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3035 Results

Good Volatility, Bad Volatility and Option Pricing

Staff Working Paper 2017-52 Bruno Feunou, Cédric Okou
Advances in variance analysis permit the splitting of the total quadratic variation of a jump diffusion process into upside and downside components. Recent studies establish that this decomposition enhances volatility predictions, and highlight the upside/downside variance spread as a driver of the asymmetry in stock price distributions.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): G, G1, G12

The Role of Convenience and Risk in Consumers' Means of Payment

Staff Discussion Paper 2009-8 Carlos Arango, Varya Taylor
Using data from a 2004 survey of the Canadian public, the authors study the role of convenience and risk in consumers' use of cash relative to debit and credit cards. The authors find that consumers who perceive debit cards and credit cards to be more convenient and less risky than cash use them more frequently.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Bank notes JEL Code(s): E, E4, E41, L, L2

Time-Varying Effects of Oil Supply Shocks on the U.S. Economy

Staff Working Paper 2012-2 Christiane Baumeister, Gert Peersman
We use vector autoregressions with drifting coefficients and stochastic volatility to investigate how the dynamic effects of oil supply shocks on the U.S. economy have changed over time. We find a substantial decline in the short-run price elasticity of oil demand since the mid-eighties.

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.
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