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A complex networks approach to pension funds

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  • D’Arcangelis, Anna Maria
  • Levantesi, Susanna
  • Rotundo, Giulia

Abstract

In this paper, techniques proper to complex networks studies have been applied to analyze features of the investment styles and similarities in the Italian pension funds. The analysis has been developed through interdisciplinary approaches. First, we look at the node degree distributions; next, we consider the centrality measures, like betweenness and closeness. Results indicate that the network of funds is dense and assortative, with short path lengths. Moreover, through community detection algorithms, it is found that many funds show similar features. In particular, the network of benchmarks is far from being dense, is characterized by hubs, and is disassortative. Furthermore, the insertion of weights does not produce dramatic changes in the centrality measures, but it blurs the communities. Still, the k-core and the highest k-shell do properly evidence the most popular benchmarks. In conclusion, the network structure of the Italian pension funds, without taking into account information from weights, seems to contain already sufficient information for detecting similarities in investments styles.

Suggested Citation

  • D’Arcangelis, Anna Maria & Levantesi, Susanna & Rotundo, Giulia, 2021. "A complex networks approach to pension funds," Journal of Business Research, Elsevier, vol. 129(C), pages 687-702.
    • Handle: RePEc:eee:jbrese:v:129:y:2021:i:c:p:687-702
    DOI: 10.1016/j.jbusres.2019.10.071
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    References listed on IDEAS

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    1. Ning Ding & Jerry Parwada & Jianfeng Shen, 2017. "Information Sharing within the Networks of Delegated Portfolio Managers: Evidence from Plan Sponsors and Their Subadvisers," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(1), pages 99-113, January.
    2. Li, Jie & Ren, Da & Feng, Xu & Zhang, Yongjie, 2016. "Network of listed companies based on common shareholders and the prediction of market volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 508-521.
    3. Matthew Elliott & Benjamin Golub & Matthew O. Jackson, 2014. "Financial Networks and Contagion," American Economic Review, American Economic Association, vol. 104(10), pages 3115-3153, October.
    4. Silvio John Camilleri & Ritienne Farrugia, 2018. "The Risk-Adjusted Performance of Alternative Investment Funds and UCITS: A Comparative Analysis," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(7), pages 1-23, July.
    5. Matteo Cinelli & Giovanna Ferraro & Antonio Iovanella, 2017. "Resilience of Core-Periphery Networks in the Case of Rich-Club," Complexity, Hindawi, vol. 2017, pages 1-12, December.
    6. Anna Maria D’Arcangelis & Giulia Rotundo, 2016. "Complex Networks in Finance," Lecture Notes in Economics and Mathematical Systems, in: Pasquale Commendatore & Mariano Matilla-García & Luis M. Varela & Jose S. Cánovas (ed.), Complex Networks and Dynamics, pages 209-235, Springer.
    7. Anna D’Arcangelis & Giulia Rotundo, 2015. "Mutual funds relationships and performance analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1573-1584, July.
    8. M. Gligor & M. Ausloos, 2008. "Clusters in weighted macroeconomic networks: the EU case. Introducing the overlapping index of GDP/capita fluctuation correlations," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 63(4), pages 533-539, June.
    9. Pasquale Commendatore & Mariano Matilla-García & Luis M. Varela & Jose S. Cánovas (ed.), 2016. "Complex Networks and Dynamics," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-319-40803-3, October.
    10. Rossi, Alberto G. & Blake, David & Timmermann, Allan & Tonks, Ian & Wermers, Russ, 2018. "Network centrality and delegated investment performance," Journal of Financial Economics, Elsevier, vol. 128(1), pages 183-206.
    11. David Blake & Alberto G. Rossi & Allan Timmermann & Ian Tonks & Russ Wermers, 2013. "Decentralized Investment Management: Evidence from the Pension Fund Industry," Journal of Finance, American Finance Association, vol. 68(3), pages 1133-1178, June.
    12. Luis M. Varela & Giulia Rotundo, 2016. "Complex Network Analysis and Nonlinear Dynamics," Lecture Notes in Economics and Mathematical Systems, in: Pasquale Commendatore & Mariano Matilla-García & Luis M. Varela & Jose S. Cánovas (ed.), Complex Networks and Dynamics, pages 3-25, Springer.
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    Cited by:

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    2. Milos Kopa & Kristina Sutiene & Audrius Kabasinskas & Ausrine Lakstutiene & Aidas Malakauskas, 2022. "Dominance Tracking Index for Measuring Pension Fund Performance with Respect to the Benchmark," Sustainability, MDPI, vol. 14(15), pages 1-28, August.

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