Optimization of special cryptocurrency portfolios

IF 5.7 Q1 BUSINESS, FINANCE
Benjamin Schellinger
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引用次数: 9

Abstract

This paper aims to elaborate on the optimization of two particular cryptocurrency portfolios in a mean-variance framework. In general, cryptocurrencies can be classified to as coins and tokens where the first can be thought of as a medium of exchange and the latter accounts for security or utility tokens depending upon its design.,Against this backdrop, this empirical study distinguishes, in particular, between pure coin and token portfolios. Both portfolios are optimized by maximizing the Sharpe ratio and, subsequently, compared with alternative portfolio strategies.,The empirical findings demonstrate that the maximum utility portfolio of coins, with a risk aversion of λ = 10, outweighs alternative frameworks. The portfolios optimized by maximizing the Sharpe ratio for both coins and tokens indicate a rather poor performance. Testing the maximized utility for different levels of risk aversion confirms the findings of this empirical study and confers them more robustness.,Further investigation is strongly recommended as tokens represent a new phenomenon in the cryptocurrency universe, for which only a limited amount of data are available, which restricts the sampling. Furthermore, future study is to include more sophisticated optimization models using different constraints in portfolio creation.,In light of the persistently substantial volatility in cryptocurrency markets, the empirical findings assert that portfolio managers are advised to construct a global minimum variance portfolio. In the absence of sophisticated optimization models, private investors can invest according to the market values of cryptocurrencies. Despite minor differences in the risk and reward ratios of the portfolios tested, tokens tend to be more speculative, especially, if the Tether token is excluded, which may require enhanced supervision and investor protection by regulating authorities.,As the current literature investigates on diversification effects of blended cryptocurrency portfolios rather than making an explicit distinction, this paper reflects one of the first to explore the investability and role of diversifying coins and tokens using a classic Markowitz approach.
特殊加密货币投资组合优化
本文旨在阐述在均值-方差框架中对两种特定加密货币投资组合的优化。一般来说,加密货币可以分为硬币和代币,其中前者可以被认为是交换媒介,后者可以根据其设计用于安全或实用代币。在此背景下,本实证研究特别区分了纯硬币和代币投资组合。两种投资组合都通过最大化夏普比率来优化,然后与其他投资组合策略进行比较。实证结果表明,风险厌恶λ = 10的硬币的最大效用组合优于替代框架。通过最大化硬币和代币的夏普比率来优化的投资组合显示出相当差的表现。对不同风险厌恶水平的效用最大化进行检验,证实了本实证研究的结果,并赋予其更强的稳健性。强烈建议进一步调查,因为代币代表了加密货币领域的一种新现象,只有有限数量的数据可用,这限制了采样。此外,未来的研究将包括在投资组合创建中使用不同约束的更复杂的优化模型。鉴于加密货币市场持续大幅波动,实证研究结果表明,建议投资组合经理构建全球最小方差投资组合。在没有复杂的优化模型的情况下,私人投资者可以根据加密货币的市场价值进行投资。尽管测试的投资组合的风险和回报比率存在微小差异,但代币往往更具投机性,特别是如果将Tether代币排除在外,这可能需要监管机构加强监管和投资者保护。由于目前的文献研究的是混合加密货币投资组合的多样化效果,而不是做出明确的区分,本文反映了使用经典的马科维茨方法探索硬币和代币多样化的可投资性和作用的首批文献之一。
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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来源期刊
Journal of Risk Finance
Journal of Risk Finance BUSINESS, FINANCE-
CiteScore
6.20
自引率
6.70%
发文量
37
期刊介绍: The Journal of Risk Finance provides a rigorous forum for the publication of high quality peer-reviewed theoretical and empirical research articles, by both academic and industry experts, related to financial risks and risk management. Articles, including review articles, empirical and conceptual, which display thoughtful, accurate research and be rigorous in all regards, are most welcome on the following topics: -Securitization; derivatives and structured financial products -Financial risk management -Regulation of risk management -Risk and corporate governance -Liability management -Systemic risk -Cryptocurrency and risk management -Credit arbitrage methods -Corporate social responsibility and risk management -Enterprise risk management -FinTech and risk -Insurtech -Regtech -Blockchain and risk -Climate change and risk
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