditional media and social media.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Inflation and prices, Monetary policy JEL Code(s): D, D8, D84, E, E3, E32, E4, E43, E44, E5, G, G1

Payment Coordination and Liquidity Efficiency in the New Canadian Wholesale Payments System

Staff Discussion Paper 2022-3 Francisco Rivadeneyra, Nellie Zhang
We study the impact of the Bank of Canada’s choice of settlement mechanism in Lynx on participant behaviors, liquidity usage, payment delays and the overall operational efficiency of the new system.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Payment clearing and settlement systems JEL Code(s): C, C5, E, E4, E42, E5, E58
August 15, 2013

Big Data Analysis: The Next Frontier

The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation.

The Distributional Origins of the Canada-US GDP and Labour Productivity Gaps

Staff Working Paper 2024-49 James (Jim) C. MacGee, Joel Rodrigue
We find the top 10% of the income distribution accounts for three-quarters of the gap in GDP per adult between Canada and the United States. The large gaps in income for high-income earners help distinguish between alternative explanations of this persistent gap in GDP per adult.
Content Type(s): Staff research, Staff working papers Research Topic(s): Productivity JEL Code(s): D, D3, D31, E, E2, E24, J, J2, J24, J6, J61, N, N1, N12, O, O4, O47, O5, O51

Volatility and Liquidity Costs

Staff Working Paper 2013-29 Selma Chaker
Observed high-frequency prices are contaminated with liquidity costs or market microstructure noise. Using such data, we derive a new asset return variance estimator inspired by the market microstructure literature to explicitly model the noise and remove it from observed returns before estimating their variance.

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.
Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Monetary policy implementation JEL Code(s): D, D5, D52, E, E5, E58, G, G2, G21

Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects

Staff Working Paper 2019-16 Kerem Tuzcuoglu
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.
October 8, 2009

Central Banking in Canada: Meeting Today's and Tomorrow's Challenges

Remarks Paul Jenkins Vancouver Board of Trade Vancouver, British Columbia
Indeed, the global financial crisis of the past two years has presented unique, stressful challenges that have forced us all to assess what has worked well and what needs to change. Today, I would like to review some of the critical thinking around these issues, primarily from the perspective of our work at the Bank of Canada.
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