IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v61y2024ics1544612323013272.html
   My bibliography  Save this article

A comparative analysis of the price explosiveness in Bitcoin and forked coins

Author

Listed:
  • Kong, Xiaolin
  • Ma, Chaoqun
  • Ren, Yi-Shuai
  • Baltas, Konstantinos
  • Narayan, Seema

Abstract

This study employs the PSY method to detect the price bubble of Bitcoin (BTC) and its forked coins. The statistical relationship between BTC and its forked coins is then calculated using Pearson correlation coefficients and six distance measurement methods. The findings indicate that (1) BTC has more bubbles with longer periods. In contrast, certain forked coins do not have bubbles; (2) The correlation between the price bubble of BTC and several forked coins is significant; (3) From the distance of binary time series, Bitcoin Cash and BTC are the closest, while Bitcoin SV is the farthest from BTC.

Suggested Citation

  • Kong, Xiaolin & Ma, Chaoqun & Ren, Yi-Shuai & Baltas, Konstantinos & Narayan, Seema, 2024. "A comparative analysis of the price explosiveness in Bitcoin and forked coins," Finance Research Letters, Elsevier, vol. 61(C).
    • Handle: RePEc:eee:finlet:v:61:y:2024:i:c:s1544612323013272
    DOI: 10.1016/j.frl.2023.104955
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323013272
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2023.104955?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1043-1078, November.
    2. Benjamin D. Trump & Emily Wells & Joshua Trump & Igor Linkov, 2018. "Cryptocurrency: governance for what was meant to be ungovernable," Environment Systems and Decisions, Springer, vol. 38(3), pages 426-430, September.
    3. Elsayed, Ahmed H. & Gozgor, Giray & Yarovaya, Larisa, 2022. "Volatility and return connectedness of cryptocurrency, gold, and uncertainty: Evidence from the cryptocurrency uncertainty indices," Finance Research Letters, Elsevier, vol. 47(PB).
    4. Peter C. B. Phillips & Yangru Wu & Jun Yu, 2011. "EXPLOSIVE BEHAVIOR IN THE 1990s NASDAQ: WHEN DID EXUBERANCE ESCALATE ASSET VALUES?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(1), pages 201-226, February.
    5. Marco Alberto Javarone & Craig Steven Wright, 2018. "From Bitcoin to Bitcoin Cash: a network analysis," Papers 1804.02350, arXiv.org, revised Jul 2018.
    6. Corbet, Shaen & Lucey, Brian & Yarovaya, Larisa, 2018. "Datestamping the Bitcoin and Ethereum bubbles," Finance Research Letters, Elsevier, vol. 26(C), pages 81-88.
    7. Anders Johansen & Olivier Ledoit & Didier Sornette, 2000. "Crashes As Critical Points," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 219-255.
    8. John M. Griffin & Amin Shams, 2020. "Is Bitcoin Really Untethered?," Journal of Finance, American Finance Association, vol. 75(4), pages 1913-1964, August.
    9. Nick Arnosti & S. Matthew Weinberg, 2022. "Bitcoin: A Natural Oligopoly," Management Science, INFORMS, vol. 68(7), pages 4755-4771, July.
    10. Yanhao (Max) Wei & Anthony Dukes, 2021. "Cryptocurrency Adoption with Speculative Price Bubbles," Marketing Science, INFORMS, vol. 40(2), pages 241-260, March.
    11. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Limit Theory Of Real‐Time Detectors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1079-1134, November.
    12. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1043-1078, November.
    13. Shahzad, Syed Jawad Hussain & Anas, Muhammad & Bouri, Elie, 2022. "Price explosiveness in cryptocurrencies and Elon Musk's tweets," Finance Research Letters, Elsevier, vol. 47(PB).
    14. Lucey, Brian M. & Vigne, Samuel A. & Yarovaya, Larisa & Wang, Yizhi, 2022. "The cryptocurrency uncertainty index," Finance Research Letters, Elsevier, vol. 45(C).
    15. Emiliano S Pagnotta, 2022. "Decentralizing Money: Bitcoin Prices and Blockchain Security," The Review of Financial Studies, Society for Financial Studies, vol. 35(2), pages 866-907.
