比特币价格和能源消耗的动态

Q1 Mathematics
Moinak Maiti
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引用次数: 10

摘要

本研究考察了2010年11月至2021年10月期间比特币价格与比特币总能耗之间的非线性关系。采用离散阈值回归(TR)模型来估计触发比特币价格机制变化的未知阈值。指定的TR模型确定了比特币价格变动的六种变化机制。估计触发比特币价格制度变化的临界阈值规格(比特币总能耗)分别为0.13、2.52、14.06、43.17和146.29。研究发现,比特币总能耗对比特币价格的影响仅在较高(第4位和第6位)的制度中具有统计学意义。这里的信息是,比特币总能耗对比特币价格的影响是不一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamics of bitcoin prices and energy consumption

The present study examines the nonlinear relationship between the bitcoin prices and total bitcoin energy consumption over the period November 2010 and October 2021. A discrete threshold regression (TR) model is deployed to estimate the unknown thresholds that trigger the Bitcoin prices regime change. The designated TR model identifies six regimes of change for Bitcoin price movements. The estimated critical threshold specifications (total bitcoin energy consumption) that trigger the regime change of Bitcoin prices are estimated as 0.13, 2.52, 14.06, 43.17, and 146.29 respectively. The study finds that the impact of total bitcoin energy consumption on bitcoin prices are only statistically significant in the higher (4th and 6th) regimes respectively. The message here is that the impact of total bitcoin energy consumption on bitcoin prices is not uniform.

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来源期刊
Chaos, Solitons and Fractals: X
Chaos, Solitons and Fractals: X Mathematics-Mathematics (all)
CiteScore
5.00
自引率
0.00%
发文量
15
审稿时长
20 weeks
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