{"title":"Influencing Factors of Corporate Risk Disclosure Rate on Banking Industry in Indonesia","authors":"Harri Baskoro Adiyanto","doi":"10.29358/SCECO.V0I27.406","DOIUrl":null,"url":null,"abstract":"This research wants to examine the effects of Bank Size (CSIZE), Profitability (PROFIT), Public Shares Ownership (ISSUE), Total Number of the Board of Commissioner (BSIZE), Total Meeting of the Board of Commissioner (RPTDEKOM), and Member of Commissioner with background from Banking Supervisory Institution (BIDEKOM) to Corporate Risk Disclosure (CRD). This research analysis method using multiple linear regression analysis models. The result of this research shows that the data has fulfilled the classical assumption, such as: there is no multicollinearity and heteroscedasticity also data has distributed normally. From the regression analysis, found that partially Bank Size, Profitability and Member of Commissioner with Background from Banking Supervisory Institution variable, are significant to Corporate Risk Disclosure, while Public Share Ownership, Total Number of the Board of Commissioner and Total Meeting of the Board of Commissioner are not significant to Corporate Risk Disclosure.","PeriodicalId":30520,"journal":{"name":"Studies and Scientific Researches Economics Edition","volume":"75 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies and Scientific Researches Economics Edition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29358/SCECO.V0I27.406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This research wants to examine the effects of Bank Size (CSIZE), Profitability (PROFIT), Public Shares Ownership (ISSUE), Total Number of the Board of Commissioner (BSIZE), Total Meeting of the Board of Commissioner (RPTDEKOM), and Member of Commissioner with background from Banking Supervisory Institution (BIDEKOM) to Corporate Risk Disclosure (CRD). This research analysis method using multiple linear regression analysis models. The result of this research shows that the data has fulfilled the classical assumption, such as: there is no multicollinearity and heteroscedasticity also data has distributed normally. From the regression analysis, found that partially Bank Size, Profitability and Member of Commissioner with Background from Banking Supervisory Institution variable, are significant to Corporate Risk Disclosure, while Public Share Ownership, Total Number of the Board of Commissioner and Total Meeting of the Board of Commissioner are not significant to Corporate Risk Disclosure.