Copula-based trading of cointegrated cryptocurrency Pairs

被引:0
|
作者
Masood Tadi [1 ]
Jiří Witzany [2 ]
机构
[1] Charles University Prague,Department of Probability and Mathematical Statistics Faculty of Mathematics and Physics
[2] Prague University of Economics and Business Prague,Faculty of Finance and Accounting
关键词
Statistical arbitrage; Pairs trading; Cointegration; Copulas; Cryptocurrency market;
D O I
10.1186/s40854-024-00702-7
中图分类号
学科分类号
摘要
This study introduces a novel pairs trading strategy based on copulas for cointegrated pairs of cryptocurrencies. To identify the most suitable pairs and generate trading signals formulated from a reference asset for analyzing the mispricing index, the study employs linear and nonlinear cointegration tests, a correlation coefficient measure, and fits different copula families, respectively. The strategy’s performance is then evaluated by conducting back-testing for various triggers of opening positions, assessing its returns and risks. The findings indicate that the proposed method outperforms previously examined trading strategies of pairs based on cointegration or copulas in terms of profitability and risk-adjusted returns.
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