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Trading Volume Concentration across S&P 500 Index Constituents—A Gini-Based Analysis and Concentration-Driven (Daily Rebalanced) Portfolio Performance Evaluation: Is Chasing Concentration Profitable?

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  • Dominik Metelski

    (SEJ-609 AMIKO Research Group, Faculty of Economics and Management Sciences, University of Granada, 18071 Granada, Spain)

  • Janusz Sobieraj

    (Department of Building Engineering, Warsaw University of Technology, 00-637 Warsaw, Poland)

Abstract

The period from January 2020 to December 2022 was marked by a confluence of major events, including the COVID-19 pandemic, the Russia–Ukraine war, the energy crisis, surging inflation, Federal Reserve policy shifts, and banking turmoil, which collectively fueled heightened market volatility, risk management needs, and speculative trading opportunities, leading to volatile swings in trading volume concentration across financial markets, with periods of significant increases followed by rapid declines. This paper examines the variation in the concentration of trading volume across the full spectrum of S&P 500 companies, with a focus on explaining the reasons behind the stochastic changes in trading volume concentration. We analyze different concentration measurement methods, including the power law exponent, the Herfindahl–Hirschman Index, and the Gini-based Trading Concentration Index (TCI). The research employs a novel experimental design, comparing a concentration-driven portfolio, rebalanced daily based on the top 30 stocks by trading volume, against the S&P 500 benchmark. Our findings reveal that the Gini-based TCI fluctuated between 55.98% and 77.35% during the study period, with significant variations coinciding with major market events. The concentration-driven portfolio outperformed the S&P 500, achieving an annualized return of 10.66% compared to 5.89% for the index, with a superior Sharpe ratio of 0.325 versus 0.19. This performance suggests that following trading volume concentration can yield above-average results. However, this study also highlights the importance of understanding and managing the risks associated with concentrated portfolios. This study contributes to the literature on market dynamics and offers practical insights for investors and fund managers on optimizing portfolio strategies in response to evolving concentration patterns in financial markets.

Suggested Citation

  • Dominik Metelski & Janusz Sobieraj, 2024. "Trading Volume Concentration across S&P 500 Index Constituents—A Gini-Based Analysis and Concentration-Driven (Daily Rebalanced) Portfolio Performance Evaluation: Is Chasing Concentration Profitable?," JRFM, MDPI, vol. 17(8), pages 1-25, July.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:8:p:325-:d:1443830
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    References listed on IDEAS

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    1. Bogdan Batrinca & Christian W. Hesse & Philip C. Treleaven, 2018. "Examining drivers of trading volume in European markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 23(2), pages 134-154, April.
    2. Ülkü, Numan & Ali, Fahad & Saydumarov, Saidgozi & İkizlerli, Deniz, 2023. "COVID caused a negative bubble. Who profited? Who lost? How stock markets changed?," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    3. Mr. Taehoon Kim, 2021. "Safe Asset Demand, Global Capital Flows and Wealth Concentration," IMF Working Papers 2021/254, International Monetary Fund.
    4. P. V. (Sundar) Balakrishnan & A. Steven Holland & James M. Miller & S. Gowri Shankar, 2013. "Market closings and concentration of stock trading: an empirical analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 23(17), pages 1393-1398, September.
    5. John Duffy & Jean Paul Rabanal & Olga A. Rud, 2019. "The Impact of ETFs on Asset Markets: Experimental Evidence," Working Papers 154, Peruvian Economic Association.
    6. Dominik Metelski & Janusz Sobieraj, 2022. "Decentralized Finance (DeFi) Projects: A Study of Key Performance Indicators in Terms of DeFi Protocols’ Valuations," IJFS, MDPI, vol. 10(4), pages 1-23, November.
    7. Tao Shu, 2013. "Institutional Investor Participation and Stock Market Anomalies," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 40(5-6), pages 695-718, June.
    8. David Mayer-Foulkes & Kurt A. Hafner, 2023. "The Economy Is Not Flat: The Technology Gradient In The Mass Market Economy," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 23(01n04), pages 1-44, December.
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