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2121 Results

November 23, 2004

Real Return Bonds: Monetary Policy Credibility and Short-Term Inflation Forecasting

The break-even inflation rate (BEIR) is calculated by comparing the yields on conventional and Real Return Bonds. Defined as the average rate of inflation that equates the expected returns on these two bonds, the BEIR has the potential to contain useful information about long-run inflation expectations. Yet the BEIR has been higher, on average, and more variable than survey measures of inflation expectations, which may be explained by the effects of premiums and distortions embedded in the BEIR. Because of the difficulty in accounting for these distortions, the BEIR should not be given a large weight as a measure of long-run inflation expectations at this time. However, as the Real Return Bond market continues to develop, the BEIR should become a more useful indicator of inflation expectations. At present, it demonstrates no clear advantage over survey measures and even past inflation rates in forecasting near-term inflation.

Monetary Policy Transmission to Small Business Loan Performance: Evidence from Loan-Level Data

Staff working paper 2024-41 Rodrigo Sekkel, Tamon Takamura, Yaz Terajima
We analyze the dynamic and heterogeneous responses of small-business loan performance to a monetary-policy shock using loan-level data in Canada. We find evidence of monetary policy transmission through the cash-flow channel and the aggregate demand channel as well as some, though limited, impact of collateral to discipline loan repayment.
March 25, 2022

A world of difference: Households, the pandemic and monetary policy

Remarks (delivered virtually) Sharon Kozicki Federal Reserve Bank of San Francisco Macroeconomics and Monetary Policy Conference San Francisco, California
Bank of Canada Deputy Governor Sharon Kozicki discusses how differences among households affect economic outcomes, how shocks can have important uneven effects across households, and why these things matter for monetary policy.

Challenges in Implementing Worst-Case Analysis

Staff working paper 2018-47 Jon Danielsson, Lerby Ergun, Casper G. de Vries
Worst-case analysis is used among financial regulators in the wake of the recent financial crisis to gauge the tail risk. We provide insight into worst-case analysis and provide guidance on how to estimate it. We derive the bias for the non-parametric heavy-tailed order statistics and contrast it with the semi-parametric extreme value theory (EVT) approach.
November 11, 2008

The Market Impact of Forward-Looking Policy Statements: Transparency vs. Predictability

Central banks continuously strive to improve how they communicate to financial markets and the public in order to increase transparency. For this reason, many central banks have begun to include guidance on the policy rate in the form of forward-looking statements in their communications. This article examines the debate over the usefulness of providing such statements from both theoretical and empirical standpoints. The evidence presented here suggests that the use of forward-looking statements in Bank of Canada communications has made the Bank more predictable, but not necessarily more transparent.

Downward Nominal Wage Rigidity in Canada: Evidence Against a “Greasing Effect”

Staff working paper 2017-31 Joel Wagner
The existence of downward nominal wage rigidity (DNWR) has often been used to justify a positive inflation target. It is traditionally assumed that positive inflation could “grease the wheels” of the labour market by putting downward pressure on real wages, easing labour market adjustments during a recession.

Dating Systemic Financial Stress Episodes in the EU Countries

Staff working paper 2016-11 Benjamin Klaus, Tuomas Peltonen, Thibaut Duprey
This paper introduces a new methodology to date systemic financial stress events in a transparent, objective and reproducible way. The financial cycle is captured by a monthly country-specific financial stress index.

Parallel Tempering for DSGE Estimation

Staff working paper 2024-13 Joshua Brault
I develop a population-based Markov chain Monte Carlo algorithm known as parallel tempering to estimate dynamic stochastic general equilibrium models. Parallel tempering approximates the posterior distribution of interest using a family of Markov chains with tempered posteriors.

The Side Effects of Safe Asset Creation

Staff working paper 2021-34 Sushant Acharya, Keshav Dogra
The secular decline in real interest rates has created a challenge for monetary policy, now confronting the zero lower bound more often. An increase in the supply of safe assets reduces downward pressure on the natural interest rate. This allows monetary policy to reach price stability and full employment, but not without cost—permanently lower investment.
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