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Risk transmitters and receivers in global currency markets

Author

Listed:
  • Syed Jawad Hussain Shahzad

    (Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School)

  • Jose Arreola-Hernandez

    (Rennes SB - Rennes School of Business)

  • Stelios Bekiros
  • Mobeen Ur Rehman

    (Shaheed Zulfiqar Ali Bhutto Institute of Science & Technology, Karachi)

Abstract

We implement a robust multi-scenario cross-quantilogram network approach to examine the strength and direction of interdependencies and spillover transmission among 25 developed, emerging, Middle Eastern and North African (MENA) FX markets. We find evidence of statistically significant risk transmission and reception between numerous FX rates that varies under different market states i.e., bearish, normal and bullish. The currencies of develop markets act mainly as spillover transmitter, while those with lower currency values are spillover receivers. Implications of the results are discussed.

Suggested Citation

  • Syed Jawad Hussain Shahzad & Jose Arreola-Hernandez & Stelios Bekiros & Mobeen Ur Rehman, 2018. "Risk transmitters and receivers in global currency markets," Post-Print hal-01814274, HAL.
    • Handle: RePEc:hal:journl:hal-01814274
    DOI: 10.1016/j.frl.2017.09.018
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    Cited by:

    1. Libo Yin & Jing Nie, 2021. "Intermediary asset pricing in currency carry trade returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1241-1267, August.
    2. Chuliá, Helena & Koser, Christoph & Uribe, Jorge M., 2021. "Analyzing the Nonlinear Pricing of Liquidity Risk according to the Market State," Finance Research Letters, Elsevier, vol. 38(C).
    3. Danau, Daniel, 2020. "Prudence and preference for flexibility gain," European Journal of Operational Research, Elsevier, vol. 287(2), pages 776-785.
    4. Chang, Ya-Ting & Gau, Yin-Feng & Hsu, Chih-Chiang, 2022. "Liquidity spillover in foreign exchange markets," Finance Research Letters, Elsevier, vol. 44(C).
    5. Tan T. M. Le & Franck Martin & Duc K. Nguyen, 2018. "Dynamic connectedness of global currencies: a conditional Granger-causality approach," Economics Working Paper Archive (University of Rennes & University of Caen) 2018-04, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    6. Jiang, Xue & Li, Sai-Ping & Mai, Yong & Tian, Tao, 2022. "Study of multinational currency co-movement and exchange rate stability base on network game," Finance Research Letters, Elsevier, vol. 47(PA).
    7. Nissinen, Juuso, 2024. "Cross-country spillover effects of interest rate and credit constraint policies," Finance Research Letters, Elsevier, vol. 66(C).
    8. Ur Rehman, Mobeen & Al Rababa'a, Abdel Razzaq & El-Nader, Ghaith & Alkhataybeh, Ahmad & Vo, Xuan Vinh, 2022. "Modelling the quantile cross-coherence between exchange rates: Does the COVID-19 pandemic change the interlinkage structure?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).

    More about this item

    Keywords

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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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