{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:14:26Z","timestamp":1767183266455,"version":"3.44.0"},"reference-count":40,"publisher":"World Scientific Pub Co Pte Ltd","issue":"06","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advs. Complex Syst."],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p> Financial stock returns correlations have been studied in the prism of random matrix theory to distinguish the signal from the \u201cnoise\u201d. Eigenvalues of the matrix that are above the rescaled Marchenko\u2013Pastur distribution can be interpreted as collective modes behavior while the modes under are usually considered as noise. In this analysis, we use complex network analysis to simulate the \u201cnoise\u201d and the \u201cmarket\u201d component of the return correlations, by introducing some meaningful correlations in simulated geometric Brownian motion for the stocks. We find that the returns correlation matrix is dominated by stocks with high eigenvector centrality and clustering found in the network. We then use simulated \u201cmarket\u201d random walks to build an optimal portfolio and find that the overall return performs better than using the historical mean-variance data, up to [Formula: see text] on short-time scale. <\/jats:p>","DOI":"10.1142\/s0219525925400053","type":"journal-article","created":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T00:24:41Z","timestamp":1749601481000},"source":"Crossref","is-referenced-by-count":1,"title":["INFERRING FINANCIAL STOCK RETURNS CORRELATION FROM COMPLEX NETWORK ANALYSIS"],"prefix":"10.1142","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9731-9381","authenticated-orcid":false,"given":"IXANDRA","family":"ACHITOUV","sequence":"first","affiliation":[{"name":"Institut des Syst\u00e8mes Complexes ISC-PIF, CNRS, 113 rue Nationale, Paris 75013, France"}]}],"member":"219","published-online":{"date-parts":[[2025,7,15]]},"reference":[{"key":"S0219525925400053BIB001","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.83.1467"},{"key":"S0219525925400053BIB002","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.83.1471"},{"key":"S0219525925400053BIB003","doi-asserted-by":"publisher","DOI":"10.1142\/S0219024900000255"},{"key":"S0219525925400053BIB004","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2010.02.026"},{"key":"S0219525925400053BIB005","doi-asserted-by":"publisher","DOI":"10.1088\/0305-4470\/36\/12\/310"},{"journal-title":"Int. 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