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Comovement of Exchange Rates: A Wavelet Analysis

Author

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  • Alin Marius Andrieş
  • Iulian Ihnatov
  • Aviral Kumar Tiwari

Abstract

In this article we investigate the behavior of exchange rates in Central and Eastern European countries. The results strongly indicate that interactions between exchange rates have different characteristics at different timescales. Our results show that CEE exchange rates are nearly perfectly integrated in the short and medium run, since the returns obtained in any of the CEE foreign exchange market can almost be explained by the overall performance in the other CEE markets. The discrepancies between CEE exchange rates are small, but increase within three to six months and that means in the long run the integration of foreign exchange markets is weak.

Suggested Citation

  • Alin Marius Andrieş & Iulian Ihnatov & Aviral Kumar Tiwari, 2016. "Comovement of Exchange Rates: A Wavelet Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(3), pages 574-588, March.
    • Handle: RePEc:mes:emfitr:v:52:y:2016:i:3:p:574-588
    DOI: 10.1080/1540496X.2014.998563
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    Cited by:

    1. Sidi Mohammed Chekouri & Abderrahim Chibi & Mohamed Benbouziane, 2022. "Identifying Algeria’s de facto exchange rate regime: a wavelet-based approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-17, December.
    2. Gong, Yuting & Ma, Chao & Chen, Qiang, 2022. "Exchange rate dependence and economic fundamentals: A Copula-MIDAS approach," Journal of International Money and Finance, Elsevier, vol. 123(C).
    3. Kočenda, Evžen & Moravcová, Michala, 2019. "Exchange rate comovements, hedging and volatility spillovers on new EU forex markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 42-64.
    4. Saba Qureshi & Muhammad Aftab, 2023. "Exchange Rate Interdependence in ASEAN Markets: A Wavelet Analysis," Global Business Review, International Management Institute, vol. 24(6), pages 1180-1204, December.
    5. Anwer, Zaheer & Naeem, Muhammad Abubakr & Hassan, M. Kabir & Karim, Sitara, 2022. "Asymmetric connectedness across Asia-Pacific currencies: Evidence from time-frequency domain analysis," Finance Research Letters, Elsevier, vol. 47(PB).
    6. repec:cnb:ocpubc:geo2023/3 is not listed on IDEAS
    7. Meng, Xiangcai & Huang, Chia-Hsing, 2019. "The time-frequency co-movement of Asian effective exchange rates: A wavelet approach with daily data," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 131-148.
    8. Das, Debojyoti & Bhowmik, Puja & Jana, R.K., 2018. "A multiscale analysis of stock return co-movements and spillovers: Evidence from Pacific developed markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 379-393.
    9. Bhatia, Vaneet & Das, Debojyoti & Kumar, Surya Bhushan, 2020. "Hedging effectiveness of precious metals across frequencies: Evidence from Wavelet based Dynamic Conditional Correlation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    10. Wu, Tao & Sun, Xiaotong & Xu, Xin & Jia, Nanfei & Xuan, Siyuan, 2024. "New evidence of interdependence in forex markets: A connection of connection analysis," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    11. Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Extreme spillovers across Asian-Pacific currencies: A quantile-based analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    12. Anwer, Zaheer & Khan, Ashraf & Kabir Hassan, M. & Rashid, Mamunur, 2022. "Does the regional proximity lead to exchange rate spillover?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).

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