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The Determinants of the Convexity in the Flow-Performance Relationship

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There is substantial evidence that the flow-performance relationship of mutual funds is convex. The authors empirically investigate the determinants of such convexity. In particular, they study how fund fees (for example, marketing and nonmarketing fees) and the uncertainty related to the replacement option of fund production factors (investment strategies and managerial ability) impact the convexity of the flow-performance relationship. The evidence suggests that marketing fees are positively related to the convexity of the flow-performance relationship. Nonmarketing fees appear to have a negative impact on this convexity. Consistent with investment restrictions being relevant in explaining investors’ allocation decisions, sector and index funds exhibit lower convexity in their flow-performance relationship than respectively diversified and non-index funds. Finally, the dispersion of managerial abilities within a mutual fund segment is associated with higher convexity in the flow-performance relationship.

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  • Richard Fu & Marco Navone & Marco Pagani & Themis D. Pantos, 2012. "The Determinants of the Convexity in the Flow-Performance Relationship," Published Paper Series 2012-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    • Handle: RePEc:uts:ppaper:2012-1
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    Cited by:

    1. Raphaëlle Bellando & Linh Tran-Dieu, 2011. "La relation entre flux d'entrées nets et performance des fonds. Une étude appliquée au cas des opcvm actions français," Revue économique, Presses de Sciences-Po, vol. 62(2), pages 255-275.
    2. Nicolescu Luminiţa & Tudorache Florentin Gabriel, 2018. "Romania, Slovakia and Hungary: evolution of mutual funds in recent years," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 695-710, May.
    3. Tudorache Florentin Gabriel & Luminiţa Nicolescu & Radu Lupu, 2015. "Evolution of Mutual Funds in Romania: Performance and Risks," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 180-197, December.
    4. Raphaëlle Bellando, 2008. "Le conflit d'agence dans la gestion déléguée de portefeuille : une revue de littérature," Revue d'économie politique, Dalloz, vol. 118(3), pages 317-339.
    5. Rakowski, David & Yamani, Ehab, 2021. "Endogeneity in the mutual fund flow–performance relationship: An instrumental variables solution," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 247-271.
    6. Saleh Nawaz Khan & Amna Noor, 2023. "Fund governance and flow performance relationship," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 16(1), pages 1-16, January.
    7. Tudorache F. & Nicolescu L. & Belascu L., 2016. "The performance of mutual funds in Slovakia," Bulletin of Taras Shevchenko National University of Kyiv. Economics. Вісник Киiвського нацiонального унiверситету iм. Тараса Шевченка. Серiя: Економiка, CyberLeninka;Издательско-полиграфический центр «Киевский университет», issue 11 (188), pages 26-33.
    8. Nicolescu Luminiţa & Tudorache Florentin Gabriel, 2017. "Capital markets in Central and Eastern Europe: two selected cases," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 11(1), pages 597-606, July.
    9. Luminiţa NICOLESCU & Florentin Gabriel TUDORACHE, 2016. "The Evolution of Non-Banking Financial Markets in Hungary: The Case of Mutual Funds," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 4(4), pages 591-621, December.

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