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2191 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.

Anticipating changes in bank capital buffer requirements

Staff analytical note 2025-27 Josef Schroth
Time-varying capital buffer requirements are a powerful tool that allow bank regulators to avoid severe financial stress without the cost of imposing very high levels of capital. However, this tool is only effective if banks understand how it is used. I present a model that banks and financial market participants can use to anticipate how time-varying capital buffer requirements change over time.

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.

Risk Scenarios and Macroeconomic Forecasts

Staff working paper 2025-28 Kevin Moran, Dalibor Stevanovic, Stéphane Surprenant
We produce forecasts for four risk scenarios to consider their usefulness for monitoring the Canadian economy. We find a high-oil-price scenario benefits the economy, a US recession induces a slowdown, a tight labor market leads to price increases, and a restrictive monetary policy scenario increases the unemployment rate while lowering the inflation rate.

Optimal Monetary and Macroprudential Policies

Staff working paper 2021-21 Josef Schroth
Optimal coordination of monetary and macroprudential policies implies higher risk weights on (safe) bonds any time that banks are required to hold additional capital buffers. Coordination also implies a somewhat tighter monetary-policy stance whenever such capital buffers are released.

Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks

Staff working paper 2025-10 Zhentong Lu, Kenichi Shimizu
We propose a novel approach to estimating consumer demand for differentiated products. We eliminate the need for instrumental variables by assuming demand shocks are sparse. Our empirical applications reveal strong evidence of sparsity in real-world datasets.
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