HVOZDENSKÁ, Jana. The Application of Sovereign Bond Spreads (The Case of Finland, Iceland, Norway, Sweden, Switzerland and Russia). In Aaro Hazak. 6th International Conference "Economic Challenges in Enlarged Europe" - Conference Proceedings. Tallinn: Tallinn University of Technology, 2014, p. 1-11. ISSN 2382-6797.
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Basic information
Original name The Application of Sovereign Bond Spreads (The Case of Finland, Iceland, Norway, Sweden, Switzerland and Russia)
Authors HVOZDENSKÁ, Jana (203 Czech Republic, guarantor, belonging to the institution).
Edition Tallinn, 6th International Conference "Economic Challenges in Enlarged Europe" - Conference Proceedings, p. 1-11, 11 pp. 2014.
Publisher Tallinn University of Technology
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50200 5.2 Economics and Business
Country of publisher Estonia
Confidentiality degree is not subject to a state or trade secret
Publication form storage medium (CD, DVD, flash disk)
RIV identification code RIV/00216224:14560/14:00075771
Organization unit Faculty of Economics and Administration
ISSN 2382-6797
Keywords in English GDP prediction; yield curve; slope; spread
Tags International impact, Reviewed
Changed by Changed by: Ing. Bc. Jana Hvozdenská, Ph.D., učo 174974. Changed: 13/1/2015 18:10.
Abstract
The yield curve – specifically the spread between long term and short term interest rates is a valuable forecasting tool. It is simple to use and significantly outperforms other financial and macroeconomic indicators in predicting recessions two to six quarters ahead. This paper aims to analyse the dependence between slope of the yield curve and an economic activity of selected countries between the years 2000 and 2013. The slope of the yield curve can be measured as the yield spread between sovereign 10-year and 3-month bonds. The natural and probably the most popular measure of economic growth is by GDP growth, taken quarterly. The results showed that the best predictive lags differ in each country and each time span we chose. The most common lags of spreads are lag four, five and six quarters. The results presented confirm that 10-year and 3-month yield spread has significant predictive power for real GDP growth.
Links
MUNI/A/0786/2013, interní kód MUName: Analýza a predikce vývoje cen finančních a investičních nástrojů
Investor: Masaryk University, Category A
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