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The forecasting power of international yield curve linkages Author info | Abstract | Publisher info | Download info | Related research | Statistics Michele Modugno () (European Central Bank, Kaiserstrasse 29, D-60311 Frankfurt am Main, Germany. )
Kleopatra Nikolaou () (European Central Bank, Kaiserstrasse 29, D-60311 Frankfurt am Main, Germany. )
This paper investigates whether information from foreign yield curves helps forecast domestic yield curves out-of-sample. A nested methodology to forecast yield curves in domestic and international settings is applied on three major countries (the US, Germany and the UK). This novel methodology is based on dynamic factor models, the EM algorithm and the Kalman lter. The domestic model is compared vis-á-vis an international one, where information from foreign yield curves is allowed to enrich the information set of the domestic yield curve. The results have interesting and original implications. They reveal clear international dependency patterns, strong enough to improve forecasts of Germany and to a lesser extent UK. The US yield curve exhibits a more independent behaviour. In this way, the paper also generalizes anecdotal evidence on international interest rate linkages to the whole yield curve. JEL Classification: F31.
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Paper provided by European Central Bank in its series Working Paper Series with number
1044.
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Length: 30 pages
Date of creation: Apr 2009Date of revision:
Handle: RePEc:ecb:ecbwps:20091044Contact details of provider: Postal: Postfach 16 03 19, Frankfurt am Main, Germany Phone: +49 69 1344 0 Fax: +49 69 1344 6000 Web page: http://www.ecb.europa.eu/home/html/index.en.html More information through EDIRC
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Keywords: Yield curve forecast ; Dynamic factor model ; EM algorithm ; International linkages. ; Other versions of this item:
This paper has been announced in the following NEP Reports :
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