利用协整设计印度股票市场有效的配对交易策略

Jaydip Sen
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引用次数: 5

摘要

配对交易策略是一种在短期内利用一对股票价格波动的方法,而在长期内,这对股票可能表现出强烈的关联和共同运动模式。当股票的价格表现出明显的差异时,股票价格上涨的股票被卖出(卖空策略),而另一只股票价格下跌的股票被买入(长期策略)。本文提出了一种基于协整的方法,识别在印度国家证券交易所(NSE)的五个部门上市的股票,以设计有效的配对交易组合。根据2018年1月1日至2020年12月31日的股票价格,识别协整股票并形成对。配对交易组合是根据其2021年的年度回报进行评估的。结果表明,在研究的五个行业中,汽车和房地产行业的股票对总体上产生了最高的回报。然而,来自信息技术(IT)行业的五对投资组合中有两对产生了负回报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing Efficient Pair-Trading Strategies Using Cointegration for the Indian Stock Market
Pair-trading strategy is an approach that utilizes the fluctuations between prices of a pair of stocks in a short-term time frame, while in the long-term the pair may exhibit a strong association and co-movement pattern. When the prices of the stocks exhibit significant divergence, the shares of the stock that gains at price are sold (a short strategy) while the shares of the other stock whose price falls are bought (a long strategy). This paper presents a cointegration-based approach that identifies stocks listed in the five sectors of the National Stock Exchange (NSE) of India for designing efficient pair-trading portfolios. Based on the stock prices from Jan 1, 2018, to Dec 31, 2020, the cointegrated stocks are identified and the pairs are formed. The pair-trading portfolios are evaluated on their annual returns for the year 2021. The results show that the pairs of stocks from the auto and the realty sectors, in general, yielded the highest returns among the five sectors studied in the work. However, two among the five pairs from the information technology (IT) sector are found to have yielded negative returns.
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