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Exchange rate volatility and the mixture of distribution hypothesis

In: High Frequency Financial Econometrics

Author

Listed:
  • Luc Bauwens

    (Université catholique de Louvain)

  • Dagfinn Rime

    (Norges Bank)

  • Genaro Sucarrat

    (Université catholique de Louvain)

Abstract

This study sheds new light on the mixture of distribution hypothesis by means of a study of the weekly exchange rate volatility of the Norwegian krone. In line with other studies we find that the impact of information arrival on exchange rate volatility is positive and statistically significant, and that the hypothesis that an increase in the number of traders reduces exchange rate volatility is not supported. The novelties of our study consist in documenting that the positive impact of information arrival on volatility is relatively stable across three different exchange rate regimes, and in that the impact is relatively similar for both weekly volatility and weekly realised volatility. It is not given that the former should be the case since exchange rate stabilisation was actively pursued by the central bank in parts of the study period. We also report a case in which undesirable residual properties attained within traditional frameworks are easily removed by applying the logtransformation on volatilities.

Suggested Citation

  • Luc Bauwens & Dagfinn Rime & Genaro Sucarrat, 2008. "Exchange rate volatility and the mixture of distribution hypothesis," Studies in Empirical Economics, in: Luc Bauwens & Winfried Pohlmeier & David Veredas (ed.), High Frequency Financial Econometrics, pages 7-29, Springer.
    • Handle: RePEc:spr:stecpp:978-3-7908-1992-2_2
    DOI: 10.1007/978-3-7908-1992-2_2
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    1. repec:imd:wpaper:wp2010-25 is not listed on IDEAS
    2. Ben Omrane, Walid & Saadi, Samir & Savaser, Tanseli, 2024. "Sustainable energy practices and cryptocurrency market behavior," Energy Economics, Elsevier, vol. 139(C).
    3. POPOVICI, Oana Cristina, 2015. "A Volatility Analysis Of The Euro Currency And The Bond Market," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 19(1), pages 67-79.
    4. Damette, Olivier, 2016. "Mixture Distribution Hypothesis And The Impact Of A Tobin Tax On Exchange Rate Volatility: A Reassessment," Macroeconomic Dynamics, Cambridge University Press, vol. 20(6), pages 1600-1622, September.
    5. Jakree Koosakul & Ilhyock Shim, 2017. "The beneficial aspect of FX volatility for market liquidity," BIS Working Papers 629, Bank for International Settlements.
    6. Francis Bismans & Olivier Damette, 2012. "La taxe Tobin : une synthèse des travaux basés sur la théorie des jeux et l’économétrie," Working Papers of BETA 2012-09, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    7. repec:erh:journl:v:6:y:2014:i:2:p:59-77 is not listed on IDEAS
    8. Rime, Dagfinn & Sucarrat, Genaro, 2007. "Exchange rate variability, market activity and heterogeneity," UC3M Working papers. Economics we077039, Universidad Carlos III de Madrid. Departamento de Economía.
    9. Francq, Christian & Sucarrat, Genaro, 2017. "An equation-by-equation estimator of a multivariate log-GARCH-X model of financial returns," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 16-32.
    10. Olivier Damette & Stéphane Goutte, 2014. "Tobin tax and trading volume tightening: a reassessment," Working Papers halshs-00926805, HAL.
    11. Sensoy, Ahmet & Serdengeçti, Süleyman, 2019. "Intraday volume-volatility nexus in the FX markets: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 1-12.
    12. Bauwens, Luc & Sucarrat, Genaro, 2010. "General-to-specific modelling of exchange rate volatility: A forecast evaluation," International Journal of Forecasting, Elsevier, vol. 26(4), pages 885-907, October.
    13. Angelo Ranaldo & Paolo Santucci de Magistris, 2018. "Trading Volume, Illiquidity and Commonalities in FX Markets," Working Papers on Finance 1823, University of St. Gallen, School of Finance, revised Oct 2019.
    14. Michael Frömmel & Eyup Kadioglu, 2023. "Impact of trading hours extensions on foreign exchange volatility: intraday evidence from the Moscow exchange," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    15. Munazza Jabeen & Saud Ahmad Khan, 2014. "Modelling Exchange Rate Volatility by Macroeconomic Fundamentals in Pakistan," International Econometric Review (IER), Econometric Research Association, vol. 6(2), pages 58-76, September.
    16. Olivier Damette & St鰨ane Goutte, 2015. "Tobin tax and trading volume tightening: a reassessment," Applied Economics, Taylor & Francis Journals, vol. 47(29), pages 3124-3141, June.
    17. Olivier Damette & Beum-Jo Park, 2015. "Tobin Tax and Volatility: A Threshold Quantile Autoregressive Regression Framework," Review of International Economics, Wiley Blackwell, vol. 23(5), pages 996-1022, November.
    18. Ewa M. Syczewska, 2014. "The EURPLN, DAX and WIG20: the Granger causality tests before and during the crisis," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 93-104.
    19. Dick van Dijk & Haris Munandar & Christian Hafner, 2011. "The euro introduction and noneuro currencies," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 95-116.
    20. Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(C).
    21. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2018. "Public information arrival, price discovery and dynamic correlations in the Chinese renminbi markets," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 168-186.
    22. Mougoué, Mbodja & Aggarwal, Raj, 2011. "Trading volume and exchange rate volatility: Evidence for the sequential arrival of information hypothesis," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2690-2703, October.
    23. Sucarrat, Genaro & Escribano, Álvaro, 2010. "The power log-GARCH model," UC3M Working papers. Economics we1013, Universidad Carlos III de Madrid. Departamento de Economía.
    24. Fayçal Hamdi & Saïd Souam, 2018. "Mixture periodic GARCH models: theory and applications," Empirical Economics, Springer, vol. 55(4), pages 1925-1956, December.
    25. Frömmel, Michael & Mende, Alexander & Menkhoff, Lukas, 2008. "Order flows, news, and exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 27(6), pages 994-1012, October.

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    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange

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