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香农熵:一种针对加密货币投资组合的经济物理学方法。

Shannon Entropy: An Econophysical Approach to Cryptocurrency Portfolios.

作者信息

Rodriguez-Rodriguez Noé, Miramontes Octavio

机构信息

Departamento de Sistemas Complejos, Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de México C.P. 04510, Mexico.

出版信息

Entropy (Basel). 2022 Nov 1;24(11):1583. doi: 10.3390/e24111583.

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.

摘要

加密货币市场因其新颖性、广泛的在线可获取性、不断增加的市值和潜在利润,吸引了全球投资者的诸多关注。在经济物理学传统中,我们表明许多最常见的加密货币的回报统计数据并不遵循高斯分布,而是遵循重尾分布。应用熵测度表明,投资组合多元化是降低回报不确定性的合理做法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/9689520/8735fc8c82ab/entropy-24-01583-g001.jpg

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