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Novel symbolic detection for flight-to-safety in Bitcoin and investigation of information flow dynamics alongside multiple markets

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  • Wang, Yuhan
  • Xiao, Di

Abstract

This paper employs novel symbolic methods to analyze asset price dynamics, focusing on Bitcoin alongside gold, bonds, stocks, and commodities to explore their interplay over the time period from 2015 to 2023. First, a new approach for detecting “flight to safety” (FTS) events is proposed, which is based on symbolizing asset returns to quantify substantial inverse price movements. Positioning Bitcoin as a hedging instrument to focus on its potential to attract capital in times of market turmoil, FTS events identified by the new approach effectively reflect major economic and political events, such as Brexit, the COVID-19 pandemic, and the Russia–Ukraine conflict. In addition, symbolic transfer entropy (STE) is utilized to analyze the information flow dynamics among these assets, revealing that Bitcoin primarily acts as a receiver of information. And in the first half of 2020, there are significant time-varying fluctuations in the flow of information. The most common providers of the largest information input for Bitcoin are the treasury bond index and precious metals of commodity index, overall, and this role alternates between bonds and different commodity indices when comparing across FTS post-quarter periods. An information flow network through maximum spanning tree visualization demonstrates Bitcoin’s central position as a hub of information receiver in general, yet in a dynamic perspective, Bitcoin tends to receive information from more diverse markets until 2020, the year of most evident FTS days, and has since narrowed markedly to absorbing information primarily from the commodity markets.

