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3045 Results

Non-Parametric and Neural Network Models of Inflation Changes

Staff Working Paper 2000-7 Greg Tkacz
Previous studies have shown that interest rate yield spreads contain useful information about future changes in inflation. However, such studies have for the most part focused on linear models, ignoring potential non-linearities between interest rates and inflation.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Inflation and prices JEL Code(s): C, C5, C51, E, E3, E31

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.
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.

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.

Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement

Staff Working Paper 2018-21 Elena Goldman, Xiangjin Shen
We explore properties of asymmetric generalized autoregressive conditional heteroscedasticity (GARCH) models in the threshold GARCH (GTARCH) family and propose a more general Spline-GTARCH model, which captures high-frequency return volatility, low-frequency macroeconomic volatility as well as an asymmetric response to past negative news in both autoregressive conditional heteroscedasticity (ARCH) and GARCH terms.

Producer Heterogeneity, Value-Added, and International Trade

Staff Working Paper 2016-54 Patrick Alexander
Standard new trade models depict producers as heterogeneous in total factor productivity. In this paper, I adapt the Eaton and Kortum (2002) model of international trade to incorporate tradable intermediate goods and producer heterogeneity in value-added productivity.

Familiarity with Crypto and Financial Concepts: Cryptoasset Owners, Non-Owners, and Gender Differences

Measuring cryptoasset knowledge alongside financial knowledge enhances our understanding of individuals' decisions to purchase cryptoassets. This paper uses microdata from the Bank of Canada’s Bitcoin Omnibus Survey to examine gender differences and the interrelationship between crypto and financial knowledge through an empirical joint analysis.
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