{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:39:22Z","timestamp":1787027962135,"version":"build-2736575974"},"reference-count":57,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2022,8,12]],"date-time":"2022-08-12T00:00:00Z","timestamp":1660262400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42101176"],"award-info":[{"award-number":["42101176"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Financial stocks in the industry chain interact notably because of close economic and technical relationships. Some participants pay particular attention to one industry chain and are concerned with different investment horizons. The motivation for this study is to offer more targeted information to various market participants who focus on different time scales in one industry chain from a systematic perspective by combining the GARCH-BEKK, heterogeneous network, and wavelet analysis methods. The findings are as follows: (1) For parties who prefer to take more risks to gain higher returns, scale 2 (4\u20138 days) is a good option, while long-term investment (32\u2013128 days) is suitable for conservative investors. (2) In most cases, some links in the industry chain are particularly sensitive to changes in stocks in other links. (3) The influence, sensitivity, and intermediary of stocks in the industry chain on different time scales were explored, and participants could use the resulting information to monitor the market or select stocks. (4) The structures, key players, and industry chain attributes of the main transmission paths differ on multi-time scales. Risk transmission can be controlled by intercepting important spillover relations within the paths.<\/jats:p>","DOI":"10.3390\/e24081108","type":"journal-article","created":{"date-parts":[[2022,8,12]],"date-time":"2022-08-12T01:51:11Z","timestamp":1660269071000},"page":"1108","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Spillover Network Features from the Industry Chain View in Multi-Time Scales"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7323-472X","authenticated-orcid":false,"given":"Sida","family":"Feng","sequence":"first","affiliation":[{"name":"The College of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingru","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Economics, Hebei University, Baoding 071000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xueyong","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianran","family":"Xu","sequence":"additional","affiliation":[{"name":"The College of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Shi, Y., Zheng, Y., Guo, K., Jin, Z., and Huang, Z. 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