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Contagion across exchange rates

Author

Listed:
  • Nicholas Apergis
  • Christina Christou

Abstract

Purpose - The purpose of this paper is to investigate contagion across eight major exchange rates by providing more information on the role of information spillovers. Design/methodology/approach - The empirical analysis makes use of two methodologies that capture channels of contagion. Such methodologies explicitly consider information spillovers characterized by the response of currency markets to real-time macroeconomic surprises, i.e., divergences between expectations and realizations. Findings - The empirical findings denote the presence of contagion effects, originating from information spillovers. Practical implications - The empirical findings provide insight about how to derive appropriate policy responses, which are crucial for policymakers to understand the source and nature of such exposures, while this insight might have some bearing with respect to the choice of an exchange-rate regime. The results from this paper may also have implications for investors in relevance to portfolio re-balancing and the construction of optimal portfolio diversification strategies. Originality/value - This is the first empirical attempt that explores the role of informational spillovers in exchange rate markets and also explores the employment of advanced econometric methodologies to satisfy the above research goal.

Suggested Citation

  • Nicholas Apergis & Christina Christou, 2017. "Contagion across exchange rates," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 44(1), pages 24-35, January.
  • Handle: RePEc:eme:jespps:jes-12-2015-0216
    DOI: 10.1108/JES-12-2015-0216
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    Citations

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    Cited by:

    1. Reboredo, Juan Carlos & Ugolini, Andrea & Hernandez, Jose Arreola, 2021. "Dynamic spillovers and network structure among commodity, currency, and stock markets," Resources Policy, Elsevier, vol. 74(C).
    2. Hasan Fehmi Baklaci & Tezer Yelkenci, 2022. "Cross-time-frequency analysis of volatility linkages in global currency markets: an extended framework," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(2), pages 267-314, June.
    3. Baklaci, Hasan Fehmi & Aydoğan, Berna & Yelkenci, Tezer, 2020. "Impact of stock market trading on currency market volatility spillovers," Research in International Business and Finance, Elsevier, vol. 52(C).
    4. Ain Shahrier, Nur, 2022. "Contagion effects in ASEAN-5 exchange rates during the Covid-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    5. Mensi, Walid & Hernandez, Jose Arroeola & Yoon, Seong-Min & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Spillovers and connectedness between major precious metals and major currency markets: The role of frequency factor," International Review of Financial Analysis, Elsevier, vol. 74(C).

    More about this item

    Keywords

    Contagion effects; Exchange rates; Information spillovers; Parametric and non-parametric methodologies; Currency markets; F41; F30; C10;
    All these keywords.

    JEL classification:

    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F30 - International Economics - - International Finance - - - General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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