交易策略
结对贸易
算法交易
盈利能力指数
动量(技术分析)
高频交易
统计套利
另类交易系统
技术分析
对偶(语法数字)
金融经济学
利用
利润(经济学)
计量经济学
投资策略
业务
计算机科学
经济
资本资产定价模型
微观经济学
财务
计算机安全
艺术
文学类
套利定价理论
风险套利
作者
Japjeet Singh,Ruppa K. Thulasiram,A. Thavaneswaran,Alex Paseka
标识
DOI:10.1109/compsac57700.2023.00207
摘要
There have been several studies in the literature discussing the profitability with various trading strategies. Two common strategies are pairs trading and momentum strategies. The momentum strategy aims to exploit the phenomenon of momentum, where securities that have performed well in the past are likely to continue performing well in the future. The concept behind a pairs trading of stocks is similar to the statistical idea of cointegration. The goal of pairs trading is to profit from the relative price movements of the two assets, rather than from the absolute price movements of either asset. This strategy is generally implemented using algorithmic trading techniques, and it is often used by traders and investors to take advantage of mispricing in the market. In this study we first compare these two strategies and implement them to study for their profitability. We considered two major cryptocurrencies (Bitcoin and Ethereum) for these two trading strategies and show that with daily price data, dual momentum strategy generates significantly better results than the pairs trading strategy.
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