ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
ABSTRACT
Utilizing the empirical data of ten major cryptocurrencies, this article examines the investablitiy and role of diversification in cryptocurrency market, and evaluates the out-of-sample performance of commonly used asset allocation models across cryptocurrencies. We show that portfolio diversification across different cryptocurrencies can significantly improve the investment results. We also find robust evidence that the maximum utility model dominates the out-of-sample utility, although none of the models can consistently beat the naïve 1/N portfolio in Sharpe ratio.
4. Conclusion
This article examines the investability and role of diversification in cryptocurrencies as an alternative asset class, and further demonstrates whether the portfolio selection theory can benefit the cryptocurrency market. It is found that diversification among the cryptocurrencies can significantly enhance the Sharpe ratio and utility. By comparing the out-of-sample performance of six classical asset allocation models, we show that the minimum variance model is less risky with the smallest maximum drawdown, the maximum utility model possesses higher return and utility, but most of the models cannot beat the naïve 1/N rule under the Sharpe ratio criterion. These findings can help investors make more informed decisions. On the other hand, the complexities of the cryptocurrency market are far from fully explored. For instance, the results in this article indicate that the estimation error in mean and covariances may offset the gains from optimal diversification, raising a problem about how to improve the estimation with sufficiently considering the stylized facts of cryptocurrencies. We leave a more detailed analysis of estimation risk in future research.