{"title":"Granular information and sectoral movements","authors":"Hao Jiang , Sophia Zhengzi Li , Peixuan Yuan","doi":"10.1016/j.jedc.2024.105018","DOIUrl":null,"url":null,"abstract":"<div><div>This paper shows a strong link between the granular information contained in individual stock prices and sectoral movements. We find that a predictor aggregating the price movements of a broad cross section of individual stocks predicts intraday returns of sector ETF. When we further incorporate the information from structural models, the resulting information signal has even stronger return predictability. These results support theories of granular and network origins of aggregate shocks.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"171 ","pages":"Article 105018"},"PeriodicalIF":1.8000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic Dynamics & Control","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165188924002100","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/29 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper shows a strong link between the granular information contained in individual stock prices and sectoral movements. We find that a predictor aggregating the price movements of a broad cross section of individual stocks predicts intraday returns of sector ETF. When we further incorporate the information from structural models, the resulting information signal has even stronger return predictability. These results support theories of granular and network origins of aggregate shocks.
期刊介绍：
The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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