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The Impact of Rebalancing Strategies on ETF Portfolio Performance

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  • Attila Bányai

    (Doctoral School of Economic and Regional Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly Str. 1, H-2100 Gödöllő, Hungary)

  • Tibor Tatay

    (Department of Statistics, Finances and Controlling, Széchenyi István University, Egyetem Square 1, H-9026 Győr, Hungary)

  • Gergő Thalmeiner

    (Department of Investment, Finance and Accounting, Hungarian University of Agriculture and Life Sciences, Páter Károly Str. 1, H-2100 Gödöllő, Hungary)

  • László Pataki

    (Doctoral School of Management and Business Administration, John von Neumann University, Infopark sétány 1, HU-1117 Budapest, Hungary
    Faculty of Social Sciences, Eötvös Lóránd University, Pázmány Péter sétány 1/A, HU-1117 Budapest, Hungary)

Abstract

This research explores the efficacy of rebalancing strategies in a diversified portfolio constructed exclusively with exchange-traded funds (ETFs). We selected five ETF types: short-term U.S. Treasury bonds, U.S. equities, global commodities, U.S. real estate investment trusts (REITs), and a multi-strategy hedge fund. Using a 10-year historical period, we applied a unique simulation model to generate random portfolios with varying asset weights and rebalancing tolerance bands, assessing the impact of rebalancing premiums on portfolio performance. Our study reveals a significant positive correlation (r = 0.6492, p < 0.001) between rebalancing-weighted returns and the Sharpe ratio, indicating that effective rebalancing enhances risk-adjusted returns. Support vector regression (SVR) analysis shows that rebalancing premiums have diverse effects. Specifically, equities and commodities benefit from rebalancing with improved risk-adjusted returns, while bonds and REITs demonstrate a negative relationship, suggesting that rebalancing might be less effective or even detrimental for these assets. Our findings also indicate that negative portfolio rebalancing returns combined with positive rebalancing-weighted returns yield the highest average Sharpe ratio of 0.4328, highlighting a distinct and reciprocal relationship between rebalancing effects at the asset and portfolio levels. This research highlights that while rebalancing can enhance portfolio performance, its effectiveness varies by asset class and market conditions.

Suggested Citation

  • Attila Bányai & Tibor Tatay & Gergő Thalmeiner & László Pataki, 2024. "The Impact of Rebalancing Strategies on ETF Portfolio Performance," JRFM, MDPI, vol. 17(12), pages 1-16, November.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:12:p:533-:d:1528359
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    References listed on IDEAS

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    1. Bacem Benjlijel & Hatem Mansali & David McMillan, 2021. "The expected sharpe ratio of efficient portfolios under estimation errors," Cogent Economics & Finance, Taylor & Francis Journals, vol. 9(1), pages 1943910-194, January.
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    3. Markowitz, Harry M, 1991. "Foundations of Portfolio Theory," Journal of Finance, American Finance Association, vol. 46(2), pages 469-477, June.
    4. Abramov, Alexander & Radygin, Alexander & Chernova, Maria, 2015. "Long-term portfolio investments: New insight into return and risk," Russian Journal of Economics, Elsevier, vol. 1(3), pages 273-293.
    5. Hatem Mansali & Bacem Benjlijel, 2021. "The expected sharpe ratio of efficient portfolios under estimation errors," Post-Print hal-03390568, HAL.
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