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3160 Results

November 11, 1998

A primer on the implementation of monetary policy in the LVTS environment

The author summarizes the objectives and key elements of the framework that the Bank will use to implement monetary policy under the new payments system. The article includes a comparison of the key features of the pre-LVTS framework with that to be used in the LVTS environment. It also features a glossary of terms with respect to the Bank's monetary policy operations.

The Formation of House Price Expectations in Canada: Evidence from a Randomized Information Experiment

Staff analytical note 2019-24 Marc-André Gosselin, Mikael Khan, Matthieu Verstraete
We conduct a randomized information experiment leveraging the Canadian Survey of Consumer Expectations. We provide causal evidence that respondents revise both their short- and medium-term expectations of future house price growth in a way that is consistent with observed short-term momentum in house prices. However, empirically, house price growth tends to revert to its mean in the medium term.
April 26, 2016

A New Balance Point: Global Trade, Productivity and Economic Growth

Remarks Stephen S. Poloz Investment Industry Association of Canada and Securities Industry and Financial Markets Association New York, New York
Governor Stephen S. Poloz talks about slowing international trade growth and the implications for productivity and the global economy.

Stablecoin Assessment Framework

Staff discussion paper 2021-6 Alejandro García, Bena Lands, Dennis Yanchus
We offer relevant authorities a three-step assessment framework they can use to understand, identify and quantify the risks associated with stablecoin and other cryptocurrency arrangements.

Noisy Monetary Policy

Staff working paper 2018-23 Tatjana Dahlhaus, Luca Gambetti
We introduce limited information in monetary policy. Agents receive signals from the central bank revealing new information (“news") about the future evolution of the policy rate before changes in the rate actually take place. However, the signal is disturbed by noise.

Seasonal Adjustment of Weekly Data

Staff discussion paper 2024-17 Jeffrey Mollins, Rachit Lumb
The industry standard for seasonally adjusting data, X-13ARIMA-SEATS, is not suitable for high-frequency data. We summarize and assess several of the most popular seasonal adjustment methods for weekly data given the increased availability and promise of non-traditional data at higher frequencies.
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