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Safe flight to which haven when Russia invades Ukraine? A 48-hour story

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  • Mohamad, Azhar

Abstract

We examine the flight-to-safety phenomenon from ruble (risky asset) to other safe-haven assets at the onset of the Russian invasion of Ukraine on 24 February 2022. We find evidence of flight-to-safe-haven occurrences from the ruble to the USD, yen, silver, Brent, WTI and natural gas as indicated by negative dynamic conditional correlations between these assets. Price discovery surrounding the invasion is found to be dominated by Brent and bitcoin. Further, we observe the presence of herding behaviours between energy commodities (Brent, WTI, gasoline and natural gas) and cryptocurrencies (bitcoin, ethereum and litecoin).

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  • Mohamad, Azhar, 2022. "Safe flight to which haven when Russia invades Ukraine? A 48-hour story," Economics Letters, Elsevier, vol. 216(C).
  • Handle: RePEc:eee:ecolet:v:216:y:2022:i:c:s0165176522001598
    DOI: 10.1016/j.econlet.2022.110558
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    1. Putniņš, Tālis J., 2013. "What do price discovery metrics really measure?," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 68-83.
    2. Ricardo J. Caballero & Arvind Krishnamurthy, 2008. "Collective Risk Management in a Flight to Quality Episode," Journal of Finance, American Finance Association, vol. 63(5), pages 2195-2230, October.
    3. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    4. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    5. Mensi, Walid & Sensoy, Ahmet & Aslan, Aylin & Kang, Sang Hoon, 2019. "High-frequency asymmetric volatility connectedness between Bitcoin and major precious metals markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    6. Jamal Bouoiyour & Refk Selmi & Mark E. Wohar, 2019. "Safe havens in the face of Presidential election uncertainty: A comparison between Bitcoin, oil and precious metals," Applied Economics, Taylor & Francis Journals, vol. 51(57), pages 6076-6088, December.
    7. Alan Greenspan, 2004. "Risk and Uncertainty in Monetary Policy," American Economic Review, American Economic Association, vol. 94(2), pages 33-40, May.
    8. Manuel Hoffmann & Matthias Neuenkirch, 2017. "The pro-Russian conflict and its impact on stock returns in Russia and the Ukraine," International Economics and Economic Policy, Springer, vol. 14(1), pages 61-73, January.
    9. Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
    10. Chan, Kalok & Yang, Jian & Zhou, Yinggang, 2018. "Conditional co-skewness and safe-haven currencies: A regime switching approach," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 58-80.
    11. Demirer, RIza & Kutan, Ali M., 2006. "Does herding behavior exist in Chinese stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(2), pages 123-142, April.
    12. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
    13. Joseph Santos, 2002. "Did Futures Markets Stabilise US Grain Prices?," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(1), pages 25-36, March.
    14. Naeem, Muhammad Abubakr & Hasan, Mudassar & Arif, Muhammad & Suleman, Muhammad Tahir & Kang, Sang Hoon, 2022. "Oil and gold as a hedge and safe-haven for metals and agricultural commodities with portfolio implications," Energy Economics, Elsevier, vol. 105(C).
    15. Papadamou, Stephanos & Kyriazis, Nikolaos A. & Tzeremes, Panayiotis & Corbet, Shaen, 2021. "Herding behaviour and price convergence clubs in cryptocurrencies during bull and bear markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    16. Cho, Jae-Beom & Min, Hong-Ghi & McDonald, Judith Ann, 2020. "Volatility and dynamic currency hedging," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    17. Suleman, Muhammad Tahir & McIver, Ron & Kang, Sang Hoon, 2021. "Asymmetric volatility connectedness between Islamic stock and commodity markets," Global Finance Journal, Elsevier, vol. 49(C).
    18. Vassilios Babalos & Stavros Stavroyiannis & Rangan Gupta, 2015. "Do Commodities Herd? Evidence from a Time-Varying Stochastic Volatility Model," Working Papers 201554, University of Pretoria, Department of Economics.
    19. Donald Lien & Keshab Shrestha, 2009. "A new information share measure," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 29(4), pages 377-395, April.
    20. Babalos, Vassilios & Stavroyiannis, Stavros & Gupta, Rangan, 2015. "Do commodity investors herd? Evidence from a time-varying stochastic volatility model," Resources Policy, Elsevier, vol. 46(P2), pages 281-287.
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    7. Batten, Jonathan A. & Boubaker, Sabri & Kinateder, Harald & Choudhury, Tonmoy & Wagner, Niklas F., 2023. "Volatility impacts on global banks: Insights from the GFC, COVID-19, and the Russia-Ukraine war," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 325-350.
    8. Kashif Zaheer & Faheem Aslam & Yasir Tariq Mohmand & Paulo Ferreira, 2024. "On the Dynamic Changes in the Global Stock Markets’ Network during the Russia–Ukraine War," Economies, MDPI, vol. 12(2), pages 1-27, February.
    9. Piotr Fiszeder & Marta Ma³ecka, 2022. "Forecasting volatility during the outbreak of Russian invasion of Ukraine: application to commodities, stock indices, currencies, and cryptocurrencies," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(4), pages 939-967, December.
    10. Nerlinger, Martin & Utz, Sebastian, 2022. "The impact of the Russia-Ukraine conflict on energy firms: A capital market perspective," Finance Research Letters, Elsevier, vol. 50(C).
    11. Lien, Donald, 2022. "Comparisons of Alternative Information Share Measures," Finance Research Letters, Elsevier, vol. 50(C).
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    15. Mohamad, Azhar & Fromentin, Vincent, 2023. "Herd and causality dynamics between energy commodities and ethical investment: Evidence from the different phases of the COVID-19 pandemic," Energy Economics, Elsevier, vol. 126(C).
    16. Domenico Depalo, 2024. "Gloomy expectations after the invasion of Ukraine," Empirical Economics, Springer, vol. 67(1), pages 97-109, July.
    17. Huang, Jie & Cao, Yu & Zhong, Pengshu, 2022. "Searching for a safe haven to crude oil: Green bond or precious metals?," Finance Research Letters, Elsevier, vol. 50(C).
    18. Md. Kausar Alam & Mosab I. Tabash & Mabruk Billah & Sanjeev Kumar & Suhaib Anagreh, 2022. "The Impacts of the Russia–Ukraine Invasion on Global Markets and Commodities: A Dynamic Connectedness among G7 and BRIC Markets," JRFM, MDPI, vol. 15(8), pages 1-20, August.
    19. Pandey, Dharen Kumar & Assaf, Rima & Rai, Varun Kumar, 2023. "Did the Indian stock market sail the Russia-Ukraine storm safely?," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    20. Mejri, Sami & Aloui, Chaker & Khan, Nasir, 2024. "The gold stock nexus: Assessing the causality dynamics based on advanced multiscale approaches," Resources Policy, Elsevier, vol. 88(C).
    21. Kamal, Md Rajib & Wahlstrøm, Ranik Raaen, 2023. "Cryptocurrencies and the threat versus the act event of geopolitical risk," Finance Research Letters, Elsevier, vol. 57(C).
    22. Rivera-Alonso, David & Iglesias, Emma M., 2024. "Is the Chinese crude oil spot price a good hedging tool for other crude oil prices, and in special for the main Russian oil benchmarks and during international sanctions?," Resources Policy, Elsevier, vol. 90(C).

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    More about this item

    Keywords

    Flight-to-safety; Safe haven; Ruble; Bitcoin; Price discovery; Herding;
    All these keywords.

    JEL classification:

    • 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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