【Author】 Yang, Yang; Zhao, Zhao
【Source】APPLIED ECONOMICS
【影响因子】1.916
【Abstract】Using daily data of the 100 largest cryptocurrencies, we construct the efficient sorting portfolios and the quantile-based sorting portfolios based on ten factors. We find two price factors that can well predict cryptocurrency returns. The efficient sorting portfolios outperform the traditional quantile-based portfolios and the naive 1/N portfolios. The outperformance is largely due to the use of DCC-NL estimator, which captures the dynamic of covariance matrix and meanwhile addresses the curse of dimensionality. In addition, leverage constraints are important for cryptocurrency portfolios to control their risks.
【Keywords】Large portfolios; cryptocurrencies; efficient sorting; leverage constraints; DCC-NL
【发表时间】2020 2022-05-03
【收录时间】2022-01-02
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