Followness of Altcoins in the Dominance of Bitcoin: A Phase Analysis

Abhinandan Kulal (Department of Commerce, Mangalore University, India)

Abstract


Due to the transparency, simplicity, and blockchain system, cryptocurrencies gained popularity in the modern world. This led to more use of cryptocurrencies for speculation and investment rather than a medium of exchange. It is crucial to analyse the nature of the crypto market before investing in such currencies. With this intention, the paper tried to know the extent of following (Followness) of altcoins to the bitcoin in the different dominance phases like High Dominance, Low Dominance, and Moderate Dominance. For this purpose, daily closing prices of the Bitcoin and five major altcoins (Ethereum, Litecoin, Namecoin, Doge, and Ripple) are collected for the last five years and analyse the relationship between bitcoin and altcoins. Pearson's correlation coefficient test is used to know the direction of the relationship, and Vector Error Correction Model is used to see the extent of the relation. In general, the empirical result of the study showed cointegration between bitcoin and Altcoin. It also depicted that Altcoin showed a high level of followness in the moderate dominance phase and low followness in the low dominance phase. The study developed a price estimation equation to predict the price of altcoins depending upon the price of bitcoin and its dominance in the crypto market. This paper concludes that the dominance of Bitcoin also has a significant role in the price movement of altcoins.


Keywords


Cryptocurrencies;Bitcoin;Altcoin;Blockchain system;Dependency;Dominance

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References


[1] A. F. Aysan, A. U. I. Khan, and H. Topuz, “Bitcoin and altcoins price dependency: Resilience and portfolio allocation in covid-19 outbreak,” Risks, vol. 9, no. 4, pp. 1–13, 2021, doi: 10.3390/risks9040074.

[2] A. Adedokun, “Bitcoin-Altcoin Price Synchronization Hypothesis : Evidence from Recent Data,” J. Financ. Econ., vol. 7, no. 4, pp. 137–147, 2019, doi: 10.12691/ jfe-7-4-4.

[3] S. Yi, Z. Xu, and G. J. Wang, “Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency?,” Int. Rev. Financ. Anal., vol. 60, pp. 98–114, 2018, doi: 10.1016/j.irfa.2018.08.012.

[4] D. G. Baur, K. Hong, and A. D. Lee, “Bitcoin : Medium of Exchange or Speculative Assets ?,” J. Int. Financ. Mark. Institutions Money, 2017, doi: 10.1016/ j.intfin.2017.12.004.

[5] Z. Tu and C. Xue, “Effect of bifurcation on the interaction between Bitcoin and,” Financ. Res. Lett., vol. 31, no. September 2018, p. 101062, 2019, doi: 10.1016/ j.frl.2018.12.010.

[6] E. Bouri, D. Roubaud, and S. J. H. Shahzad, “Do Bitcoin and other cryptocurrencies jump together?,” Q. Rev. Econ. Financ., vol. 76, pp. 396–409, 2020, doi: 10.1016/j.qref.2019.09.003.

[7] A. Spurr and M. Ausloos, “Challenging practical features of Bitcoin by the main altcoins,” Qual. Quant.,no. October, 2020, doi: 10.1007/s11135-020-01062-x.

[8] M. A. Naeem, E. Bouri, Z. Peng, S. J. H. Shahzad, and X. V. Vo, “Asymmetric efficiency of cryptocurrencies during COVID19,” Phys. A Stat. Mech. its Appl., vol. 565, p. 125562, 2021, doi: 10.1016/j.physa.2020.125562.

[9] Q. Diaz, “Seasonality and Interconnectivity Within Cryptocurrencies - An Analysis on the Basis of Bitcoin , Litecoin and Namecoin,” pp. 106–120, 2015, doi: 10.1007/978-3-319-28151-3.

[10] O. Gonz and F. Jareño, “Nonlinear Autoregressive Distributed Lag Approach : An Application on the Connectedness between Bitcoin Returns and the Other Ten Most Relevant Cryptocurrency Returns,” 2020.

[11] L. Crypto and B. Market, “Bitcoin Dominance Dives To Lowest In Years , Altcoin Season Is Finally Here BTC Dominance Returns To Levels Not Seen Since Last Crypto Bull Market What Altcoin Season Means For Bitcoin , Ethereum , Litecoin , And Other Top Coins,” pp. 1–4, 2021.

[12] A. Urquhart, “The inefficiency of Bitcoin,” Econ. Lett., 2016, doi: 10.1016/j.econlet.2016.09.019.

[13] S. Corbet, P. Katsiampa, and C. K. M. Lau, “Measuring quantile dependence and testing directional predictability between Bitcoin, altcoins and traditional financial assets,” Int. Rev. Financ. Anal., vol. 71, no. July, p. 101571, 2020, doi: 10.1016/j.irfa.2020.101571.

[14] M. Szpringer, “Imported from https://www.researchgate.net/publication/342931454_Students’_perception_of_online_learning_during_the_COVID-19_ pandemic_a_survey_study_of_Polish_medical_ students,” pp. 1–14, doi: 10.21203/RS.3.RS-41178.

[15] Z. Tan, Y. Huang, and B. Xiao, “Value at risk and returns of cryptocurrencies before and after the crash: long-run relations and fractional cointegration,” Res. Int. Bus. Financ., vol. 56, no. August, p. 101347, 2021, doi: 10.1016/j.ribaf.2020.101347.

