{"title":"Does learning by observing matter for M&As? International evidence from the insurance industry","authors":"Q. Liang, Jia Miao, Donghui Li, Zhian Chen","doi":"10.1080/02102412.2020.1768677","DOIUrl":null,"url":null,"abstract":"ABSTRACT This paper examines the role of learning by observing in insurance mergers and acquisitions (M&As) by employing an international sample across 18 countries spanning the years 1990 to 2014. The empirical results support a view of semi-strong market efficiency: the long-run improvements in financial performance and risk profiles are significantly related to past M&As in the insurance industry. Moreover, we find evidence of more accurate stock market predictions of long-run financial performance and risk profiles if there are more recent insurance merger activities. This paper provides a new explanation for the controversy observed in the failure of insurance M&As to create value.","PeriodicalId":244340,"journal":{"name":"Spanish Journal of Finance and Accounting / Revista Española de Financiación y Contabilidad","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spanish Journal of Finance and Accounting / Revista Española de Financiación y Contabilidad","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02102412.2020.1768677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT This paper examines the role of learning by observing in insurance mergers and acquisitions (M&As) by employing an international sample across 18 countries spanning the years 1990 to 2014. The empirical results support a view of semi-strong market efficiency: the long-run improvements in financial performance and risk profiles are significantly related to past M&As in the insurance industry. Moreover, we find evidence of more accurate stock market predictions of long-run financial performance and risk profiles if there are more recent insurance merger activities. This paper provides a new explanation for the controversy observed in the failure of insurance M&As to create value.