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Stylized facts of business cycles in a transition economy in time and frequency

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  • Caraiani, Petre

Abstract

We discuss the properties of business cycles in Romania between 1991 and 2011 using a wavelets based method. We compare it with the standard approaches in literature. We analyze the relationship between output and key macroeconomic variables in time and frequency. While in terms of comovement the results are mostly in line with previous findings, there is a better picture of the time varying features as well as the influence of recessions on the nature of the relationships. The approach applied here can also isolate the influence of specific events, like the accession to the European Union.

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  • Caraiani, Petre, 2012. "Stylized facts of business cycles in a transition economy in time and frequency," Economic Modelling, Elsevier, vol. 29(6), pages 2163-2173.
    • Handle: RePEc:eee:ecmode:v:29:y:2012:i:6:p:2163-2173
    DOI: 10.1016/j.econmod.2012.06.014
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    Cited by:

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    4. Verona, Fabio, 2016. "Time–frequency characterization of the U.S. financial cycle," Economics Letters, Elsevier, vol. 144(C), pages 75-79.
    5. Rita Sousa & Luís Aguiar-Conraria & Maria Joana Soares, 2014. "Carbon Financial Markets: a time-frequency analysis of CO2 price drivers," NIPE Working Papers 03/2014, NIPE - Universidade do Minho.
    6. Funashima, Yoshito, 2017. "Time-varying leads and lags across frequencies using a continuous wavelet transform approach," Economic Modelling, Elsevier, vol. 60(C), pages 24-28.
    7. Andrieș, Alin Marius & Căpraru, Bogdan & Ihnatov, Iulian & Tiwari, Aviral Kumar, 2017. "The relationship between exchange rates and interest rates in a small open emerging economy: The case of Romania," Economic Modelling, Elsevier, vol. 67(C), pages 261-274.
    8. Bilgili, Faik, 2015. "Business cycle co-movements between renewables consumption and industrial production: A continuous wavelet coherence approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 325-332.
    9. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu, 2016. "Oil price and exchange rate in India: Fresh evidence from continuous wavelet approach and asymmetric, multi-horizon Granger-causality tests," Applied Energy, Elsevier, vol. 179(C), pages 272-283.
    10. Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
    11. M. Utku Ozmen & Erdal Yilmaz, 2016. "Co-movement of Exchange Rates with Interest Rate Differential, Risk Premium and FED Policy in �Fragile Economies�," Working Papers 1621, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    12. repec:zbw:bofrdp:2016_014 is not listed on IDEAS
    13. Chen, Mei-Ping & Chen, Wen-Yi & Tseng, Tseng-Chan, 2017. "Co-movements of returns in the health care sectors from the US, UK, and Germany stock markets: Evidence from the continuous wavelet analyses," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 484-498.
    14. Verona, Fabio, 2016. "Time–frequency characterization of the U.S. financial cycle," Economics Letters, Elsevier, vol. 144(C), pages 75-79.
    15. Abid, Fathi & Kaffel, Bilel, 2018. "Time–frequency wavelet analysis of the interrelationship between the global macro assets and the fear indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1028-1045.
    16. Funashima, Yoshito, 2016. "Governmentally amplified output volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 469-478.
    17. Fousekis, Panos & Grigoriadis, Vasilis, 2016. "Spatial price dependence by time scale: Empirical evidence from the international butter markets," Economic Modelling, Elsevier, vol. 54(C), pages 195-204.
    18. Jena, Sangram Keshari & Tiwari, Aviral Kumar & Roubaud, David, 2018. "Comovements of gold futures markets and the spot market: A wavelet analysis," Finance Research Letters, Elsevier, vol. 24(C), pages 19-24.

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    More about this item

    Keywords

    Business cycles; Filters; Wavelets;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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