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3045 Results

Reforming the IMF: Lessons from Modern Central Banking

Staff Discussion Paper 2008-6 Philipp Maier, Eric Santor
The authors examine the institutional and governance framework of modern central banks to determine whether there are lessons that can be applied to the International Monetary Fund's (IMF's) institutional framework. Such a comparison is appealing for two reasons. First, both central banks and the IMF carry out tasks that can be described as "delegated responsibilities." […]
Content Type(s): Staff research, Staff discussion papers Research Topic(s): International topics JEL Code(s): F, F3
March 9, 2010

Bank of Canada Review - Spring 2010

Spring 2010
Discussion of recent research into three ways that oil-futures prices can improve our understanding of current conditions and future prospects in the global market for crude oil; inflation expectations and the conduct of monetary policy: a review of recent evidence and experience; examination of the influence of various forms of economic uncertainty on the performance of different classes of monetary policy rules; how, when, and why such revisions to many important economic variables occur.

The BoC-BoE Sovereign Default Database: What’s New in 2019?

Staff Working Paper 2019-39 David Beers, Patrisha de Leon-Manlagnit
Until recently, few efforts have been made to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada (BoC) developed a comprehensive database of sovereign defaults that is posted on its website and updated in partnership with the Bank of England (BoE).

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.

Quantile VARs and Macroeconomic Risk Forecasting

Staff Working Paper 2025-4 Stéphane Surprenant
This paper provides an extensive evaluation of the performance of quantile vector autoregression (QVAR) to forecast macroeconomic risk. Generally, QVAR outperforms standard benchmark models. Moreover, QVAR and QVAR augmented with factors perform equally well. Both are adequate for modeling macroeconomic risks.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles JEL Code(s): C, C5, C53, C55, E, E3, E37

Decomposing U.S. Nominal Interest Rates into Expected Inflation and Ex Ante Real Interest Rates Using Structural VAR Methodology

Staff Working Paper 1996-2 Pierre St-Amant
In this paper, the author uses structural vector autoregression methodology to decompose U.S. nominal interest rates into an expected inflation component and an ex ante real interest rate component. He identifies inflation expectations and ex ante real interest rate shocks by assuming that nominal interest rates and inflation expectations move one-for-one in the long-run—they are cointegrated (1,1)—and that the real interest rate is stationary.
Content Type(s): Staff research, Staff working papers Research Topic(s): Interest rates, International topics JEL Code(s): E, E3, E31, E4, E43
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