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Event-driven changes in connectedness among commodities and commodity currencies: A quantile, network and probabilistic analysis

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  • Albrecht, Peter
  • Kočenda, Evžen
  • de Oliveira, Alexandre Silva
  • Ceretta, Paulo Sergio
  • Drábek, Michal

Abstract

We comprehensively analyze return connectedness among commodity currencies and commodities from 2010 to 2023. Our findings reveal iron, coal, and the Australian dollar as return transmitters to other currencies and commodities, particularly during economic downturns. By employing quantile analysis, we identify commodity currencies as net spillover receivers during periods of extreme economic turbulence. Additionally, we employ a novel testing bootstrap-after-bootstrap procedure and present the first statistically grounded evidence that endogenously identified specific shocks are behind increases in connectedness and correspond to systematic events in commodity markets. We find twelve endogenously chosen events corresponding to an escalation in return connectedness within a maximum of one business month following the event's occurrence. We also show that connectedness is linked to measures of uncertainty and liquidity that produce distinct impacts. Importantly, our results remain robust across various measures and carry significant implications for portfolio construction and risk management strategies.

Suggested Citation

  • Albrecht, Peter & Kočenda, Evžen & de Oliveira, Alexandre Silva & Ceretta, Paulo Sergio & Drábek, Michal, 2025. "Event-driven changes in connectedness among commodities and commodity currencies: A quantile, network and probabilistic analysis," Research in International Business and Finance, Elsevier, vol. 75(C).
  • Handle: RePEc:eee:riibaf:v:75:y:2025:i:c:s0275531925000376
    DOI: 10.1016/j.ribaf.2025.102781
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    as
    1. repec:dau:papers:123456789/11708 is not listed on IDEAS
    2. Fuentes, Fernanda & Herrera, Rodrigo & Clements, Adam, 2018. "Modeling extreme risks in commodities and commodity currencies," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 108-120.
    3. 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.
    4. Fulvio Corsi & Roberto Renò, 2012. "Discrete-Time Volatility Forecasting With Persistent Leverage Effect and the Link With Continuous-Time Volatility Modeling," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 368-380, January.
    5. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan, 2017. "Dynamic spillover between commodities and commodity currencies during United States Q.E," Energy Economics, Elsevier, vol. 66(C), pages 399-410.
    6. Tran, Quoc Trung, 2019. "Economic policy uncertainty and corporate risk-taking: International evidence," Journal of Multinational Financial Management, Elsevier, vol. 52.
    7. Baruník, Jozef & Ellington, Michael, 2024. "Persistence in financial connectedness and systemic risk," European Journal of Operational Research, Elsevier, vol. 314(1), pages 393-407.
    8. Bodart, Vincent & Carpantier, Jean-François, 2023. "Currency crises in emerging countries: The commodity factor," Journal of Commodity Markets, Elsevier, vol. 30(C).
    9. Lubos Pástor & Pietro Veronesi, 2012. "Uncertainty about Government Policy and Stock Prices," Journal of Finance, American Finance Association, vol. 67(4), pages 1219-1264, August.
    10. Angelos Kanas, 2000. "Volatility Spillovers Between Stock Returns and Exchange Rate Changes: International Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 27(3‐4), pages 447-467, April.
    11. Garcia, René & Tsafack, Georges, 2011. "Dependence structure and extreme comovements in international equity and bond markets," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 1954-1970, August.
    12. Saurabh Ghosh, 2014. "Volatility spillover in the foreign exchange market: the Indian experience," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 7(1), pages 175-194, March.
    13. 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).
    14. Julien Chevallier & Florian Ielpo, 2013. "Volatility spillovers in commodity markets," Applied Economics Letters, Taylor & Francis Journals, vol. 20(13), pages 1211-1227, September.
    15. Zhang, Jiahao & Chen, Xiaodan & Wei, Yu & Bai, Lan, 2023. "Does the connectedness among fossil energy returns matter for renewable energy stock returns? Fresh insights from the Cross-Quantilogram analysis," International Review of Financial Analysis, Elsevier, vol. 88(C).
    16. 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).
    17. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    18. M. Ben Osman & C. Urom & K. Guesmi & R. Benkraiem, 2024. "Economic sentiment and the cryptocurrency market in the post-COVID-19 era," Post-Print hal-04631232, HAL.
    19. Giovanni Dell'Ariccia, 1999. "Exchange Rate Fluctuations and Trade Flows: Evidence from the European Union," IMF Staff Papers, Palgrave Macmillan, vol. 46(3), pages 1-5.
    20. Uluceviz, Erhan & Yilmaz, Kamil, 2021. "Measuring real–financial connectedness in the U.S. economy," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    21. Peter Albrecht & Svatopluk Kapounek & Zuzana Kučerová, 2023. "Economic policy uncertainty and stock markets’ co‐movements," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3471-3487, October.
    22. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    23. Chakravorty, Ujjayant & Magne, Bertrand & Moreaux, Michel, 2006. "A Hotelling model with a ceiling on the stock of pollution," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2875-2904, December.
    24. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    25. 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.
