Evidence map›Paper›PMID 41125640›Full record

ArticleScientific reports2025

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

Imran Ansari, Charu Sharma, Akshay Agrawal, Niteesh Sahni

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Imran AnsariDepartment of Mathematics, Shiv Nadar Institution of Eminence Deemed to be University, Delhi-NCR, India. ia717@snu.edu.in.
Charu SharmaDepartment of Mathematics, Shiv Nadar Institution of Eminence Deemed to be University, Delhi-NCR, India.
Akshay AgrawalJindal Centre for Digital Sciences, O. P. Jindal Global University, Sonipat, India.
Niteesh SahniDepartment of Mathematics, Shiv Nadar Institution of Eminence Deemed to be University, Delhi-NCR, India. niteesh.sahni@snu.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 Minimum Spanning Trees and 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, Sortino ratio, information ration and average return. 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.

Identifiers

PMID41125640
PMCPMC12546599

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.