比特币价格:高频数据的GARCH证据

IF 0.1 Q4 BUSINESS, FINANCE
P. Ciaian, d'Artis Kancs, M. Rajcaniova
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引用次数: 11

摘要

这是第一篇使用高频数据在广义自回归条件异方差框架中估计比特币价格决定因素的论文。根据理论模型,我们使用2013-2018年期间的每小时数据,在GARCH框架中估计比特币交易需求和投机需求方程。根据理论模型,我们的实证结果证实,比特币交易需求和投机需求对比特币价格形成都有统计上显著的影响。比特币价格对比特币速度的反应是负面的,而比特币股票、利率和比特币经济规模的正面冲击对比特币价格产生了上行压力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The price of Bitcoin: GARCH evidence from high-frequency data
This is the first paper that estimates the price determinants of BitCoin in a Generalised Autoregressive Conditional Heteroscedasticity framework using high frequency data. Derived from a theoretical model, we estimate BitCoin transaction demand and speculative demand equations in a GARCH framework using hourly data for the period 2013-2018. In line with the theoretical model, our empirical results confirm that both the BitCoin transaction demand and speculative demand have a statistically significant impact on the BitCoin price formation. The BitCoin price responds negatively to the BitCoin velocity, whereas positive shocks to the BitCoin stock, interest rate and the size of the BitCoin economy exercise an upward pressure on the BitCoin price.
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来源期刊
CiteScore
0.40
自引率
50.00%
发文量
7
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