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Interactions between financial markets and macroeconomic variables in EU: a nonlinear modeling approach

Author

Listed:
  • Lucian-Liviu Albu
  • Radu Lupu
  • Adrian Cantemir Calin
Abstract
There is a general acceptance of the fact that a significant direct relationship between financial markets and macroeconomic variables exists, especially by considering the assertion that developed financial markets correspond to high GDP levels. This paper provides an investigation of the correlation between the market capitalization and stock market dynamics on one hand and GDP per capita on the other hand, for two groups of regions in EU (western countries, EU15, and central and eastern countries, EU11). Based on data for a number of EU countries (both western and eastern) and using some special modelling techniques, we provide an analysis of the convergence phenomenon for both the macroeconomic variables and the financial ones. Using a deep time resolution and some spline functions we generated high frequency time series (the so-called virtual monthly GDP) to investigate the correlations with financial markets. In spite of ECB?s carefull monitoring of the financial integration within the euro zone, a possible financial integration process within the non-euro zone continues to be ignored. It seems that due to the weak development of financial markets, the economies outside of the euro zone are relatively more protected against crisis when compared to those inside the euro zone. Therefore, the so-called contagion effect is weaker in the Central and Eastern region of European Union.

Suggested Citation

  • Lucian-Liviu Albu & Radu Lupu & Adrian Cantemir Calin, 2015. "Interactions between financial markets and macroeconomic variables in EU: a nonlinear modeling approach," ERSA conference papers ersa15p685, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa15p685
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    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa15/e150825aFinal00685.pdf
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    References listed on IDEAS

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    1. Tian Yuan & Rakesh Gupta & Eduardo Roca, 2015. "Home Country Macroeconomic Fundamentals and the ADR Market: The Case of the BRICs," Discussion Papers in Finance finance:201502, Griffith University, Department of Accounting, Finance and Economics.
    2. Mr. Emre Alper & Lorenzo Forni, 2011. "Public Debt in Advanced Economies and its Spillover Effectson Long-Term Yields," IMF Working Papers 2011/210, International Monetary Fund.
    3. Narayan, Seema & Narayan, Paresh Kumar, 2012. "Do US macroeconomic conditions affect Asian stock markets?," Journal of Asian Economics, Elsevier, vol. 23(6), pages 669-679.
    4. Joseph W. Gruber & Steven B. Kamin, 2012. "Fiscal Positions and Government Bond Yields in OECD Countries," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1563-1587, December.
    5. Geske, Robert & Roll, Richard, 1983. "The Fiscal and Monetary Linkage between Stock Returns and Inflation," Journal of Finance, American Finance Association, vol. 38(1), pages 1-33, March.
    6. CĂLIN, Adrian Cantemir, 2015. "Connection Of European Economic Growth With The Dynamics Of Volatility Of Stock Market Returns," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 19(1), pages 53-66.
    7. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
    8. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2006. "Predicting volatility: getting the most out of return data sampled at different frequencies," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 59-95.
    9. LUPU, Radu & CALIN, Adrian Cantemir, 2014. "A Mixed Frequency Analysis Of Connections Between Macroeconomic Variables And Stock Markets In Central And Eastern Europe," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 18(2), pages 69-79.
    10. Albu, Lucian Liviu & Lupu, Radu & Calin, Cantemir, 2014. "A Nonlinear Model to Estimate the Long Term Correlation between Market Capitalization and GDP per capita in Eastern EU Countries," Working Papers of Institute for Economic Forecasting 141115, Institute for Economic Forecasting.
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    Cited by:

    1. Iancu, Aurel & Olteanu, Dan, 2015. "Fiscal Consolidation by Austerity and EU Surveillance Policies," Working Papers of National Institute for Economic Research 151209, Institutul National de Cercetari Economice (INCE).
    2. Lucian-Liviu Albu, 2016. "Trends in the relation between regional convergence and economic growth in EU," ERSA conference papers ersa16p244, European Regional Science Association.
    3. Dumitrache Vlad Ionut & Constantinescu Maria, 2016. "EU Security Challenges and Their Economic Implications," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 3-28.
    4. Lucian-Liviu Albu, 2016. "Modelling of the relation between financial market and growth in EU: convergence and behavioural regimes," EcoMod2016 9694, EcoMod.

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    More about this item

    Keywords

    macroeconomic variables; financial crisis; convergence; non-linear modeling;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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