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The yield curve as a predictor of economic activity ? the case of EU-15

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F14%3A00075858" target="_blank" >RIV/00216224:14560/14:00075858 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The yield curve as a predictor of economic activity ? the case of EU-15

  • Original language description

    In this paper the ability of the yield curve to predict GDP activity was examined in the countries of EU-15 ? Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxemburg, the Netherlands, Portugal, Spain, Sweden and United Kingdom. The dataset contains the spread between 10-year and 3-month sovereign bonds and real GDP of the countries mentioned above between the years 2000 and 2013. The results showed that the prediction ability of the GDP growth or decrease was proven afteryear 2008 (the financial crisis) in Austria, Denmark, Finland, France, Germany, Ireland, Sweden and United Kingdom. Certainly the simple yield curve growth forecast should not serve as a replacement for the complex predictive models, it does, however, provide enough information to serve as a useful check on the more sophisticated forecasts.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Financial Regulation and Supervision in the After - Crisis Period. Proceedings of 14th International Conference on Finance and Banking

  • ISBN

    9788072489398

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    131-139

  • Publisher name

    Silesian University

  • Place of publication

    Karviná

  • Event location

    Karviná

  • Event date

    Jan 1, 2014

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000345575000016