{"title":"公共信息搜索的突然中断是否会损害分析师预测的准确性?来自中国的证据","authors":"Zihui Li , Lijun Ma , Min Zhang","doi":"10.1016/j.jempfin.2025.101643","DOIUrl":null,"url":null,"abstract":"<div><div>We examine the effect of the sudden breakdown of public information search capability caused by Google’s withdrawal from mainland China on Chinese analysts’ earnings forecasts. We observe a decrease in analysts’ forecast accuracy regarding firms with foreign trade relative to those without foreign trade post-withdrawal. This decrease suggests that Google’s withdrawal has hindered analysts’ acquisition of information about firms with foreign trade, thus decreasing the quality of their earnings forecasts. We also find that the effect of this withdrawal on forecast accuracy is stronger for firms with higher business complexity and more opaque financial reporting and for analysts with weaker information processing capacity and more attention constraints. Additionally, we identify corporate site visits as an alternative information source that can compensate for the information loss caused by Google’s withdrawal and find that decreasing forecast accuracy has partially contributed to the deterioration of capital market conditions in the post-withdrawal era.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"83 ","pages":"Article 101643"},"PeriodicalIF":2.4000,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Does a sudden breakdown in public information search impair analyst forecast accuracy? Evidence from China\",\"authors\":\"Zihui Li , Lijun Ma , Min Zhang\",\"doi\":\"10.1016/j.jempfin.2025.101643\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We examine the effect of the sudden breakdown of public information search capability caused by Google’s withdrawal from mainland China on Chinese analysts’ earnings forecasts. We observe a decrease in analysts’ forecast accuracy regarding firms with foreign trade relative to those without foreign trade post-withdrawal. This decrease suggests that Google’s withdrawal has hindered analysts’ acquisition of information about firms with foreign trade, thus decreasing the quality of their earnings forecasts. We also find that the effect of this withdrawal on forecast accuracy is stronger for firms with higher business complexity and more opaque financial reporting and for analysts with weaker information processing capacity and more attention constraints. Additionally, we identify corporate site visits as an alternative information source that can compensate for the information loss caused by Google’s withdrawal and find that decreasing forecast accuracy has partially contributed to the deterioration of capital market conditions in the post-withdrawal era.</div></div>\",\"PeriodicalId\":15704,\"journal\":{\"name\":\"Journal of Empirical Finance\",\"volume\":\"83 \",\"pages\":\"Article 101643\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Empirical Finance\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0927539825000659\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Empirical Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0927539825000659","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Does a sudden breakdown in public information search impair analyst forecast accuracy? Evidence from China
We examine the effect of the sudden breakdown of public information search capability caused by Google’s withdrawal from mainland China on Chinese analysts’ earnings forecasts. We observe a decrease in analysts’ forecast accuracy regarding firms with foreign trade relative to those without foreign trade post-withdrawal. This decrease suggests that Google’s withdrawal has hindered analysts’ acquisition of information about firms with foreign trade, thus decreasing the quality of their earnings forecasts. We also find that the effect of this withdrawal on forecast accuracy is stronger for firms with higher business complexity and more opaque financial reporting and for analysts with weaker information processing capacity and more attention constraints. Additionally, we identify corporate site visits as an alternative information source that can compensate for the information loss caused by Google’s withdrawal and find that decreasing forecast accuracy has partially contributed to the deterioration of capital market conditions in the post-withdrawal era.
期刊介绍:
The Journal of Empirical Finance is a financial economics journal whose aim is to publish high quality articles in empirical finance. Empirical finance is interpreted broadly to include any type of empirical work in financial economics, financial econometrics, and also theoretical work with clear empirical implications, even when there is no empirical analysis. The Journal welcomes articles in all fields of finance, such as asset pricing, corporate finance, financial econometrics, banking, international finance, microstructure, behavioural finance, etc. The Editorial Team is willing to take risks on innovative research, controversial papers, and unusual approaches. We are also particularly interested in work produced by young scholars. The composition of the editorial board reflects such goals.