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3037 Results

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

An Alternative Estimate of Canadian Potential Output: The Multivariate State-Space Framework

Staff Discussion Paper 2018-14 Lise Pichette, Maria Bernier, Marie-Noëlle Robitaille
In this paper, we extend the state-space methodology proposed by Blagrave et al. (2015) and decompose Canadian potential output into trend labour productivity and trend labour input. As in Blagrave et al. (2015), we include output growth and inflation expectations from consensus forecasts to help refine our estimates.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Economic models, Potential output JEL Code(s): C, C5, E, E0, E5

Identification and Estimation of Risk Aversion in First-Price Auctions with Unobserved Auction Heterogeneity

Staff Working Paper 2016-23 Serafin Grundl, Yu Zhu
This paper shows point identification in first-price auction models with risk aversion and unobserved auction heterogeneity by exploiting multiple bids from each auction and variation in the number of bidders. The required exclusion restriction is shown to be consistent with a large class of entry models.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C5, C57, D, D4, D44, L, L0, L00

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.

The Endogenous Relative Price of Investment

Staff Working Paper 2015-30 Joel Wagner
This paper takes a full-information model-based approach to evaluate the link between investment-specific technology and the inverse of the relative price of investment. The two-sector model presented includes monopolistic competition where firms can vary the markup charged on their product depending on the number of firms competing.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles JEL Code(s): E, E3, E32, L, L1, L11, L16

What COVID-19 revealed about the resilience of bond funds

Staff Analytical Note 2020-18 Guillaume Ouellet Leblanc, Ryan Shotlander
The liquidity management strategies of fund managers, supported by policy measures, have helped bond funds limit the increase in redemptions caused by COVID 19. This avoided further deterioration in liquidity in bond markets. Nevertheless, these funds were left with lower cash buffers, which could make them more vulnerable to additional large redemptions.
Content Type(s): Staff research, Staff analytical notes Research Topic(s): Financial markets, Financial stability JEL Code(s): G, G1, G2, G20, G23

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.

Technological Progress and Monetary Policy: Managing the Fourth Industrial Revolution

Staff Discussion Paper 2019-11 Stephen S. Poloz
This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the “fourth industrial revolution.”

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.
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