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Financial variables and euro area growth: A non-parametric causality analysis

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  • Panopoulou, Ekaterini

Abstract

This paper investigates the predictive ability of financial variables for euro area growth through bivariate and multivariate non-parametric Granger causality tests. Apart from assessing the within-country forecasting ability of commonly-employed financial variables, such as the term spread, the stock market returns and the growth of real money supply, we also test for cross-country influences. In this way, we reveal the countries that are more useful in predicting growth in other member countries along with the ones that are more receptive to other countries' financial developments. Our results suggest that financial variables are useful leading indicators for euro area growth at a joint level, albeit at different horizons, ranging from one to six quarters. Our finding of overall increased levels of receptivity among member states provides useful information for policy makers, especially in the case of monetary union such as the euro area.

Suggested Citation

  • Panopoulou, Ekaterini, 2009. "Financial variables and euro area growth: A non-parametric causality analysis," Economic Modelling, Elsevier, vol. 26(6), pages 1414-1419, November.
  • Handle: RePEc:eee:ecmode:v:26:y:2009:i:6:p:1414-1419
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    Cited by:

    1. Pradhan, Rudra P. & Arvin, Mak B. & Norman, Neville R., 2015. "Insurance development and the finance-growth nexus: Evidence from 34 OECD countries," Journal of Multinational Financial Management, Elsevier, vol. 31(C), pages 1-22.
    2. Croux, Christophe & Reusens, Peter, 2013. "Do stock prices contain predictive power for the future economic activity? A Granger causality analysis in the frequency domain," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 93-103.
    3. Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu & Kyophilavong, Phouphet, 2015. "Frequency domain causality analysis of stock market and economic activity in India," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 224-238.
    4. Lawal Isola ADEDOYIN & Frank AWONUSI & Martins I. OLOYE, 2015. "All share price and inflation volatility in Nigeria. An application of the EGARCH model," EuroEconomica, Danubius University of Galati, issue 1(34), pages 75-82, May.
    5. Pradhan, Rudra P. & Arvin, Mak B. & Ghoshray, Atanu, 2015. "The dynamics of economic growth, oil prices, stock market depth, and other macroeconomic variables: Evidence from the G-20 countries," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 84-95.
    6. Rudra P. Pradhan & Mak B. Arvin & Neville R. Norman & John H. Hall, 2014. "The dynamics of banking sector and stock market maturity and the performance of Asian economies: Time series evidence," Journal of Economic and Administrative Sciences, Emerald Group Publishing, vol. 30(1), pages 16-44, May.
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    9. Pradhan, Rudra P. & Arvin, Mak B. & Bahmani, Sahar, 2015. "Causal nexus between economic growth, inflation, and stock market development: The case of OECD countries," Global Finance Journal, Elsevier, vol. 27(C), pages 98-111.
    10. Pradhan, Rudra P. & Arvin, Mak B. & Hall, John H. & Bahmani, Sahar, 2014. "Causal nexus between economic growth, banking sector development, stock market development, and other macroeconomic variables: The case of ASEAN countries," Review of Financial Economics, Elsevier, vol. 23(4), pages 155-173.
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    12. Mehmet Balcilar & Rangan Gupta & Chien-Chiang Lee & Godwin Olasehinde-Williams, 2018. "The Synergistic Effect of Insurance and Banking Sector Activities on Economic Growth in Africa," Working Papers 201818, University of Pretoria, Department of Economics.

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