THE INFLUENCE OF MONETARY POLICY (BI RATE) ON PROFITABILITY OF COMMERCIAL BANKS IN INDONESIA

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dc.contributor.authorAmaliawiati, Lia
dc.contributor.authorWinarso, Eddy
dc.date.accessioned2013-08-15T05:44:01Z
dc.date.accessioned2019-10-21T11:52:09Z
dc.date.available2013-08-15T05:44:01Z
dc.date.available2019-10-21T11:52:09Z
dc.date.issued2013-03-13
dc.description.abstractABSTRACT One of the monetary policy of the Central Bank Indonesia interest rate is called BI rate (Bank Indonesia Rate), changes in the BI rate will affect the money market interest rates, deposit rates and lending rates although the mechanism of monetary policy is in the process requires time (time lag). BI rate effectively influence the performance of the bank. Determination of interest rates either by bank management is one of the keys to success in obtaining bank profits (profitability by using ROA and NIM). This study aims to: (1) analyze how the effects of changes in the BI rate to the level of bank profitability (ROA and NIM), (2) How long does it take (time lag) changes effective BI rate will significantly influence the level of profitability, and (3) what variables affect the profitability of the conventional banks. Analytical techniques that will be used in this study is multiple regression is to obtain an overall picture of the relationship and influence between the dependent and independent variables. The object of research is the profitability of conventional commercial banks listed on the Indonesia Stock Exchange since November 2005 (the year from the enactment of the BI rate) through October 2012 using data times series monthly. Determination of the sample is using simple random sampling. Methods of analysis using multiple regression analysis based on secondary data, and to determine the accuracy of the model tested on some classical assumptions underlying the regression models include the test for normality, multicolinearity, and autocorrelation heteroscedasticity. BIRate has negative effect on ROA and showed a statistically significant number, but BI Rate did not show a statistically significant rate by setting the standard error of 5% on NIM and has negative direction. Influential BI Rate to ROA is happened with 1 month time lag, meanwhile BI Rate was not having an effect on the NIM with 1 month time lag. Based on the semiā€partial correlation coefficients, BIRate very great influence in determining of ROA ranks, meanwhile Operational Cost to Operational Income (OCTOI) is great influence to determine of NIM, while BI Rate ranks last of the NIM Keywords: BI Rate, Loan Rate, LDR, CAR, OCTOI, NPL, ROA and NIMen_US
dc.identifier.issn987-979-99365-7-8
dc.identifier.urihttp://repository.widyatama.ac.id/handle/123456789/2174
dc.language.isoenen_US
dc.publisherUniversitas Surabayaen_US
dc.relation.ispartofseriesKII.CD.0110;
dc.subjectBI Rateen_US
dc.subjectLoan Rateen_US
dc.subjectLDRen_US
dc.subjectCARen_US
dc.subjectNPLen_US
dc.subjectNIMen_US
dc.subjectOCTOIen_US
dc.subjectROAen_US
dc.titleTHE INFLUENCE OF MONETARY POLICY (BI RATE) ON PROFITABILITY OF COMMERCIAL BANKS IN INDONESIAen_US
dc.title.alternativeChallenges and opportunities of the Leading Edge in World Class Supply Chain Managementen_US
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