    16. Bouri, Elie & Shahzad, Syed Jawad Hussain & Roubaud, David, 2019. "Co-explosivity in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 29(C), pages 178-183.
    17. Yizhi Wang & Brian Lucey & Samuel Alexandre Vigne & Larisa Yarovaya, 2022. "An index of cryptocurrency environmental attention (ICEA)," China Finance Review International, Emerald Group Publishing Limited, vol. 12(3), pages 378-414, January.
    18. Geuder, Julian & Kinateder, Harald & Wagner, Niklas F., 2019. "Cryptocurrencies as financial bubbles: The case of Bitcoin," Finance Research Letters, Elsevier, vol. 31(C).
    19. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Limit Theory Of Real‐Time Detectors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1079-1134, November.
    20. Yao, Can-Zhong & Li, Hong-Yu, 2021. "A study on the bursting point of Bitcoin based on the BSADF and LPPLS methods," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    21. Kyriazis, Nikolaos & Papadamou, Stephanos & Corbet, Shaen, 2020. "A systematic review of the bubble dynamics of cryptocurrency prices," Research in International Business and Finance, Elsevier, vol. 54(C).
    22. Ghabri, Yosra & Guesmi, Khaled & Zantour, Ahlem, 2021. "Bitcoin and liquidity risk diversification," Finance Research Letters, Elsevier, vol. 40(C).
    23. Alessandra Cretarola & Gianna Figà-Talamanca, 2021. "Detecting bubbles in Bitcoin price dynamics via market exuberance," Annals of Operations Research, Springer, vol. 299(1), pages 459-479, April.
    24. Neveen Ahmed & Omar Farooq & Nidaa Hamed, 2023. "Relation Between Bitcoin and Its Forks: An Empirical Investigation," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 49(2), pages 249-261, April.
    25. Hinzen, Franz J. & John, Kose & Saleh, Fahad, 2022. "Bitcoin’s limited adoption problem," Journal of Financial Economics, Elsevier, vol. 144(2), pages 347-369.
    26. Yi, Eojin & Cho, Yerim & Sohn, Sungbin & Ahn, Kwangwon, 2021. "After the Splits: Information Flow between Bitcoin and Bitcoin Family," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    27. Yukun Liu & Aleh Tsyvinski & Xi Wu, 2022. "Common Risk Factors in Cryptocurrency," Journal of Finance, American Finance Association, vol. 77(2), pages 1133-1177, April.
    28. Baur, Dirk G. & Hong, KiHoon & Lee, Adrian D., 2018. "Bitcoin: Medium of exchange or speculative assets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 54(C), pages 177-189.
    29. J. Gower & P. Legendre, 1986. "Metric and Euclidean properties of dissimilarity coefficients," Journal of Classification, Springer;The Classification Society, vol. 3(1), pages 5-48, March.
    30. Yizhi Wang & Florian Horky & Lennart J. Baals & Brian M. Lucey & Samuel A. Vigne, 2022. "Bubbles all the way down? Detecting and date-stamping bubble behaviours in NFT and DeFi markets," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 20(4), pages 415-436, October.
    31. Walid Mensi & Mariya Gubareva & Hee-Un Ko & Xuan Vinh Vo & Sang Hoon Kang, 2023. "Tail spillover effects between cryptocurrencies and uncertainty in the gold, oil, and stock markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    32. Gustavsson, Marcus & Levén, Daniel & Sjögren, Hans, 2016. "The timing of the popping: using the log-periodic power law model to predict the bursting of bubbles on financial markets," Financial History Review, Cambridge University Press, vol. 23(2), pages 193-217, August.
    33. Hu, Yang & Valera, Harold Glenn A. & Oxley, Les, 2019. "Market efficiency of the top market-cap cryptocurrencies: Further evidence from a panel framework," Finance Research Letters, Elsevier, vol. 31(C), pages 138-145.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Su, Chi-Wei & Yang, Shengyao & Ren, Yi-Shuai, 2024. "Economic policy uncertainty and company stock prices: Empirical evidence from blockchain companies," Finance Research Letters, Elsevier, vol. 65(C).
