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  4. International Financial Transmission of the US Monetary Policy: An Empirical Assessment
 
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International Financial Transmission of the US Monetary Policy: An Empirical Assessment

Type
working paper
Date Issued
2012
Author(s)
Mirkov, Nikola
Abstract
This paper proposes a way to study the transmission mechanism of the US monetary policy to foreign yield curves. It elaborates the high-frequency identification of monetary policy shocks from Piazzesi (2005) in an international setting and uses a sample of 125 policy rate decisions of the Fed to extract "realised" policy shocks. The Fed decisions span from February 1994 to December 2008 and are divided according to the direction of the policy rate move and weather they were anticipated by the Fed funds futures market. A consistent, two-country term structure model is estimated on daily data and used to assess both instantaneous and lagged reaction of foreign interest rates and forward term premia to the Fed policy rate decisions. Empirical analysis of the US - UK model shows that the most of the movement in the UK yields around policy action days results from estimated term premia. A surprise policy action seems to produce a spike in the UK premia around the short- and mid-range maturities, independently from the direction of the policy rate move. The estimated lagged reaction of the UK yields to a policy decision of the Fed is also negative, after both hikes and cuts of the policy rate. The results hold for different market price of risk specifications, after two robustness checks and for both two-country and single-country model output.
Language
English
HSG Classification
contribution to scientific community
Refereed
No
Publisher
School of Finance Working Paper Series No. 141
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/92746
Subject(s)

economics

Division(s)

s/bf - Swiss Institut...

Eprints ID
209080
File(s)
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Thumbnail Image

open.access

Name

12_1_Mirkov_International Financial Transmission.pdf

Size

518.57 KB

Format

Adobe PDF

Checksum (MD5)

667d6f7057acb10492bd4ca7f9d7f006

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