{"title":"Risk Profile, Secure Bond, and Bond Rating in Banking Industry","authors":"Eri Wijayanti, I. Yuliana","doi":"10.21512/TW.V21I1.6136","DOIUrl":null,"url":null,"abstract":"The research aimed to assess the impact of the Risk Profile on the banking industry bond ratings in Indonesia Stock Exchange (IDX) and have a rating for bonds at PT PEFINDO. Sampleswere selected by purposive sampling method. The population were banks listed on the Indonesia Stock Exchange in 2015-2018. The population was 44 banks and 16 banks were selected as samples. The analysis a used descriptive statistics and Partial Least Square (PLS) for testing structural and structural models. The results show that Non-Performing Loan (NPL)and Loan to Deposit Ratio (LDR) directly have a significant direct positive effect on bond ratings, and security directly do not have a significant effect on bond ratings, security strengthen risk relationships credit with a bond rating. However, security weakens the relationship between liquidity risk and the bond rating. The variables indicate that these variables can explain the bond rating of 44,4% while the remaining 55,6% is influenced by other variables not contained in the research model.","PeriodicalId":34364,"journal":{"name":"Journal the Winners","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal the Winners","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21512/TW.V21I1.6136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The research aimed to assess the impact of the Risk Profile on the banking industry bond ratings in Indonesia Stock Exchange (IDX) and have a rating for bonds at PT PEFINDO. Sampleswere selected by purposive sampling method. The population were banks listed on the Indonesia Stock Exchange in 2015-2018. The population was 44 banks and 16 banks were selected as samples. The analysis a used descriptive statistics and Partial Least Square (PLS) for testing structural and structural models. The results show that Non-Performing Loan (NPL)and Loan to Deposit Ratio (LDR) directly have a significant direct positive effect on bond ratings, and security directly do not have a significant effect on bond ratings, security strengthen risk relationships credit with a bond rating. However, security weakens the relationship between liquidity risk and the bond rating. The variables indicate that these variables can explain the bond rating of 44,4% while the remaining 55,6% is influenced by other variables not contained in the research model.
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