    2. Abakah, Emmanuel Joel Aikins & Wali Ullah, G M & Abdullah, Mohammad & Lee, Chi-Chuan & Sulong, Zunaidah, 2024. "Correlation structure between fiat currencies and blockchain assets," Finance Research Letters, Elsevier, vol. 62(PA).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Bin-xia & Sun, Yan-lin, 2024. "Risk characteristics and connectedness in cryptocurrency markets: New evidence from a non-linear framework," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    2. Podhorsky, Andrea, 2024. "Bursting the bitcoin bubble: Do market prices reflect fundamental bitcoin value?," International Review of Financial Analysis, Elsevier, vol. 93(C).
    3. Assaf, Ata & Demir, Ender & Ersan, Oguz, 2024. "Detecting and date-stamping bubbles in fan tokens," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 98-113.
    4. Bellón, Carlos & Figuerola-Ferretti, Isabel, 2022. "Bubbles in Ethereum," Finance Research Letters, Elsevier, vol. 46(PB).
    5. Wu, Zewen, 2024. "Are we in a bubble? Financial vulnerabilities in semiconductor, Web3, and genetic engineering markets," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 32-44.
    6. Chen, Yan & Zhang, Lei & Bouri, Elie, 2024. "Co-Bubble transmission across clean and dirty Cryptocurrencies: Network and portfolio analysis," Journal of International Money and Finance, Elsevier, vol. 145(C).
    7. Li, Yi & Zhang, Wei & Urquhart, Andrew & Wang, Pengfei, 2022. "The role of media coverage in the bubble formation: Evidence from the Bitcoin market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    8. Cervera, Ignacio & Figuerola-Ferretti, Isabel, 2024. "Credit risk and bubble behavior of credit default swaps in the corporate energy sector," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 702-731.
    9. Yang, Hui & Ferrer, Román, 2023. "Explosive behavior in the Chinese stock market: A sectoral analysis," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).
    10. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & David Martinez-Rego & Fan Wu & Lingbo Li, 2022. "Cryptocurrency trading: a comprehensive survey," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-59, December.
    11. Chowdhury, Md Shahedur R. & Damianov, Damian S., 2024. "Uncertainty and bubbles in cryptocurrencies: Evidence from newly developed uncertainty indices," International Review of Financial Analysis, Elsevier, vol. 91(C).
    12. Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021. "Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
    13. Caravello, Tomas E. & Psaradakis, Zacharias & Sola, Martin, 2023. "Rational bubbles: Too many to be true?," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    14. Ozkan Haykir & Ibrahim Yagli, 2022. "Speculative bubbles and herding in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-33, December.
    15. Aloosh, Arash & Ouzan, Samuel & Shahzad, Syed Jawad Hussain, 2022. "Bubbles across Meme Stocks and Cryptocurrencies," Finance Research Letters, Elsevier, vol. 49(C).
    16. Lui, Yiu Lim & Phillips, Peter C.B. & Yu, Jun, 2024. "Robust testing for explosive behavior with strongly dependent errors," Journal of Econometrics, Elsevier, vol. 238(2).
    17. Yu, Lu & Li, Yanglin, 2023. "Testing factor models when asset bubbles occur: A time-varying perspective," Economic Modelling, Elsevier, vol. 124(C).
    18. Esteve, Vicente & Prats, María A., 2023. "Testing explosive bubbles with time-varying volatility: The case of Spanish public debt," Finance Research Letters, Elsevier, vol. 51(C).
    19. Andrada-Félix, Julián & Fernandez-Perez, Adrian & Sosvilla-Rivero, Simón, 2020. "Distant or close cousins: Connectedness between cryptocurrencies and traditional currencies volatilities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
    20. Feng, Hao, 2023. "Testing for explosive bubbles in the presence of non-Gaussian conditions," Economics Letters, Elsevier, vol. 233(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:61:y:2024:i:c:s1544612323013272. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.