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A novel portfolio construction strategy based on the core-periphery profile of stocks

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  • Imran Ansari
  • Charu Sharma
  • Akshay Agrawal
  • Niteesh Sahni

Abstract

This paper highlights the significance of mesoscale structures, particularly the core-periphery structure, in financial networks for portfolio optimization. We build portfolios of stocks belonging to the periphery part of the Planar maximally filtered subgraphs of the underlying network of stocks created from Pearson correlations between pairs of stocks and compare its performance with some well-known strategies of Pozzi et. al. hinging around the local indices of centrality in terms of the Sharpe ratio, returns and standard deviation. Our findings reveal that these portfolios consistently outperform traditional strategies and further the core-periphery profile obtained is statistically significant across time periods. These empirical findings substantiate the efficacy of using the core-periphery profile of the stock market network for both inter-day and intraday trading and provide valuable insights for investors seeking better returns.

Suggested Citation

  • Imran Ansari & Charu Sharma & Akshay Agrawal & Niteesh Sahni, 2024. "A novel portfolio construction strategy based on the core-periphery profile of stocks," Papers 2405.12993, arXiv.org.
    • Handle: RePEc:arx:papers:2405.12993
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    References listed on IDEAS

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    1. Tola, Vincenzo & Lillo, Fabrizio & Gallegati, Mauro & Mantegna, Rosario N., 2008. "Cluster analysis for portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 235-258, January.
    2. F. Pozzi & T. Di Matteo & T. Aste, 2008. "Centrality And Peripherality In Filtered Graphs From Dynamical Financial Correlations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 927-950.
    3. Craig, Ben & von Peter, Goetz, 2014. "Interbank tiering and money center banks," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 322-347.
    4. in 't Veld, Daan & van der Leij, Marco & Hommes, Cars, 2020. "The formation of a core-periphery structure in heterogeneous financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    5. Patrick Doreian, 1985. "Structural equivalence in a psychology journal network," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 36(6), pages 411-417, November.
    6. Fei Ren & Ya-Nan Lu & Sai-Ping Li & Xiong-Fei Jiang & Li-Xin Zhong & Tian Qiu, 2017. "Dynamic Portfolio Strategy Using Clustering Approach," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-23, January.
    7. Younes Berouaga & Cherif El Msiyah & Jaouad Madkour, 2023. "Portfolio Optimization Using Minimum Spanning Tree Model in the Moroccan Stock Exchange Market," IJFS, MDPI, vol. 11(2), pages 1-20, March.
    8. Birkan Tunç & Ragini Verma, 2015. "Unifying Inference of Meso-Scale Structures in Networks," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-14, November.
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