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A Portfolio Rebalancing Approach for the Indian Stock Market

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  • Jaydip Sen
  • Arup Dasgupta
  • Subhasis Dasgupta
  • Sayantani Roychoudhury

Abstract

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.

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  • Jaydip Sen & Arup Dasgupta & Subhasis Dasgupta & Sayantani Roychoudhury, 2023. "A Portfolio Rebalancing Approach for the Indian Stock Market," Papers 2310.09770, arXiv.org.
    • Handle: RePEc:arx:papers:2310.09770
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    References listed on IDEAS

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    1. Zhenlong Jiang & Ran Ji & Kuo-Chu Chang, 2020. "A Machine Learning Integrated Portfolio Rebalance Framework with Risk-Aversion Adjustment," JRFM, MDPI, vol. 13(7), pages 1-20, July.
    2. Harald Hau & Hélène Rey, 2004. "Can Portfolio Rebalancing Explain the Dynamics of Equity Returns, Equity Flows, and Exchange Rates?," American Economic Review, American Economic Association, vol. 94(2), pages 126-133, May.
    3. Fischer, Andreas M. & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," Journal of International Money and Finance, Elsevier, vol. 113(C).
    4. Sidra Mehtab & Jaydip Sen, 2020. "A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models," Papers 2004.11697, arXiv.org, revised May 2021.
    5. Sidra Mehtab & Jaydip Sen & Abhishek Dutta, 2020. "Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models," Papers 2009.10819, arXiv.org.
    6. Albertazzi, Ugo & Becker, Bo & Boucinha, Miguel, 2021. "Portfolio rebalancing and the transmission of large-scale asset purchase programs: Evidence from the Euro area," Journal of Financial Intermediation, Elsevier, vol. 48(C).
    7. Jaydip Sen, 2022. "A forecasting framework for the Indian healthcare sector index," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 7(4), pages 311-350.
    8. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    9. Jaydip Sen & Tamal Datta Chaudhuri, 2018. "Understanding the sectors of Indian economy for portfolio choice," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 4(2), pages 178-222.
    10. Sidra Mehtab & Jaydip Sen, 2020. "Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models," Papers 2010.13891, arXiv.org.
    11. Keith Cuthbertson & Simon Hayley & Nick Motson & Dirk Nitzsche, 2016. "What Does Rebalancing Really Achieve?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(3), pages 224-240, July.
    12. Jaydip Sen, 2018. "Stock composition of mutual funds and fund style: a time series decomposition approach towards testing for consistency," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 4(3), pages 235-292.
    13. Jaydip SEN & Tamal DATTA CHAUDHURI, 2017. "A Predictive Analysis of the Indian FMCG Sector using Time Series Decomposition - Based Approach," Journal of Economics Library, KSP Journals, vol. 4(2), pages 206-226, June.
    14. Kim, Kyungkeun & Lee, Dongwon, 2020. "Equity market integration and portfolio rebalancing," Journal of Banking & Finance, Elsevier, vol. 113(C).
    15. Matthias Horn & Andreas Oehler, 2020. "Automated portfolio rebalancing: Automatic erosion of investment performance?," Journal of Asset Management, Palgrave Macmillan, vol. 21(6), pages 489-505, October.
    16. Jimmy E. Hilliard & Jitka Hilliard, 2018. "Rebalancing versus buy and hold: theory, simulation and empirical analysis," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 1-32, January.
    17. Jaydip Sen & Sidra Mehtab, 2021. "Design and Analysis of Robust Deep Learning Models for Stock Price Prediction," Papers 2106.09664, arXiv.org.
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