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A Mixed Frequency Analysis Of Connections Between Macroeconomic Variables And Stock Markets In Central And Eastern Europe

Author

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  • LUPU, Radu

    (Institute for Economic Forecasting, Romanian Academy)

  • CALIN, Adrian Cantemir

    (Institute for Economic Forecasting, Romanian Academy)

Abstract

The importance of connections between macroeconomic growth and financial markets is studied for a long time in the academic research. The special case of the developing countries, which is the case of the Central and Eastern European economies highlights this phenomenon even more, as many of them are still at the verge of reforming their economies. Our paper proposes the use of MIDAS regression in an analysis of the connections between macroeconomic growth and equity markets in this region in order to exhibit the importance of the latter for the reform strategies.

Suggested Citation

  • 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.
  • Handle: RePEc:vls:finstu:v:18:y:2014:i:2:p:69-79
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Daniel Belingher, 2015. "A Short-Run Relationship Between 1-Year Bonds Yield And The Domestic Consumption In Romania," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 2, pages 28-36, April.
    2. POPOVICI, Oana Cristina, 2015. "A Volatility Analysis Of The Euro Currency And The Bond Market," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 19(1), pages 67-79.
    3. 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.
    4. Lucian-Liviu Albu, 2016. "Modelling of the relation between financial market and growth in EU: convergence and behavioural regimes," EcoMod2016 9694, EcoMod.
    5. 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.
    6. Madalina Gabriela ANGHEL & Constantin ANGHELACHE & Emilia STANCIU & Marius POPOVICI, 2016. "The Substantiation of the Investment Decision," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(8), pages 94-103, August.

    More about this item

    Keywords

    MIDAS regression; mixed frequency series; CEE markets;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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