Suggested Citation

  • Wang, Yuhan & Xiao, Di, 2025. "Novel symbolic detection for flight-to-safety in Bitcoin and investigation of information flow dynamics alongside multiple markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 660(C).
  • Handle: RePEc:eee:phsmap:v:660:y:2025:i:c:s037843712500010x
    DOI: 10.1016/j.physa.2025.130358
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    as
    1. Demir, Ender & Gozgor, Giray & Lau, Chi Keung Marco & Vigne, Samuel A., 2018. "Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation," Finance Research Letters, Elsevier, vol. 26(C), pages 145-149.
    2. Chemkha, Rahma & BenSaïda, Ahmed & Ghorbel, Ahmed & Tayachi, Tahar, 2021. "Hedge and safe haven properties during COVID-19: Evidence from Bitcoin and gold," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 71-85.
    3. Christophe Boucher & Sessi Tokpavi, 2019. "Stocks and bonds: Flight-to-safety for ever?," Post-Print hal-03676595, HAL.
    4. Anders Stensås & Magnus Frostholm Nygaard & Khine Kyaw & Sirimon Treepongkaruna, 2019. "Can Bitcoin be a diversifier, hedge or safe haven tool?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1593072-159, January.
    5. He, Jiayi & Shang, Pengjian, 2017. "Comparison of transfer entropy methods for financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 772-785.
    6. Christophe Boucher & Sessi Tokpavi, 2019. "Stocks and Bonds: Flight-to-Safety for Ever?," Post-Print hal-02067096, HAL.
    7. Xiao, Di & Wang, Jun, 2020. "Dynamic complexity and causality of crude oil and major stock markets," Energy, Elsevier, vol. 193(C).
    8. Bouri, Elie & Hussain Shahzad, Syed Jawad & Roubaud, David, 2020. "Cryptocurrencies as hedges and safe-havens for US equity sectors," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 294-307.
    9. Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
    10. Ahmed, Rashad, 2023. "Flights-to-safety and macroeconomic adjustment in emerging markets: The role of U.S. monetary policy," Journal of International Money and Finance, Elsevier, vol. 133(C).
    11. Michael Wibral & Nicolae Pampu & Viola Priesemann & Felix Siebenhühner & Hannes Seiwert & Michael Lindner & Joseph T Lizier & Raul Vicente, 2013. "Measuring Information-Transfer Delays," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-19, February.
    12. Okyu Kwon & Jae-Suk Yang, 2008. "Information flow between stock indices," Papers 0802.1747, arXiv.org.
    13. Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
    14. Zhang, Wei-Guo & Liu, Yong-Jun & Xu, Wei-Jun, 2012. "A possibilistic mean-semivariance-entropy model for multi-period portfolio selection with transaction costs," European Journal of Operational Research, Elsevier, vol. 222(2), pages 341-349.
    15. Vayanos, Dimitri, 2004. "Flight to quality, flight to liquidity, and the pricing of risk," LSE Research Online Documents on Economics 456, London School of Economics and Political Science, LSE Library.
    16. Zunino, Luciano & Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 1-9.
    17. Cassio Neri & Lorenz Schneider, 2012. "Maximum entropy distributions inferred from option portfolios on an asset," Finance and Stochastics, Springer, vol. 16(2), pages 293-318, April.
    18. Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2011. "Controllability of complex networks," Nature, Nature, vol. 473(7346), pages 167-173, May.
    19. Park, Sangjin & Jang, Kwahngsoo & Yang, Jae-Suk, 2021. "Information flow between bitcoin and other financial assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    20. Boucher, Christophe & Tokpavi, Sessi, 2019. "Stocks and bonds: Flight-to-safety for ever?," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 27-43.
    21. Hunt, Julien & Devolder, Pierre, 2011. "Semi-Markov regime switching interest rate models and minimal entropy measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3767-3781.
    22. Urquhart, Andrew & Zhang, Hanxiong, 2019. "Is Bitcoin a hedge or safe haven for currencies? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 49-57.
    23. Jamal Bouoiyour & Refk Selmi, 2017. "Ether: Bitcoin's competitor or ally?," Working Papers hal-01567277, HAL.
    24. Shinya Ito & Michael E Hansen & Randy Heiland & Andrew Lumsdaine & Alan M Litke & John M Beggs, 2011. "Extending Transfer Entropy Improves Identification of Effective Connectivity in a Spiking Cortical Network Model," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-13, November.
    25. Costantini, Mauro & Sousa, Ricardo M., 2022. "What uncertainty does to euro area sovereign bond markets: Flight to safety and flight to quality," Journal of International Money and Finance, Elsevier, vol. 122(C).
    26. Yao, Wenpo & Wang, Jun, 2017. "Multi-scale symbolic transfer entropy analysis of EEG," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 276-281.
    27. Jin, Changlun & Tian, Xiujuan, 2024. "Enhanced safe-haven status of Bitcoin: Evidence from the Silicon Valley Bank collapse," Finance Research Letters, Elsevier, vol. 59(C).
    28. Bouri, Elie & Molnár, Peter & Azzi, Georges & Roubaud, David & Hagfors, Lars Ivar, 2017. "On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?," Finance Research Letters, Elsevier, vol. 20(C), pages 192-198.
    29. Sensoy, Ahmet & Sobaci, Cihat & Sensoy, Sadri & Alali, Fatih, 2014. "Effective transfer entropy approach to information flow between exchange rates and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 68(C), pages 180-185.
    30. Peng Yue & Qing Cai & Wanfeng Yan & Wei-Xing Zhou, 2020. "Information flow networks of Chinese stock market sectors," Papers 2004.08759, arXiv.org.
    31. Kwon, Okyu & Yang, Jae-Suk, 2008. "Information flow between composite stock index and individual stocks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2851-2856.
    32. Wang, Jingjing & Wang, Xiaoyang, 2021. "COVID-19 and financial market efficiency: Evidence from an entropy-based analysis," Finance Research Letters, Elsevier, vol. 42(C).
    33. Janus, Jakub, 2023. "Flights to safe assets in bond markets: Evidence from emerging market economies," Journal of International Money and Finance, Elsevier, vol. 139(C).
    34. Dimpfl, Thomas & Peter, Franziska J., 2014. "The impact of the financial crisis on transatlantic information flows: An intraday analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 1-13.
    35. Hunt, Julien & Devolder, Pierre, 2011. "Semi Markov regime switching interest rate models and minimal entropy measure," LIDAM Discussion Papers ISBA 2011010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    36. Dyhrberg, Anne Haubo, 2016. "Bitcoin, gold and the dollar – A GARCH volatility analysis," Finance Research Letters, Elsevier, vol. 16(C), pages 85-92.
    37. Pal, Debdatta & Mitra, Subrata K., 2019. "Hedging bitcoin with other financial assets," Finance Research Letters, Elsevier, vol. 30(C), pages 30-36.
    38. Conlon, Thomas & Corbet, Shaen & McGee, Richard J., 2020. "Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 54(C).
    39. Zheng, Zhiyong & Lu, Yunfan & Zhang, Junhuan, 2022. "Multiscale complexity fluctuation behaviours of stochastic interacting cryptocurrency price model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    40. Teng, Yue & Shang, Pengjian, 2017. "Transfer entropy coefficient: Quantifying level of information flow between financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 60-70.
    41. Dyhrberg, Anne Haubo, 2016. "Hedging capabilities of bitcoin. Is it the virtual gold?," Finance Research Letters, Elsevier, vol. 16(C), pages 139-144.
    42. Sang Hoon Kang & Seong-Min Yoon & Stelios Bekiros & Gazi S. Uddin, 2020. "Bitcoin as Hedge or Safe Haven: Evidence from Stock, Currency, Bond and Derivatives Markets," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 529-545, August.
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