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2095 Results

Inflation Targeting and Liquidity Traps Under Endogenous Credibility

Staff working paper 2019-9 Cars Hommes, Joep Lustenhouwer
Policy implications are derived for an inflation-targeting central bank, whose credibility is endogenous and depends on its past ability to achieve its targets. This is done in a New Keynesian framework with heterogeneous and boundedly rational expectations.

Demographic Origins of the Decline in Labor’s Share

Staff working paper 2023-20 Andrew Glover, Jacob Short
Declining labour market dynamism of workers results in an increasing wedge between their earnings and their marginal product as they age. This wedge and the demographic shift in the earnings shares of older workers can account for 59% of the decline in labor’s share of earnings in the United States.

Networking the Yield Curve: Implications for Monetary Policy

We study how different monetary policies affect the yield curve and interact. Our study highlights the importance of the spillover structure across the yield curve for policy-making.

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.

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.

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.

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.
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