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Physical Momentum in the Indian Stock Market

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  • Naresh Kumar Devulapally
  • Tulasi Narendra Das Tripurana

Abstract

Our study focuses on determining the presence of abnormal returns for physical momentum portfolios in the context of the Indian market. The physical momentum portfolios, comprising stocks from the NSE 500, are constructed for the daily, weekly, monthly, and yearly timescales. In the aforementioned timescales, we empirically evaluate the historical returns and varied risk profiles of these portfolios for the years 2014-2021. It has been observed that the best-performing physical momentum portfolios from each of the four timescales achieved higher returns and better risk measures when compared to the benchmark NIFTY 50 portfolio. We further find that the high-frequency daily time scale exhibits the strongest reversal in the physical momentum effect, wherein the portfolio yielded a 16-fold profit over the initial investment.

Suggested Citation

  • Naresh Kumar Devulapally & Tulasi Narendra Das Tripurana, 2023. "Physical Momentum in the Indian Stock Market," Papers 2302.13245, arXiv.org.
    • Handle: RePEc:arx:papers:2302.13245
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    References listed on IDEAS

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    1. Schwert, G. William, 2003. "Anomalies and market efficiency," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 15, pages 939-974, Elsevier.
    2. Mr. Tonny Lybek & Mr. Abdourahmane Sarr, 2002. "Measuring Liquidity in Financial Markets," IMF Working Papers 2002/232, International Monetary Fund.
    3. Grundy, Bruce D & Martin, J Spencer, 2001. "Understanding the Nature of the Risks and the," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 29-78.
    4. repec:bla:jfinan:v:59:y:2004:i:5:p:2145-2176 is not listed on IDEAS
    5. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    6. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    7. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    8. Ernest Liu & Aleh Tsyvinski, 2020. "Dynamical Structure and Spectral Properties of Input-Output Networks," NBER Working Papers 28178, National Bureau of Economic Research, Inc.
    9. Jaehyung Choi, 2012. "Physical approach to price momentum and its application to momentum strategy," Papers 1208.2775, arXiv.org, revised Aug 2014.
    10. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
    11. Rachev, Svetlozar & Jasic, Teo & Stoyanov, Stoyan & Fabozzi, Frank J., 2007. "Momentum strategies based on reward-risk stock selection criteria," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2325-2346, August.
    12. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    13. Lukas Menkhoff & Ulrich Schmidt, 2005. "The use of trading strategies by fund managers: some first survey evidence," Applied Economics, Taylor & Francis Journals, vol. 37(15), pages 1719-1730.
    14. Choi, Jaehyung, 2014. "Physical approach to price momentum and its application to momentum strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 61-72.
    15. Rosy Dhall & Bhanwar Singh, 2020. "The COVID-19 Pandemic and Herding Behaviour: Evidence from India’s Stock Market," Millennial Asia, , vol. 11(3), pages 366-390, December.
    16. Datar, Vinay T. & Y. Naik, Narayan & Radcliffe, Robert, 1998. "Liquidity and stock returns: An alternative test," Journal of Financial Markets, Elsevier, vol. 1(2), pages 203-219, August.
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