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2098 Results

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.

Anticipated Technology Shocks: A Re‐Evaluation Using Cointegrated Technologies

Staff working paper 2017-11 Joel Wagner
Two approaches have been taken in the literature to evaluate the relative importance of news shocks as a source of business cycle volatility. The first is an empirical approach that performs a structural vector autoregression to assess the relative importance of news shocks, while the second is a structural-model-based approach.

Decomposing Systemic Risk: The Roles of Contagion and Common Exposures

Staff working paper 2024-19 Grzegorz Halaj, Ruben Hipp
We examine systemic risks within the Canadian banking sector, decomposing them into three contribution channels: contagion, common exposures, and idiosyncratic risk. Through a structural model, we dissect how interbank relationships and market conditions contribute to systemic risk, providing new insights for financial stability.

A Dynamic Factor Model for Commodity Prices

Staff analytical note 2017-12 Doga Bilgin, Reinhard Ellwanger
In this note, we present the Commodities Factor Model (CFM), a dynamic factor model for a large cross-section of energy and non-energy commodity prices. The model decomposes price changes in commodities into a common “global” component, a “block” component confined to subgroups of economically related commodities and an idiosyncratic price shock component.
June 4, 2020

Economic progress report: keeping markets working

Remarks (delivered virtually) Toni Gravelle Greater Sudbury Chamber of Commerce Sudbury, Ontario
Deputy Governor Toni Gravelle discusses the Bank’s latest interest rate announcement and explains how efforts to keep financial markets functioning through the COVID-19 crisis will lay a solid foundation for economic recovery

Tail Index Estimation: Quantile-Driven Threshold Selection

The most extreme events, such as economic crises, are rare but often have a great impact. It is difficult to precisely determine the likelihood of such events because the sample is small.

The Evolution of Unobserved Skill Returns in the U.S.: A New Approach Using Panel Data

Staff working paper 2017-61 Lance Lochner, Youngmin Park, Youngki Shin
Economists disagree about the factors driving the substantial increase in residual wage inequality in the United States over the past few decades. To identify changes in the returns to unobserved skills, we make a novel assumption about the dynamics of skills (especially among older workers) rather than about the stability of skill distributions across cohorts, as is standard.

What Fed Funds Futures Tell Us About Monetary Policy Uncertainty

Staff working paper 2016-61 Jean-Sébastien Fontaine
The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a “path” factor signaling information about future policy actions, which is filtered from federal funds futures data.
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