    26. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
    27. Dai, Xingyu & Dai, Peng-Fei & Wang, Qunwei & Ouyang, Zhi-Yi, 2023. "The impact of energy-exporting countries’ EPUs on China’s energy futures investors: Risk preference, investment position and investment horizon," Research in International Business and Finance, Elsevier, vol. 64(C).
    28. Nelson Camanho & Harald Hau & Hélène Rey, 2022. "Global Portfolio Rebalancing and Exchange Rates," The Review of Financial Studies, Society for Financial Studies, vol. 35(11), pages 5228-5274.
    29. 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.
    30. Bostanci, Gorkem & Yilmaz, Kamil, 2020. "How connected is the global sovereign credit risk network?," Journal of Banking & Finance, Elsevier, vol. 113(C).
    31. King, Mervyn & Sentana, Enrique & Wadhwani, Sushil, 1994. "Volatility and Links between National Stock Markets," Econometrica, Econometric Society, vol. 62(4), pages 901-933, July.
    32. Albrecht, Peter & Kočenda, Evžen, 2024. "Volatility connectedness on the central European forex markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    33. Kočenda, Evžen & Moravcová, Michala, 2024. "Frequency volatility connectedness and portfolio hedging of U.S. energy commodities," Research in International Business and Finance, Elsevier, vol. 69(C).
    34. Wu, Guojun, 2001. "The Determinants of Asymmetric Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 14(3), pages 837-859.
    35. Lin, Boqiang & Chen, Yufang, 2019. "Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: A case of Beijing CET market in China," Energy, Elsevier, vol. 172(C), pages 1198-1210.
    36. Anella Munro, 2004. "What drives the New Zealand dollar?," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 67, june.
    37. Aastveit, Knut Are & Natvik, Gisle James & Sola, Sergio, 2017. "Economic uncertainty and the influence of monetary policy," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 50-67.
    38. Tomohiro Ando & Matthew Greenwood-Nimmo & Yongcheol Shin, 2022. "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks," Management Science, INFORMS, vol. 68(4), pages 2401-2431, April.
    39. Zhang, Yongmin & Wang, Ruizhi, 2022. "COVID-19 impact on commodity futures volatilities," Finance Research Letters, Elsevier, vol. 47(PA).
    40. Belasen, Ariel R. & Demirer, Rıza, 2019. "Commodity-currencies or currency-commodities: Evidence from causality tests," Resources Policy, Elsevier, vol. 60(C), pages 162-168.
    41. Wu, Ruirui & Qin, Zhongfeng & Liu, Bing-Yue, 2023. "Connectedness between carbon and sectoral commodity markets: Evidence from China," Research in International Business and Finance, Elsevier, vol. 66(C).
    42. Yin, Libo & Su, Zhi & Lu, Man, 2022. "Is oil risk important for commodity-related currency returns?," Research in International Business and Finance, Elsevier, vol. 60(C).
    43. Arsham Reisinezhad, 2024. "The Dutch disease revisited: consistency of theory and evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(3), pages 553-603, March.
    44. 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.
    45. Nelson, James M. & Moffitt, Jacquelyn Sue & Affleck-Graves, John, 2005. "The impact of hedging on the market value of equity," Journal of Corporate Finance, Elsevier, vol. 11(5), pages 851-881, October.
    46. Feunou, Bruno & Okou, Cédric, 2019. "Good Volatility, Bad Volatility, and Option Pricing," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(2), pages 695-727, April.
    47. Bork, Lasse & Kaltwasser, Pablo Rovira & Sercu, Piet, 2022. "Aggregation bias in tests of the commodity currency hypothesis," Journal of Banking & Finance, Elsevier, vol. 135(C).
    48. Li, Xiafei & Li, Bo & Wei, Guiwu & Bai, Lan & Wei, Yu & Liang, Chao, 2021. "Return connectedness among commodity and financial assets during the COVID-19 pandemic: Evidence from China and the US," Resources Policy, Elsevier, vol. 73(C).
    49. Chowdhury, Mohammad Ashraful Ferdous & Meo, Muhammad Saeed & Aloui, Chaker, 2021. "How world uncertainties and global pandemics destabilized food, energy and stock markets? Fresh evidence from quantile on quantile regressions," International Review of Financial Analysis, Elsevier, vol. 76(C).
    50. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    51. Kai Chen & Dongwon Lee, 2023. "Commodity currency reactions and the Dutch disease: the role of capital controls," Empirical Economics, Springer, vol. 65(5), pages 2065-2089, November.
    52. Osman, Myriam Ben & Urom, Christian & Guesmi, Khaled & Benkraiem, Ramzi, 2024. "Economic sentiment and the cryptocurrency market in the post-COVID-19 era," International Review of Financial Analysis, Elsevier, vol. 91(C).
    53. Jayasinghe, Prabhath & Tsui, Albert K., 2008. "Exchange rate exposure of sectoral returns and volatilities: Evidence from Japanese industrial sectors," Japan and the World Economy, Elsevier, vol. 20(4), pages 639-660, December.
    54. Thomas J. Fisher & Colin M. Gallagher, 2012. "New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 777-787, June.
    55. BenMabrouk, Houda & Sassi, Syrine & Soltane, Feriel & Abid, Ilyes, 2024. "Connectedness and portfolio hedging between NFTs segments, American stocks and cryptocurrencies Nexus," International Review of Financial Analysis, Elsevier, vol. 91(C).
    56. Petrova, Katerina, 2019. "A quasi-Bayesian local likelihood approach to time varying parameter VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 286-306.
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    More about this item

    Keywords

    Return connectedness; Commodities; Commodity currencies; Return spillovers;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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