PENGARUH INFLASI, NILAI TUKAR, PERTUMBUHAN EKONOMI DAN SUKU BUNGA THE FED TERHADAP PENETAPAN BI RATE DI INDONESIA
| Main Author: | Khairun Nisya, Maretina |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | ind |
| Terbitan: |
, 2015
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| Subjects: | |
| Online Access: |
https://eprints.untirta.ac.id/13701/1/PENGARUH%20INFLASI%2C%20NILAI%20TUKAR%2C%20PERTUMBUHAN%20EKONOMI%20DAN%20SUKU%20BUNGA%20THE%20FED%20TERHADAP.pdf https://eprints.untirta.ac.id/13701/ https://feb.untirta.ac.id |
Daftar Isi:
- BI Rate is the interset rate policies that reflect the stance of monetary policy set by Bank of Indonesia and announced to the public each meeting of the Board of Governors (RDG) monthly and implemented in yhe money market reflects the development of the money market rate Interbank Overnight (Interbak O/N). Folowed by the development of deposito rates and lending rates banking. By using VAR (Vector Autoregression), this study tried to see interest rate (BI Rate) shock to Composite interest rate (The Fed) in Indonesia. In research methods VAR (Vector Autoregression), added exogenous variabels of which the Inflation, Exchange Rate and Economic Growth. Observation using in this study are data from 2006-2013 (quartely). The data is downloaded from Bank Of Indonesia Stock Exchange’s website. The formation of the VAR model through several steps, namely stasonarity test, determination of the optimal lag length, the formation of theVAR model. Stasionarity test in VAR using unit root test with the Augmented Dickey Fuller Test method (ADF Test). Determination of the optumal lag length views of the value of the the minimum Akaike Information Criteria (AIC). As for the simultaneous and parsial test performed usig the amount of lag in accordance with the amount of the lag that is obtained from the value by the minimum of Akaike Information Criteria (AIC). By using the VAR model are show by the Impluse Response Function and Variance Decomposition. The results showed empirically that unit root test with Augmented Dickey Fuller (ADF) method shows that three variabels hae a unit root or not stasionary at the data leve and first difference but stationary in second difference is the level of these variabels have same degree of integration in the (1). Determination of the optimal lag lenght views of Akaike Information Criteria minimum value (AIC) obtained 2. Based on the analysis of the Impluse Response Function and Variance Decomposition, in general it can be concluded that each variable can expalin to of each variable is still dominated by itself.