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Do liquidity and idiosyncratic risk matter? Evidence from the European mutual fund market

Author

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  • Javier Vidal-García

    (Complutense University of Madrid, Spain)

  • Marta Vidal

    (Complutense University of Madrid, Spain)

  • Duc Khuong Nguyen

    (IPAG Business School)

Abstract

This paper examines the interaction of idiosyncratic risk, liquidity and return across time in determining fund performance, as well as across investment style portfolios of European mutual funds. This study utilizes a unique data set including returns for equity mutual funds registered in six European countries. Overall, using monthly data, we find that both liquidity and idiosyncratic risk are relevant in determining mutual fund returns. Our results are robust across different model specifications. We show that model specifications up to six factors are useful as these risk factors capture different aspects in the cross-section of mutual funds returns. The evidence regarding mutual funds subgroups is strongly in favor of the significance of liquidity, and idiosyncratic risk to a lesser extent, as risk factors. Even if liquidity and idiosyncratic risk are considered at the same time, one factor is not significantly decreasing the importance of the other factor.

Suggested Citation

  • Javier Vidal-García & Marta Vidal & Duc Khuong Nguyen, 2016. "Do liquidity and idiosyncratic risk matter? Evidence from the European mutual fund market," Review of Quantitative Finance and Accounting, Springer, vol. 47(2), pages 213-247, August.
    • Handle: RePEc:kap:rqfnac:v:47:y:2016:i:2:d:10.1007_s11156-014-0488-7
    DOI: 10.1007/s11156-014-0488-7
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    Cited by:

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    2. Nektarios Aslanidis & Charlotte Christiansen & Neophytos Lambertides & Christos S. Savva, 2019. "Idiosyncratic volatility puzzle: influence of macro-finance factors," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 381-401, February.
    3. Vidal-García, Javier & Vidal, Marta & Boubaker, Sabri & Uddin, Gazi Salah, 2016. "The short-term persistence of international mutual fund performance," Economic Modelling, Elsevier, vol. 52(PB), pages 926-938.
    4. Mohammad Alomari & David. M. Power & Nongnuch Tantisantiwong, 2018. "Determinants of equity return correlations: a case study of the Amman Stock Exchange," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 33-66, January.
    5. Marie-Claude Beaulieu & Habiba Mrissa Bouden, 2020. "Does idiosyncratic risk matter in IPO long-run performance?," Review of Quantitative Finance and Accounting, Springer, vol. 55(3), pages 935-981, October.
    6. Jorida Papakroni, 2018. "The dispersion anomaly and analyst recommendations," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 861-896, April.
    7. Kostyantyn MALYSHENKO & Vadim MALYSHENKO & Elena Yu. PONOMAREVA & Marina ANASHKINA, 2019. "Analysis of the stock market anomalies in the context of changing the information paradigm," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 239-270, June.
    8. Harnchai Eng-Uthaiwat, 2018. "Stock market return predictability: Does network topology matter?," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 433-460, August.

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    More about this item

    Keywords

    Mutual fund performance; Idiosyncratic risk; Liquidity; Style analysis;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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