[16] T. V. H. Nguyen, B. T. Nguyen, T. C. Nguyen, and Q. Q. Nguyen, “Bitcoin return: Impacts from the introduction of new altcoins,” Res. Int. Bus. Financ., vol. 48, no. October 2018, pp. 420–425, 2019, doi: 10.1016/j.ribaf.2019.02.001.

[17] P. Ciaian, M. Rajcaniova, and A. Kancs, “The economics of BitCoin price formation,” Appl. Econ., vol. 48, no. 19, pp. 1799–1815, 2016, doi: 10.1080/00036846.2015.1109038.

[18] G. A. Lowies, J. H. Hall, and C. E. Cloete, “Heuristic-driven bias in property investment decision-making in South Africa,” J. Prop. Invest. Financ., vol. 34, no. 1, 2016, doi: 10.1108/JPIF-08-2014-0055.

[19] M. Sreeram and M. A. Mundada, “Survey to Assess Perceived Causes of Stress, Its Manifestations and Coping Strategies Among Dental College Students in Maharashtra During COVID-19 Lockdown,” Biomed. Pharmacol. J., vol. 14, no. 1, 2021, doi: 10.13005/bpj/2098.

[20] J. Wang and G. M. Ngene, “Does Bitcoin still own the dominant power? An intraday analysis,” Int. Rev. Financ. Anal., vol. 71, no. November 2019, p. 101551, 2020, doi: 10.1016/j.irfa.2020.101551.

[21] M. Hanif, “Relationship between oil and stock markets: Evidence from Pakistan stock exchange,” Int. J. Energy Econ. Policy, vol. 10, no. 5, pp. 150–157, 2020, doi: 10.32479/ijeep.9653.

[22] P. Katsiampa, K. Moutsianas, and A. Urquhart, “Information demand and cryptocurrency market activity,” Econ. Lett., vol. 185, p. 108714, 2019, doi: 10.1016/j.econlet.2019.108714.

[23] B. Godfrey and W. Bitcoin, “Coinspeaker Bitcoin Market Dominance Slips to 3-Year Low of 39 . 9 % Coinspeaker,” pp. 1–2, 2021.

[24] E. M. H. Al Rubaie, “Crypto-currency price trend prediction using k-means clustering,” Int. J. Adv. Sci. Technol., vol. 29, no. 7 Special Issue, 2020, doi: 10.36478/jeasci.2019.10594.10599.

[25] O. Angela and Y. Sun, “Factors affecting cryptocurrency prices: Evidence from ethereum,” 2020, doi: 10.1109/ICIMTech50083.2020.9211195.

[26] S. Shanaev, S. Sharma, B. Ghimire, and A. Shuraeva, “Taming the blockchain beast? Regulatory implications for the cryptocurrency Market,” Res. Int. Bus. Financ., vol. 51, 2020, doi: 10.1016/j.ribaf.2019.101080.

[27] J. Bonneau, A. Miller, J. Clark, A. Narayanan, J. A. Kroll, and E. W. Felten, “Research perspectives on Bitcoin and second-generation cryptocurrencies,” IEEE Symp. Secur. Priv., 2015.

[28] M. Asad, M. I. Tabash, U. A. Sheikh, M. M. Al-Muhanadi, and Z. Ahmad, “Gold-oil-exchange rate volatility, Bombay stock exchange and global financial contagion 2008: Application of NARDL model with dynamic multipliers for evidences beyond symmetry,” Cogent Bus. Manag., vol. 7, no. 1, 2020, doi: 10.1080/23311975.2020.1849889.

[29] J. Taskinsoy, “Blockchain: A Misunderstood Digital Revolution. Things You Need to Know about Blockchain,” SSRN Electron. J., 2019, doi: 10.2139/ ssrn.3466480.

[30] N. Kshetri and J. Voas, “Do Crypto-Currencies Fuel Ransomware?,” IT Prof., vol. 19, no. 5, 2017, doi:10.1109/MITP.2017.3680961.

[31] Y. O. Erzurumlu, T. Oygur, and A. Kirik, “One size does not fit all: external driver of the cryptocurrency world,” Stud. Econ. Financ., vol. 37, no. 3, 2020, doi: 10.1108/SEF-01-2020-0018.

[32] L. Hong Hin, “Critical Review: Current Research Issues on Crypto-currency and its Application in Financial Sectors,” Int. J. Bus. Manag., vol. 15, no. 3, 2020, doi: 10.5539/ijbm.v15n3p145.

[33] S. Maharjan and C. Science, “Design and Implementation of Blockchain-based Central Bank Digital Currency,” Dep. Comput. Sci. Eng. Pohang Univ. Sci. Technol., 2020.

[34] T. Leung and H. Nguyen, “Constructing cointegrated cryptocurrency portfolios for statistical arbitrage,” Stud. Econ. Financ., vol. 36, no. 3, 2019, doi: 10.1108/SEF-08-2018-0264.

[35] S. Yi, Z. Xu, and G. J. Wang, “Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency?,” Int. Rev. Financ. Anal., vol. 60, no. January, pp. 98–114, 2018, doi: 10.1016/ j.irfa.2018.08.012.

[36] P. Ciaian, M. Rajcaniova, and d’Artis Kancs, “Virtual relationships: Short- and long-run evidence from BitCoin and altcoin markets,” J. Int. Financ. Mark. Institutions Money, vol. 52, pp. 173–195, 2018, doi: 10.1016/j.intfin.2017.11.001.

[37] https://in.finance.yahoo.com/cryptocurrencies/.

[38] bitcoindominance.com.



DOI: https://doi.org/10.30564/mmpp.v3i3.3589

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