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Risk and Return Spillovers in a Global Model of the Foreign Exchange Network

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Listed:
  • Matthew Greenwood-Nimmo
  • Daan Steenkamp
  • Rossouw van Jaarsveld

Abstract

We developed a network model to capture the dynamic interactions among foreign exchange returns and realised risk measures among 20 developed and emerging market currencies, including the rand (ZAR). We demonstrate how this framework can be used to assess the sensitivity of a given currency to shocks from other currencies and to provide narratives contextualising currency movements, focusing on the ZAR. We show that variations in the risk-return profile of the USDZAR correlate with variations in the risk-return profile of many other currencies, and that this is especially notable with respect to emerging market currencies. We interpret this as evidence of the ZAR’s role as a bellwether emerging market currency. We show that the model is able to highlight risk transmission channels in a timely manner during foreign exchange flash crashes and periods of heightened financial market uncertainty.

Suggested Citation

  • Matthew Greenwood-Nimmo & Daan Steenkamp & Rossouw van Jaarsveld, 2021. "Risk and Return Spillovers in a Global Model of the Foreign Exchange Network," ERSA Working Paper Series, Economic Research Southern Africa, vol. 0.
    • Handle: RePEc:rza:ersawp:v::y:2021:i::id:50
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    References listed on IDEAS

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    Cited by:

    1. Erasmus, Ruan & Steenkamp, Daan, 2022. "South Africa’s yield curve conundrum," MPRA Paper 115398, University Library of Munich, Germany.
    2. Olds, Tim & Steenkamp, Daan & Van Jaarsveld, Rossouw, 2021. "The impact of global FX liquidity on the rand," MPRA Paper 116466, University Library of Munich, Germany.
    3. Matthew Greenwood-Nimmo & Daan Steenkamp & Rossouw van Jaarsveld, 2022. "CaninformationonthedistributionofZARreturnsbeusedtoimproveSARBsZARforecasts," Working Papers 11035, South African Reserve Bank.

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