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Good diversification is never wasted: How to tilt factor portfolios with sectors

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  • Brière, Marie
  • Szafarz, Ariane

Abstract

Using large-cap exchange-traded funds (ETFs), this paper provides guidance on enhancing the performance of long-only factor portfolios through sector-based blending. The blending method builds ETF portfolios that optimize the factor exposure of sectors. We use the original factors of Fama and French (F&F) as benchmarks. The results show that blended portfolios combine the diversification benefits of sector investing with the risk premia of factor investing, and so constitute a promising extension of pure factor ETFs.

Suggested Citation

  • Brière, Marie & Szafarz, Ariane, 2020. "Good diversification is never wasted: How to tilt factor portfolios with sectors," Finance Research Letters, Elsevier, vol. 33(C).
    • Handle: RePEc:eee:finlet:v:33:y:2020:i:c:s154461231930491x
    DOI: 10.1016/j.frl.2019.05.015
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    References listed on IDEAS

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    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Esther Ruiz & Lorenzo Pascual, 2002. "Bootstrapping Financial Time Series," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 271-300, July.
    3. Marie Briere & Ariane Szafarz, 2018. "Factors and Sectors in Asset Allocation: Stronger Together?," Working Papers CEB 18-016, ULB -- Universite Libre de Bruxelles.
    4. Sayili, Koray & Yilmaz, Gokhan & Dyer, Douglas & Küllü, A. Melih, 2017. "Style investing and firm innovation," Journal of Financial Stability, Elsevier, vol. 32(C), pages 17-29.
    5. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    6. De Moor, Lieven & Sercu, Piet, 2011. "Country versus sector factors in equity returns: The roles of non-unit exposures," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 64-77, January.
    7. Clifford S. Asness & Tobias J. Moskowitz & Lasse Heje Pedersen, 2013. "Value and Momentum Everywhere," Journal of Finance, American Finance Association, vol. 68(3), pages 929-985, June.
    8. Ang, Andrew, 2014. "Asset Management: A Systematic Approach to Factor Investing," OUP Catalogue, Oxford University Press, number 9780199959327.
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    Cited by:

    1. Bessler, Wolfgang & Taushanov, Georgi & Wolff, Dominik, 2024. "Factor investing and asset allocation strategies: a comparison of factor versus sector optimization," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 149873, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Fernandes, Leonardo H.S. & de Araujo, Fernando H.A. & Tabak, Benjamin M., 2021. "Insights from the (in)efficiency of Chinese sectoral indices during COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    3. Rehman, Mobeen Ur & Vo, Xuan Vinh & McIver, Ron & Kang, Sang Hoon, 2022. "Sensitivity of US sectoral returns to energy commodities under different investment horizons and market conditions," Energy Economics, Elsevier, vol. 108(C).
    4. Matteo Foglia & Maria Cristina Recchioni & Gloria Polinesi, 2021. "Smart Beta Allocation and Macroeconomic Variables: The Impact of COVID-19," Risks, MDPI, vol. 9(2), pages 1-25, February.
    5. Wolfgang Bessler & Georgi Taushanov & Dominik Wolff, 2021. "Factor investing and asset allocation strategies: a comparison of factor versus sector optimization," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 488-506, October.

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    More about this item

    Keywords

    Portfolio management; Diversification; Exchange-traded fund (ETF); Factor; Sector; Blending;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises

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