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Intraday volatility connectedness on the forex market: the role of uncertainty

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  • Rubaszek, Michał
  • Szafranek, Karol
  • Uddin, Gazi Salah

Abstract

We quantify intraday volatility connectedness between major currencies and assess how it is related to various uncertainty measures. For that purpose, we integrate the well-known Diebold-Yilmaz spillover methodology with a TVP VAR model estimated on a unique, vast dataset of over 460K five-minute quotations from Jan. 1, 2018 to Feb. 29, 2024 for five most heavily traded currency pairs of USD against EUR, JPY, AUD, CAD and GBP. In contrast to existing studies, which either use data of lower sampling frequency or employ high-frequency data only to calculate daily realized moments, we use intraday data directly for model estimation. This enables us to show that volatility connectedness at intraday frequency presents a complementary picture to estimates based on daily data. Within the quantile regression framework we demonstrate that the level of total intraday connectedness is affected by the level of uncertainty proxied by the implied volatility at stock markets. Our study highlights the importance of using high-frequency data in order to better understand forex market dynamics.

Suggested Citation

  • Rubaszek, Michał & Szafranek, Karol & Uddin, Gazi Salah, 2025. "Intraday volatility connectedness on the forex market: the role of uncertainty," Journal of International Money and Finance, Elsevier, vol. 157(C).
  • Handle: RePEc:eee:jimfin:v:157:y:2025:i:c:s0261560625001330
    DOI: 10.1016/j.jimonfin.2025.103398
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    1. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    2. Beckmann, Joscha & Czudaj, Robert, 2017. "The impact of uncertainty on professional exchange rate forecasts," Journal of International Money and Finance, Elsevier, vol. 73(PB), pages 296-316.
    3. Antonakakis, Nikolaos & Cunado, Juncal & Filis, George & Gabauer, David & Perez de Gracia, Fernando, 2018. "Oil volatility, oil and gas firms and portfolio diversification," Energy Economics, Elsevier, vol. 70(C), pages 499-515.
    4. Andres Algaba & David Ardia & Keven Bluteau & Samuel Borms & Kris Boudt, 2020. "Econometrics Meets Sentiment: An Overview Of Methodology And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 512-547, July.
    5. Huynh, Toan Luu Duc & Nasir, Muhammad Ali & Nguyen, Duc Khuong, 2023. "Spillovers and connectedness in foreign exchange markets: The role of trade policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 191-199.
    6. Lastauskas, Povilas & Nguyen, Anh Dinh Minh, 2023. "Global impacts of US monetary policy uncertainty shocks," Journal of International Economics, Elsevier, vol. 145(C).
    7. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    8. Wu, Hao & Zhu, Huiming & Huang, Fei & Mao, Weifang, 2023. "How does economic policy uncertainty drive time–frequency connectedness across commodity and financial markets?," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    9. Akbulut Nesrin & Ari Yakup, 2023. "TVP-VAR Frequency Connectedness Between the Foreign Exchange Rates of Non-Euro Area Member Countries," Folia Oeconomica Stetinensia, Sciendo, vol. 23(2), pages 1-23, December.
    10. Jozef Baruník & Evžen KoÄ enda, 2019. "Total, Asymmetric and Frequency Connectedness between Oil and Forex Markets," The Energy Journal, , vol. 40(2_suppl), pages 157-174, December.
    11. Chuliá, Helena & Fernández, Julián & Uribe, Jorge M., 2018. "Currency downside risk, liquidity, and financial stability," Journal of International Money and Finance, Elsevier, vol. 89(C), pages 83-102.
    12. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    13. Jalloul, Maya & Miescu, Mirela, 2023. "Equity market connectedness across regimes of geopolitical risks: Historical evidence and theory," Journal of International Money and Finance, Elsevier, vol. 137(C).
    14. Akyildirim, Erdinc & Cepni, Oguzhan & Molnár, Peter & Uddin, Gazi Salah, 2022. "Connectedness of energy markets around the world during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 109(C).
    15. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Yaya, OlaOluwa S. & Al-Faryan, Mamdouh Abdulaziz Saleh, 2022. "Does oil connect differently with prominent assets during war? Analysis of intra-day data during the Russia-Ukraine saga," Resources Policy, Elsevier, vol. 77(C).
    16. Kamesh Anand K & Aswini Kumar Mishra, 2023. "Market Connectedness and Volatility Spillovers: A Meta-Literature Review," Commodities, MDPI, vol. 2(3), pages 1-19, June.
    17. Bubák, Vít & Kocenda, Evzen & Zikes, Filip, 2011. "Volatility transmission in emerging European foreign exchange markets," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2829-2841, November.
    18. Albrecht, Peter & Kočenda, Evžen, 2025. "Event-driven changes in volatility connectedness in global forex markets," Journal of Multinational Financial Management, Elsevier, vol. 77(C).
    19. Kseniya Bortnikova & Josef Bajzik & Evzen Kocenda, 2025. "How Do Event Studies Capture Impact of Macroeconomic News in Forex Market? A meta-Analysis," Working Papers IES 2025/01, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2025.
    20. Georgiadis, Georgios & Müller, Gernot J. & Schumann, Ben, 2024. "Global risk and the dollar," Journal of Monetary Economics, Elsevier, vol. 144(C).
