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486 Results

Supply Drivers of US Inflation Since the COVID-19 Pandemic

Staff working paper 2023-19 Serdar Kabaca, Kerem Tuzcuoglu
This paper examines the contribution of several supply factors to US headline inflation since the start of the COVID-19 pandemic. We identify six supply shocks using a structural VAR model: labor supply, labor productivity, global supply chain, oil price, price mark-up and wage mark-up shocks.

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.

Trading on Long-term Information

Staff working paper 2020-20 Corey Garriott, Ryan Riordan
Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.

Liquidation Mechanisms and Price Impacts in DeFi

Staff working paper 2025-12 Phoebe Tian, Yu Zhu
This paper theoretically and empirically examines the price impacts of liquidations in DeFi and how different liquidation mechanisms affect the price impacts.

Exchange Rates, Retailers, and Importing: Theory and Firm-Level Evidence

Staff working paper 2019-34 Alex Chernoff, Patrick Alexander
We develop a model with firm heterogeneity in importing and cross-border shopping among consumers. Exchange-rate appreciations lower the cost of imported goods, but also lead to more cross-border shopping; hence, the net impact on aggregate retail prices and sales is ambiguous.

Comparison of Bayesian and Sample Theory Parametric and Semiparametric Binary Response Models

We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models.

Social Learning and Monetary Policy at the Effective Lower Bound

This research develops a model in which the economy is directly influenced by how pessimistic or optimistic economic agents are about the future. The agents may hold different views and update them as new economic data become available.

Are Long-Horizon Expectations (De-)Stabilizing? Theory and Experiments

Staff working paper 2019-27 George Evans, Cars Hommes, Isabelle Salle, Bruce McGough
Most models in finance assume that agents make trading plans over the infinite future. We consider instead that they are boundedly rational and may only form forecasts over a limited horizon.
January 31, 2020

Terry Fox is bank NOTE-able

Terry Fox was selected from a short list of eight iconic Canadians to be on the next $5 bank note.
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