{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:6QCFJNPVFGJYBH5E5J4L76CBWS","short_pith_number":"pith:6QCFJNPV","schema_version":"1.0","canonical_sha256":"f40454b5f52993809fa4ea78bff841b4ab4d2f61c99dfabec2f9666756c3d341","source":{"kind":"arxiv","id":"2401.00001","version":1},"attestation_state":"computed","paper":{"title":"Sector Rotation by Factor Model and Fundamental Analysis","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"q-fin.PM","authors_text":"Beining Shi, Runjia Yang","submitted_at":"2023-11-18T05:01:37Z","abstract_excerpt":"This study presents an analytical approach to sector rotation, leveraging both factor models and fundamental metrics. We initiate with a systematic classification of sectors, followed by an empirical investigation into their returns. Through factor analysis, the paper underscores the significance of momentum and short-term reversion in dictating sectoral shifts. A subsequent in-depth fundamental analysis evaluates metrics such as PE, PB, EV-to-EBITDA, Dividend Yield, among others. Our primary contribution lies in developing a predictive framework based on these fundamental indicators. The cons"},"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":"2401.00001","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"q-fin.PM","submitted_at":"2023-11-18T05:01:37Z","cross_cats_sorted":[],"title_canon_sha256":"3493e7cf985b9babfe5b7e1f5df267426b9e2689a89401262e6f0ca77995e401","abstract_canon_sha256":"833679367ad42bbe581740bedc06c05fd66a80fe06ab9a396502bed2cf5759c9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:28:59.466939Z","signature_b64":"54yKCgaTkZkeaw643AdMsdUdyoTsIBlJxUkdKVVhIKAPVYjaEf7BlG4FtmcadkRJVOCMKosrV1nKc1R+Z4MfDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f40454b5f52993809fa4ea78bff841b4ab4d2f61c99dfabec2f9666756c3d341","last_reissued_at":"2026-07-05T07:28:59.466393Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:28:59.466393Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Sector Rotation by Factor Model and Fundamental Analysis","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"q-fin.PM","authors_text":"Beining Shi, Runjia Yang","submitted_at":"2023-11-18T05:01:37Z","abstract_excerpt":"This study presents an analytical approach to sector rotation, leveraging both factor models and fundamental metrics. We initiate with a systematic classification of sectors, followed by an empirical investigation into their returns. Through factor analysis, the paper underscores the significance of momentum and short-term reversion in dictating sectoral shifts. A subsequent in-depth fundamental analysis evaluates metrics such as PE, PB, EV-to-EBITDA, Dividend Yield, among others. Our primary contribution lies in developing a predictive framework based on these fundamental indicators. The cons"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00001","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2401.00001/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2401.00001","created_at":"2026-07-05T07:28:59.466454+00:00"},{"alias_kind":"arxiv_version","alias_value":"2401.00001v1","created_at":"2026-07-05T07:28:59.466454+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00001","created_at":"2026-07-05T07:28:59.466454+00:00"},{"alias_kind":"pith_short_12","alias_value":"6QCFJNPVFGJY","created_at":"2026-07-05T07:28:59.466454+00:00"},{"alias_kind":"pith_short_16","alias_value":"6QCFJNPVFGJYBH5E","created_at":"2026-07-05T07:28:59.466454+00:00"},{"alias_kind":"pith_short_8","alias_value":"6QCFJNPV","created_at":"2026-07-05T07:28:59.466454+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.27287","citing_title":"Prompt Injection in Automated R\\'esum\\'e Screening with Large Language Models: Single and Multi-Injection Settings","ref_index":9,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6QCFJNPVFGJYBH5E5J4L76CBWS","json":"https://pith.science/pith/6QCFJNPVFGJYBH5E5J4L76CBWS.json","graph_json":"https://pith.science/api/pith-number/6QCFJNPVFGJYBH5E5J4L76CBWS/graph.json","events_json":"https://pith.science/api/pith-number/6QCFJNPVFGJYBH5E5J4L76CBWS/events.json","paper":"https://pith.science/paper/6QCFJNPV"},"agent_actions":{"view_html":"https://pith.science/pith/6QCFJNPVFGJYBH5E5J4L76CBWS","download_json":"https://pith.science/pith/6QCFJNPVFGJYBH5E5J4L76CBWS.json","view_paper":"https://pith.science/paper/6QCFJNPV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2401.00001&json=true","fetch_graph":"https://pith.science/api/pith-number/6QCFJNPVFGJYBH5E5J4L76CBWS/graph.json","fetch_events":"https://pith.science/api/pith-number/6QCFJNPVFGJYBH5E5J4L76CBWS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6QCFJNPVFGJYBH5E5J4L76CBWS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6QCFJNPVFGJYBH5E5J4L76CBWS/action/storage_attestation","attest_author":"https://pith.science/pith/6QCFJNPVFGJYBH5E5J4L76CBWS/action/author_attestation","sign_citation":"https://pith.science/pith/6QCFJNPVFGJYBH5E5J4L76CBWS/action/citation_signature","submit_replication":"https://pith.science/pith/6QCFJNPVFGJYBH5E5J4L76CBWS/action/replication_record"}},"created_at":"2026-07-05T07:28:59.466454+00:00","updated_at":"2026-07-05T07:28:59.466454+00:00"}