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3035 Results

Filling in the Blanks: Network Structure and Interbank Contagion

Staff Working Paper 2014-26 Kartik Anand, Ben Craig, Goetz von Peter
The network pattern of financial linkages is important in many areas of banking and finance. Yet bilateral linkages are often unobserved, and maximum entropy serves as the leading method for estimating counterparty exposures.

Labor Market Participation, Unemployment and Monetary Policy

Staff Working Paper 2014-9 Alessia Campolmi, Stefano Gnocchi
We incorporate a participation decision in a standard New Keynesian model with matching frictions and show that treating the labor force as constant leads to incorrect evaluation of alternative policies.

Does Inflation Uncertainty Vary with the Level of Inflation?

Staff Working Paper 1996-9 Allan Crawford, Marcel Kasumovich
The purpose of this study is to test the hypothesis that inflation uncertainty increases at higher levels of inflation. Our analysis is based on the generalized autoregressive conditional heteroscedasticity (GARCH) class of models, which allow the conditional variance of the error term to be time-varying. Since this variance is a proxy for inflation uncertainty, a positive relationship between the conditional variance and inflation would be interpreted as evidence that inflation uncertainty increases with the level of inflation.
Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation and prices, Monetary policy and uncertainty JEL Code(s): C, C5, C52, E, E3, E31

Text Mining and the Information Content of Bank of Canada Communications

Staff Working Paper 2010-31 Scott Hendry, Alison Madeley
This paper uses Latent Semantic Analysis to extract information from Bank of Canada communication statements and investigates what type of information affects returns and volatility in short-term as well as long-term interest rate markets over the 2002-2008 period.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Monetary policy implementation JEL Code(s): E, E5, E58, G, G1, G14

Financial Shocks and the Output Growth Distribution

This paper studies how financial shocks shape the distribution of output growth by introducing a quantile-augmented vector autoregression (QAVAR), which integrates quantile regressions into a structural VAR framework. The QAVAR preserves standard shock identification while delivering flexible, nonparametric forecasts of conditional moments and tail risk measures for gross domestic product.
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