{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T05:22:18Z","timestamp":1775107338348,"version":"3.50.1"},"reference-count":47,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T00:00:00Z","timestamp":1655942400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004030","name":"Jiangsu Normal University Research Start-up Funds","doi-asserted-by":"publisher","award":["20XFRX011"],"award-info":[{"award-number":["20XFRX011"]}],"id":[{"id":"10.13039\/501100004030","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004030","name":"Jiangsu Normal University Research Start-up Funds","doi-asserted-by":"publisher","award":["2020M680435"],"award-info":[{"award-number":["2020M680435"]}],"id":[{"id":"10.13039\/501100004030","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["20XFRX011"],"award-info":[{"award-number":["20XFRX011"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020M680435"],"award-info":[{"award-number":["2020M680435"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>As two main steelmaking materials, iron ore and scrap steel have different price lead-lag relationships (PLRs) on midstream and downstream steel products in China. The relationships also differ as the time scale varies. In this study, we compare the price influences of two important steel materials on midstream and downstream steel products at different time scales. First, we utilize the maximal overlap discrete wavelet transform (MODWT) method to decompose the original steel materials and products price series into short-term, midterm, and long-term time scale series. Then, we introduce the cross-correlation and Podobnik test method to calculate and test the price lead-lag relationships (PLRs) between two steel materials and 16 steel products. Finally, we construct 12 price lead-lag relationship networks and choose network indicators to present the price influence of the two materials at different time scales. We find that first, most scrap steel and steel products prices fluctuate at the same time lag order, while iron ore leads most steel products price for one day. Second, products that exist in the downstream industry chain usually lead to iron ore. Third, as the time scale becomes longer, the lead relationships from steel materials to steel products become closer.<\/jats:p>","DOI":"10.3390\/e24070865","type":"journal-article","created":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T21:25:00Z","timestamp":1656019500000},"page":"865","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Multiscale Price Lead-Lag Relationship between Steel Materials and Industry Chain Products Based on Network Analysis"],"prefix":"10.3390","volume":"24","author":[{"given":"Sui","family":"Guo","sequence":"first","affiliation":[{"name":"School of Business, Jiangsu Normal University, Xuzhou 221116, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2764-5434","authenticated-orcid":false,"given":"Ze","family":"Wang","sequence":"additional","affiliation":[{"name":"International Academic Center of Complex Systems, Beijing Normal University at Zhuhai, Zhuhai 519087, China"},{"name":"School of Systems Science, Beijing Normal University, Beijing 100875, China"}]},{"given":"Xing","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Business, Jiangsu Normal University, Xuzhou 221116, China"}]},{"given":"Yanan","family":"Wang","sequence":"additional","affiliation":[{"name":"Financial Office, Jiangsu Normal University, Xuzhou 221116, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.resourpol.2017.01.002","article-title":"Implications from substance flow analysis, supply chain and supplier\u2019 risk evaluation in iron and steel industry in Mainland China","volume":"51","author":"Liu","year":"2017","journal-title":"Resour. 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