Shannon Entropy: An Econophysical Approach to Cryptocurrency Portfolios.

IF 2
Noé Rodriguez-Rodriguez, Octavio Miramontes
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引用次数: 2

Abstract

Cryptocurrency markets have attracted many interest for global investors because of their novelty, wide on-line availability, increasing capitalization, and potential profits. In the econophysics tradition, we show that many of the most available cryptocurrencies have return statistics that do not follow Gaussian distributions, instead following heavy-tailed distributions. Entropy measures are applied, showing that portfolio diversification is a reasonable practice for decreasing return uncertainty.

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香农熵:加密货币投资组合的经济物理学方法。
加密货币市场因其新颖性、广泛的在线可用性、不断增加的资本化和潜在的利润而吸引了许多全球投资者的兴趣。在经济物理学传统中,我们表明,许多最可用的加密货币的返回统计数据不遵循高斯分布,而是遵循重尾分布。结果表明,投资组合多样化是降低收益不确定性的合理做法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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