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Modelling Return and Volatility Spillovers in Global Foreign Exchange Markets

Author

Listed:
  • Afees A. Salisu

    (Centre for Econometric and Allied Research, University of Ibadan)

  • Oluwatomisinn Oyewole

    (Department of Economics, College of Management Sciences Federal University of Agriculture, Abeokuta, Nigeria)

  • Ismail O. Fasanya

    (Department of Economics, College of Management Sciences Federal University of Agriculture, Abeokuta, Nigeria)

Abstract

In this paper, we measure return and volatility spillovers in global foreign exchange (FX) markets using six most traded currency pairs in the world namely the aussie, cable, euro, gropher, loonie and swissie. We employ the Diebold and Yilmaz (2012) approach and consequently, we compute Total Spillover, Directional Spillover and Net Spillover indexes. We utilize daily data from Jaunary 01 1999 to December 31, 2014. We also carry out rolling sample analyses in order to capture secular and cyclical movements in global FX markets. We find evidence of interdependence among the major traded currency pairs based on the spillover indexes. In addition, return spillovers exhibit mild trends and bursts while volatility spillovers exhibit significant bursts but no trends. We also identify crisis episodes that seem to have influenced the recorded fluctuations in returns and volatilities of global FX markets. Our results are robust to the VAR lag structure, forecast horizon and rolling window width.

Suggested Citation

  • Afees A. Salisu & Oluwatomisinn Oyewole & Ismail O. Fasanya, 2017. "Modelling Return and Volatility Spillovers in Global Foreign Exchange Markets," Working Papers 030, Centre for Econometric and Allied Research, University of Ibadan.
  • Handle: RePEc:cui:wpaper:0030
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    Cited by:

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    2. Salisu, Afees A. & Adekunle, Wasiu & Alimi, Wasiu A. & Emmanuel, Zachariah, 2019. "Predicting exchange rate with commodity prices: New evidence from Westerlund and Narayan (2015) estimator with structural breaks and asymmetries," Resources Policy, Elsevier, vol. 62(C), pages 33-56.
    3. Siyuan Liu & Mehmet Orcun Yalcin & Hsuan Fu & Xiuyi Fan, 2021. "An Investigation of the Impact of COVID-19 Non-Pharmaceutical Interventions and Economic Support Policies on Foreign Exchange Markets with Explainable AI Techniques," Papers 2111.14620, arXiv.org.
    4. Mehmet Balcilar & Usman Ojonugwa, 2018. "Exchange rate and oil price pass-through to inflation in BRICS countries: Evidence from the spillover index and rolling-sample analysis," Working Papers 15-45, Eastern Mediterranean University, Department of Economics.
    5. Usha Rekha Chinthapalli, 2021. "A Comparative Analysis on Probability of Volatility Clusters on Cryptocurrencies, and FOREX Currencies," JRFM, MDPI, vol. 14(7), pages 1-23, July.

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    More about this item

    Keywords

    FX market; Returns; Volatilities; Vector autoregression (VAR); Forecast error variance; Spillover index;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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