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2190 Results

Inflation vs Inclusion: Stabilization Policy in the Wake of the Pandemic

Staff working paper 2026-13 Felipe Alves, Giovanni L. Violante
As the economy emerges from a crisis, macroeconomic policy confronts a dilemma: a protracted stimulus can foster a more inclusive labor market recovery, yet risks igniting inflation that ultimately undermines workers’ welfare through real income erosion. This tension amplifies in the presence of the ZLB and aggregate capacity constraints. We embed this insight into a quantitative model of the US economy.

Monetary Policy, Trends in Real Interest Rates and Depressed Demand

Staff working paper 2021-27 Paul Beaudry, Césaire Meh
Over the last few decades, real interest rates have trended downward. The most common explanation is that this reflects depressed demand due to demographic, technological and other real factors. We explore the claim that these trends may have been amplified by certain features of monetary policy.

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.

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.

Risk-Neutral Moment-Based Estimation of Affine Option Pricing Models

Staff working paper 2017-55 Bruno Feunou, Cédric Okou
This paper provides a novel methodology for estimating option pricing models based on risk-neutral moments. We synthesize the distribution extracted from a panel of option prices and exploit linear relationships between risk-neutral cumulants and latent factors within the continuous time affine stochastic volatility framework.
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