印度股市的投资组合再平衡方法
A Portfolio Rebalancing Approach for the Indian Stock Market
AI总结：
本章提出一种针对印度股市的日历再平衡方法，基于十个行业的前十只股票构建组合，使用历史数据训练并测试，验证了年度再平衡策略的有效性及灵活性。
摘要：
本章提出了一种针对印度股市股票组合的日历再平衡方法。首先，选取了印度经济中的十个重要行业。对于每个行业，根据其自由流通市值确定了前十只股票。利用每个行业的十只股票，设计了特定行业的投资组合。在本研究中，使用了从2021年1月4日至2023年9月20日的历史股价数据（来自NSE网站）。投资组合基于2021年1月4日至2022年6月30日的训练数据进行设计。投资组合的表现则在2022年7月1日至2023年9月20日期间进行了测试。本章提出的日历再平衡方法基于年度再平衡策略。然而，所提出的方法具有高度的灵活性，可以适用于每周或每月的再平衡。对十个行业的再平衡投资组合的表现进行了详细分析。这些表现结果不仅反映了各行业在训练（即样本内）数据和测试（样本外）数据上的相对表现，也体现了所提出的投资组合再平衡方法的整体有效性。
英文摘要：
This chapter presents a calendar rebalancing approach to portfolios of stocks in the Indian stock market. Ten important sectors of the Indian economy are first selected. For each of these sectors, the top ten stocks are identified based on their free-float market capitalization values. Using the ten stocks in each sector, a sector-specific portfolio is designed. In this study, the historical stock prices are used from January 4, 2021, to September 20, 2023 (NSE Website). The portfolios are designed based on the training data from January 4, 2021 to June 30, 2022. The performances of the portfolios are tested over the period from July 1, 2022, to September 20, 2023. The calendar rebalancing approach presented in the chapter is based on a yearly rebalancing method. However, the method presented is perfectly flexible and can be adapted for weekly or monthly rebalancing. The rebalanced portfolios for the ten sectors are analyzed in detail for their performances. The performance results are not only indicative of the relative performances of the sectors over the training (i.e., in-sample) data and test (out-of-sample) data, but they also reflect the overall effectiveness of the proposed portfolio rebalancing approach.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
