A Statistical Risk Assessment of Bitcoin and Its Extreme Tail Behaviour

delete Pub Date : 2016-09-10 DOI:10.1142/S2010495217500038
Joerg Osterrieder, Julian Lorenz
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引用次数: 115

Abstract

We provide an extreme value analysis of the returns of Bitcoin. A particular focus is on the tail risk characteristics and we will provide an in-depth univariate extreme value analysis. Those properties will be compared to the traditional exchange rates of the G10 currencies versus the US dollar. For investors, especially institutional ones, an understanding of the risk characteristics is of utmost importance. So for Bitcoin to become a mainstream investable asset class, studying these properties is necessary. Our findings show that the bitcoin return distribution not only exhibits higher volatility than traditional G10 currencies, but also stronger non-normal characteristics and heavier tails. This has implications for risk management, financial engineering (such as bitcoin derivatives) — both from an investor's as well as from a regulator's point of view. To our knowledge, this is the first detailed study looking at the extreme value behavior of the cryptocurrency Bitcoin.
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比特币及其极端尾部行为的统计风险评估
我们对比特币的回报进行了极值分析。特别关注尾部风险特征,我们将提供深入的单变量极值分析。这些资产将与十国集团(G10)货币对美元的传统汇率进行比较。对于投资者,特别是机构投资者来说,了解风险特征是至关重要的。因此,为了使比特币成为主流的可投资资产类别,研究这些属性是必要的。我们的研究结果表明,比特币收益分布不仅表现出比传统G10货币更高的波动性,而且具有更强的非正态特征和更重的尾部。这对风险管理、金融工程(如比特币衍生品)都有影响——无论是从投资者的角度还是从监管机构的角度。据我们所知,这是第一次详细研究加密货币比特币的极端价值行为。
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