Simple and Effective Portfolio Construction with Crypto Assets
We consider the problem of constructing a portfolio that combines traditional financial assets with crypto assets. We show that despite the documented attributes of crypto assets, such as high volatility, heavy tails, excess kurtosis, and skewness, a simple extension of traditional risk allocation provides robust solutions for integrating these emerging assets into broader investment strategies. Examination of the risk allocation holdings suggests an even simpler method, analogous to the traditional 60/40 stocks/bonds allocation, involving a fixed allocation to crypto and traditional assets, dynamically diluted with cash to achieve a target risk level.
Code (1)
Similar Papers 제목 키워드 기반
Clustering Digital Assets Using Path Signatures: Application to Portfolio Construction
We propose a new way of building portfolios of cryptocurrencies that provide good diversification properties to investors. First, we seek to filter these digital assets by creating some clusters based on their path signa…
ClusteringCryptocurrency Trading: A Comprehensive Survey
In recent years, the tendency of the number of financial institutions including cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital assets to be included by asset managers. A…
ManagementSurveyInvesting with Cryptocurrencies -- evaluating their potential for portfolio allocation strategies
Cryptocurrencies (CCs) have risen rapidly in market capitalization over the last years. Despite striking price volatility, their high average returns have drawn attention to CCs as alternative investment assets for portf…
ManagementOptimization of portfolios with cryptocurrencies: Markowitz and GARCH-Copula model approach
The growing interest in cryptocurrencies has drawn the attention of the financial world to this innovative medium of exchange. This study aims to explore the impact of cryptocurrencies on portfolio performance. We conduc…
Portfolio OptimizationCorrelation without Factors in Retail Cryptocurrency Markets
A simple model-free and distribution-free statistic, the functional relationship between the number of "effective" degrees of freedom and portfolio size, or N*(N), is used to discriminate between two alternative models f…