{"paper":{"title":"Correlations in Economic Time Series","license":"","headline":"","cross_cats":["q-fin.ST"],"primary_cat":"cond-mat.stat-mech","authors_text":"Chung-Kang Peng, H. Eugene Stanley, Martin Meyer, Pierre Cizeau, Yanhui Liu","submitted_at":"1997-06-03T13:26:04Z","abstract_excerpt":"The correlation function of a financial index of the New York stock exchange, the S&P 500, is analyzed at 1 min intervals over the 13-year period, Jan 84 -- Dec 96. We quantify the correlations of the absolute values of the index increment. We find that these correlations can be described by two different power laws with a crossover time t_\\times\\approx 600 min. Detrended fluctuation analysis gives exponents $\\alpha_1=0.66$ and $\\alpha_2=0.93$ for $t<t_\\times$ and $t>t_\\times$ respectively. Power spectrum analysis gives corresponding exponents $\\beta_1=0.31$ and $\\beta_2=0.90$ for $f>f_\\times$"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"cond-mat/9706021","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}