    21. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    22. Wen, Tiange & Wang, Gang-Jin, 2020. "Volatility connectedness in global foreign exchange markets," Journal of Multinational Financial Management, Elsevier, vol. 54(C).
    23. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2017. "Asymmetric volatility connectedness on the forex market," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 39-56.
    24. repec:iae:iaewps:wp2016n4 is not listed on IDEAS
    25. Albrecht, Peter & Kočenda, Evžen, 2024. "Volatility connectedness on the central European forex markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    26. Koop, Gary & Korobilis, Dimitris, 2014. "A new index of financial conditions," European Economic Review, Elsevier, vol. 71(C), pages 101-116.
    27. Fratzscher, Marcel, 2006. "On the long-term effectiveness of exchange rate communication and interventions," Journal of International Money and Finance, Elsevier, vol. 25(1), pages 146-167, February.
    28. Kočenda, Evžen & Moravcová, Michala, 2019. "Exchange rate comovements, hedging and volatility spillovers on new EU forex markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 42-64.
    29. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    30. Tjeerd M. Boonman & Jens C. Fittje, 2025. "Connectedness in exchange rates and news sentiment in the Asia‐Pacific region," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 2389-2406, July.
    31. Antonakakis, Nikolaos & Kizys, Renatas, 2015. "Dynamic spillovers between commodity and currency markets," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 303-319.
    32. Antonakakis, Nikolaos, 2012. "Exchange return co-movements and volatility spillovers before and after the introduction of euro," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1091-1109.
    33. Demirer, Riza & Omay, Tolga & Yuksel, Asli & Yuksel, Aydin, 2018. "Global risk aversion and emerging market return comovements," Economics Letters, Elsevier, vol. 173(C), pages 118-121.
    34. Mensi, Walid & Ali, Syed Riaz Mahmood & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Multiscale dependence, spillovers, and connectedness between precious metals and currency markets: A hedge and safe-haven analysis," Resources Policy, Elsevier, vol. 77(C).
    35. Farid, Saqib & Kayani, Ghulam Mujtaba & Naeem, Muhammad Abubakr & Shahzad, Syed Jawad Hussain, 2021. "Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 72(C).
    36. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
    37. Anwer, Zaheer & Naeem, Muhammad Abubakr & Hassan, M. Kabir & Karim, Sitara, 2022. "Asymmetric connectedness across Asia-Pacific currencies: Evidence from time-frequency domain analysis," Finance Research Letters, Elsevier, vol. 47(PB).
    38. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2021. "How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques," Resources Policy, Elsevier, vol. 70(C).
    39. repec:aen:journl:ej40-si2-barunik is not listed on IDEAS
    40. Greenwood-Nimmo, Matthew & Nguyen, Viet Hoang & Rafferty, Barry, 2016. "Risk and return spillovers among the G10 currencies," Journal of Financial Markets, Elsevier, vol. 31(C), pages 43-62.
    41. Dai, Zhifeng & Zhu, Haoyang, 2023. "Dynamic risk spillover among crude oil, economic policy uncertainty and Chinese financial sectors," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 421-450.
    42. Szafranek, Karol & Rubaszek, Michał & Uddin, Gazi Salah, 2024. "The role of uncertainty and sentiment for intraday volatility connectedness between oil and financial markets," Energy Economics, Elsevier, vol. 137(C).
    43. Wan, Yang & He, Shi, 2021. "Dynamic connectedness of currencies in G7 countries: A Bayesian time-varying approach," Finance Research Letters, Elsevier, vol. 41(C).
    44. Koop, Gary & Korobilis, Dimitris, 2013. "Large time-varying parameter VARs," Journal of Econometrics, Elsevier, vol. 177(2), pages 185-198.
    45. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    46. Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
    47. Kočenda, Evžen & Moravcová, Michala, 2018. "Intraday effect of news on emerging European forex markets: An event study analysis," Economic Systems, Elsevier, vol. 42(4), pages 597-615.
    48. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    49. Greenwood-Nimmo, Matthew & Kočenda, Evžen & Nguyen, Viet Hoang, 2024. "Detecting statistically significant changes in connectedness: A bootstrap-based technique," Economic Modelling, Elsevier, vol. 140(C).
    50. Corbet, Shaen & Goodell, John W. & Günay, Samet, 2020. "Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19," Energy Economics, Elsevier, vol. 92(C).
    51. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2016. "Asymmetric connectedness on the U.S. stock market: Bad and good volatility spillovers," Journal of Financial Markets, Elsevier, vol. 27(C), pages 55-78.
    52. Szafranek, Karol & Papież, Monika & Rubaszek, Michał & Śmiech, Sławomir, 2023. "How immune is the connectedness of European natural gas markets to exceptional shocks?," Resources Policy, Elsevier, vol. 85(PA).
    53. Albulescu, Claudiu Tiberiu & Demirer, Riza & Raheem, Ibrahim D. & Tiwari, Aviral Kumar, 2019. "Does the U.S. economic policy uncertainty connect financial markets? Evidence from oil and commodity currencies," Energy Economics, Elsevier, vol. 83(C), pages 375-388.
    54. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
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    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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