We study the price-volume cross-correlation in the Bitcoin market from July 17, 2010, to May 2, 2018, via the multifractal detrended cross-correlations analysis (MF-DCCA). Results show that Bitcoin prices changes and changes in trading volume mutually interact in a nonlinear way. Furthermore, multifractality is present and significant. By bringing fractal market and nonlinear theories into the analysis of Bitcoin price-volume behavior, we characterize the underlying mechanisms (i.e., nonlinear dependency and multifractality) that govern Bitcoin market dynamics. This deepens our insights into the effectiveness of technical trading strategies in the complex market of Bitcoin that seems to lack efficiency.
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Zhongnan Univ Econ & Law, Sch Stat & Math, Wuhan 430073, Peoples R ChinaZhongnan Univ Econ & Law, Sch Stat & Math, Wuhan 430073, Peoples R China
Wu, Bo
Jiang, Feng
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Zhongnan Univ Econ & Law, Sch Stat & Math, Wuhan 430073, Peoples R ChinaZhongnan Univ Econ & Law, Sch Stat & Math, Wuhan 430073, Peoples R China
Jiang, Feng
Zhang, Jiao
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Jishou Univ, Coll Math & Stat, Jishou 416000, Peoples R ChinaZhongnan Univ Econ & Law, Sch Stat & Math, Wuhan 430073, Peoples R China
Zhang, Jiao
Liu, Chunqiong
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China West Normal Univ, Coll Environm Sci & Engn, Nanchong 637002, Peoples R ChinaZhongnan Univ Econ & Law, Sch Stat & Math, Wuhan 430073, Peoples R China
Liu, Chunqiong
Shi, Kai
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China West Normal Univ, Coll Environm Sci & Engn, Nanchong 637002, Peoples R ChinaZhongnan Univ Econ & Law, Sch Stat & Math, Wuhan 430073, Peoples R China