{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:XWHGRJ7LN6QSAQGY74G3WI52WY","short_pith_number":"pith:XWHGRJ7L","schema_version":"1.0","canonical_sha256":"bd8e68a7eb6fa12040d8ff0dbb23bab63d055e04e2b532a4a1427b4bd51b1671","source":{"kind":"arxiv","id":"1806.07604","version":1},"attestation_state":"computed","paper":{"title":"Multifractal characteristics and return predictability in the Chinese stock markets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-fin.ST","authors_text":"Wei-Xing Zhou (ECUST), Xing-Lu Gao, Xin-Lan Fu, Zheng Shan, Zhi-Qiang Jiang","submitted_at":"2018-06-20T08:25:16Z","abstract_excerpt":"By adopting Multifractal detrended fluctuation (MF-DFA) analysis methods, the multifractal nature is revealed in the high-frequency data of two typical indexes, the Shanghai Stock Exchange Composite 180 Index (SH180) and the Shenzhen Stock Exchange Composite Index (SZCI). The characteristics of the corresponding multifractal spectra are defined as a measurement of market volatility. It is found that there is a statistically significant relationship between the stock index returns and the spectral characteristics, which can be applied to forecast the future market return. The in-sample and out-"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1806.07604","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.ST","submitted_at":"2018-06-20T08:25:16Z","cross_cats_sorted":[],"title_canon_sha256":"d6f71775cac4f70bc9e996f3a30f1335169bc257e637743ebe4039de75e11a42","abstract_canon_sha256":"fc40d13f5220a9dc562e0300656025a0b3789f20e2f42bba8de985e3d5ecefb8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:12:47.216114Z","signature_b64":"7y9ZtC07m9xK5X2p766IblsGwWft/z6fwMl+f1ZjoJX9Xpds5RfYFjA/VsB0NusWDFn/4agqUfbu5S+HhCSqBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd8e68a7eb6fa12040d8ff0dbb23bab63d055e04e2b532a4a1427b4bd51b1671","last_reissued_at":"2026-05-18T00:12:47.215483Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:12:47.215483Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multifractal characteristics and return predictability in the Chinese stock markets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-fin.ST","authors_text":"Wei-Xing Zhou (ECUST), Xing-Lu Gao, Xin-Lan Fu, Zheng Shan, Zhi-Qiang Jiang","submitted_at":"2018-06-20T08:25:16Z","abstract_excerpt":"By adopting Multifractal detrended fluctuation (MF-DFA) analysis methods, the multifractal nature is revealed in the high-frequency data of two typical indexes, the Shanghai Stock Exchange Composite 180 Index (SH180) and the Shenzhen Stock Exchange Composite Index (SZCI). The characteristics of the corresponding multifractal spectra are defined as a measurement of market volatility. It is found that there is a statistically significant relationship between the stock index returns and the spectral characteristics, which can be applied to forecast the future market return. The in-sample and out-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.07604","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1806.07604","created_at":"2026-05-18T00:12:47.215573+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.07604v1","created_at":"2026-05-18T00:12:47.215573+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.07604","created_at":"2026-05-18T00:12:47.215573+00:00"},{"alias_kind":"pith_short_12","alias_value":"XWHGRJ7LN6QS","created_at":"2026-05-18T12:33:01.666342+00:00"},{"alias_kind":"pith_short_16","alias_value":"XWHGRJ7LN6QSAQGY","created_at":"2026-05-18T12:33:01.666342+00:00"},{"alias_kind":"pith_short_8","alias_value":"XWHGRJ7L","created_at":"2026-05-18T12:33:01.666342+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XWHGRJ7LN6QSAQGY74G3WI52WY","json":"https://pith.science/pith/XWHGRJ7LN6QSAQGY74G3WI52WY.json","graph_json":"https://pith.science/api/pith-number/XWHGRJ7LN6QSAQGY74G3WI52WY/graph.json","events_json":"https://pith.science/api/pith-number/XWHGRJ7LN6QSAQGY74G3WI52WY/events.json","paper":"https://pith.science/paper/XWHGRJ7L"},"agent_actions":{"view_html":"https://pith.science/pith/XWHGRJ7LN6QSAQGY74G3WI52WY","download_json":"https://pith.science/pith/XWHGRJ7LN6QSAQGY74G3WI52WY.json","view_paper":"https://pith.science/paper/XWHGRJ7L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.07604&json=true","fetch_graph":"https://pith.science/api/pith-number/XWHGRJ7LN6QSAQGY74G3WI52WY/graph.json","fetch_events":"https://pith.science/api/pith-number/XWHGRJ7LN6QSAQGY74G3WI52WY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XWHGRJ7LN6QSAQGY74G3WI52WY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XWHGRJ7LN6QSAQGY74G3WI52WY/action/storage_attestation","attest_author":"https://pith.science/pith/XWHGRJ7LN6QSAQGY74G3WI52WY/action/author_attestation","sign_citation":"https://pith.science/pith/XWHGRJ7LN6QSAQGY74G3WI52WY/action/citation_signature","submit_replication":"https://pith.science/pith/XWHGRJ7LN6QSAQGY74G3WI52WY/action/replication_record"}},"created_at":"2026-05-18T00:12:47.215573+00:00","updated_at":"2026-05-18T00:12:47.215573+00:00"}