论文标题
使用协整为印度股市设计有效的配对策略
Designing Efficient Pair-Trading Strategies Using Cointegration for the Indian Stock Market
论文作者
论文摘要
配对策略是一种在短期时间内利用一对股票价格之间的波动,而从长远来看,这对可能会表现出牢固的关联和共同体模式。当股票的价格表现出明显的分歧时,出售了股票的股票(简短的策略),而购买价格下跌的其他股票的股票(长期策略)。本文提出了一种基于协整的方法,该方法确定了印度国家证券交易所(NSE)五个部门中列出的股票,用于设计有效的配对投资组合。根据2018年1月1日至2020年12月31日的股票价格,确定了协调的股票并成对。对成对的投资组合在2021年的年收益中进行了评估。结果表明,汽车和房地产部门的股票对总体而言,在工作中研究的五个部门中产生了最高的回报。但是,发现信息技术(IT)部门的五对中有两对产生了负回报。
A 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 in 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.