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Exchange rate returns and volatility: the role of time-varying rare disaster risks

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  • Rangan Gupta
  • Tahir Suleman
  • Mark E. Wohar

Abstract

This paper provides empirical evidence to the theoretical claim that rare disaster risks have predictability for exchange rate returns and volatility using a nonparametric quantile-based methodology. Using dollar-based exchange rates for Brazil, Russia, India, China, and South Africa, the quantile-causality test shows that indeed rare disaster-risks affects both returns and volatility over the majority of their respective conditional distributions. In addition, these effects are much stronger when compared to those using the British pound, especially in terms of currency returns.

Suggested Citation

  • Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2019. "Exchange rate returns and volatility: the role of time-varying rare disaster risks," The European Journal of Finance, Taylor & Francis Journals, vol. 25(2), pages 190-203, January.
    • Handle: RePEc:taf:eurjfi:v:25:y:2019:i:2:p:190-203
    DOI: 10.1080/1351847X.2018.1534750
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    Cited by:

    1. Liming Chen & Zhi Zhang & Ziqing Du & Lingling Deng, 2021. "Heterogeneous determinants of the exchange rate market in China with structural breaks," Applied Economics, Taylor & Francis Journals, vol. 53(59), pages 6839-6854, December.
    2. Mehmet Balcilar & Elie Bouri & Rangan Gupta & Christian Pierdzioch, 2021. "El Niño, La Niña, and the Forecastability of the Realized Variance of Heating Oil Price Movements," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    3. Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2019. "The role of time‐varying rare disaster risks in predicting bond returns and volatility," Review of Financial Economics, John Wiley & Sons, vol. 37(3), pages 327-340, July.
    4. Bonato, Matteo & Cepni, Oguzhan & Gupta, Rangan & Pierdzioch, Christian, 2023. "Climate risks and realized volatility of major commodity currency exchange rates," Journal of Financial Markets, Elsevier, vol. 62(C).
    5. Zhong, Juandan & Cao, Wenhan & Tang, Yusui, 2023. "Tail risk of international equity market and oil volatility," Finance Research Letters, Elsevier, vol. 58(PA).
    6. Riza Demirer & Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2020. "Effect of Rare Disaster Risks on Crude Oil: Evidence from El Nino from Over 140 Years of Data," Working Papers 2020104, University of Pretoria, Department of Economics.
    7. Dąbrowski, Marek A. & Janus, Jakub, 2021. "Does the interest parity puzzle hold for Central and Eastern European economies?," MPRA Paper 107558, University Library of Munich, Germany.
    8. Salisu, Afees A. & Gupta, Rangan & Nel, Jacobus & Bouri, Elie, 2022. "The (Asymmetric) effect of El Niño and La Niña on gold and silver prices in a GVAR model," Resources Policy, Elsevier, vol. 78(C).
    9. Renee van Eyden & Geoffrey Ngene & Oguzhan Cepni & Rangan Gupta, 2022. "The Heterogeneous Impact of Temperature Growth on Real House Price Returns across the US States," Working Papers 202236, University of Pretoria, Department of Economics.
    10. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2018. "Forecasting (Good and Bad) Realized Exchange-Rate Volatility: Is there a Role for Realized Skewness and Kurtosis?," Working Papers 201879, University of Pretoria, Department of Economics.
    11. Balcilar, Mehmet & Gupta, Rangan & Nel, Jacobus, 2022. "Rare disaster risks and gold over 700 years: Evidence from nonparametric quantile regressions," Resources Policy, Elsevier, vol. 79(C).
    12. Ahdi Noomen Ajmi & Roula Inglesi-Lotz, 2021. "Revisiting the Kuznets Curve Hypothesis for Tunisia: Carbon Dioxide vs. Ecological Footprint," Working Papers 202171, University of Pretoria, Department of Economics.
    13. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2022. "Forecasting realized volatility of international REITs: The role of realized skewness and realized kurtosis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 303-315, March.
    14. Salisu, Afees A. & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil prices over 150 years: The role of tail risks," Resources Policy, Elsevier, vol. 75(C).
    15. Marek A. Dąbrowski & Jakub Janus, 2024. "Does the Interest Parity Puzzle Hold for Central and Eastern European Economies?," Open Economies Review, Springer, vol. 35(3), pages 421-456, July.
    16. Arshian Sharif & Eyup Dogan & Ameenullah Aman & Hafizah Hammad Ahmad Khan & Isma Zaighum, 2020. "Rare disaster and renewable energy in the USA: new insights from wavelet coherence and rolling-window analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2731-2755, September.

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    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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