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2980 Results

May 19, 2011

Understanding and Measuring Liquidity Risk: A Selection of Recent Research

During the recent financial crisis, one of the forces set in motion by the initial losses on subprime-mortgage loans was a significant decline in the market liquidity of assets and in the ability of financial institutions to obtain funding in wholesale markets. In this article, the authors summarize recent research that clarifies the role of liquidity in destabilizing the financial system and examine the implications of this research for the recently announced financial system reforms, including Basel III.

An Introduction to Wavelets for Economists

Staff Working Paper 2002-3 Christoph Schleicher
Wavelets are mathematical expansions that transform data from the time domain into different layers of frequency levels. Compared to standard Fourier analysis, they have the advantage of being localized both in time and in the frequency domain, and enable the researcher to observe and analyze data at different scales.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1

Downward Nominal-Wage Rigidity: Micro Evidence from Tobit Models

Staff Working Paper 2001-7 Allan Crawford, Geoff Wright
This paper uses Tobit models and data for union contracts to examine the extent of downward nominal-wage rigidity in Canada. To be consistent with important stylized facts, the models allow the variance of the notional wage-change distribution to be time-varying and test for menu-cost effects.
Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation targets, Labour markets JEL Code(s): E, E2, E24, E5, E52, E6, E61

Does Unconventional Monetary and Fiscal Policy Contribute to the COVID Inflation Surge in the US?

Staff Working Paper 2024-38 Jing Cynthia Wu, Yinxi Xie, Ji Zhang
We assess whether unconventional monetary and fiscal policy implemented in response to the COVID-19 pandemic in the U.S. contribute to the 2021-2023 inflation surge through the lens of several different empirical methodologies and establish a null result.

Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches

Staff Analytical Note 2018-34 Andrew Lee-Poy
In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model.

Gaining Credibility for Inflation Targets

Staff Working Paper 2001-11 James Yetman
In this paper, I consider a simple model in which agents learn about the inflation target of a central bank over time by observing the policy instrument or inflation outcomes. Measuring credibility as the distance between the perceived target and the actual target, an increase in credibility is beneficial to the central bank because it brings the policy consistent with attaining the inflation target closer to that required to attain the output target.
Content Type(s): Staff research, Staff working papers Research Topic(s): Credibility, Inflation targets JEL Code(s): E, E5, E52
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