Please use this identifier to cite or link to this item: https://repositori.uma.ac.id/handle/123456789/25029
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dc.contributor.advisorAmelia, Wan Rizca-
dc.contributor.advisorSyahriandy-
dc.contributor.authorSitumorang, Gery Pranly-
dc.date.accessioned2024-08-14T03:08:36Z-
dc.date.available2024-08-14T03:08:36Z-
dc.date.issued2024-07-
dc.identifier.urihttps://repositori.uma.ac.id/handle/123456789/25029-
dc.description109 Halamanen_US
dc.description.abstractPenelitian ini dilakukan bertujuan untuk mengetahui hasil Pengaruh Nilai Tukar,Suku Bunga (Bl Rafe) dan Volume Perdagangan Terhadap Indeks Harga Saham Gabungan pada prciode 2019-2022. Metode penelitian yang digunakan merupakan metode kuantitatif dengan menggunakan bantuan pengolahan data E-Views versi 12yang dikumpulkan dengan data dari: Nilai Tukar, Suku Bunga (BI Rate), Volume Perdagangan dan IHSG. Metode analisis yang digunakan dalam penelitian ini adalah uji Vector Autoregresive (VAR) yang meliputi Uji Stasioneritas,Uji Lag Optimal,Uji Stabilitas Vector Autoregression(VAR), Uji Kausalitas Granger, Ují Koíntegrasi,Vector Error Correction Model (VECM), Impulse Response Fuction dan Variance Decomposition. Hasil dari E-Views dalam penelitian ini yaitu variabel Nilai Tukar dan Suku Bunga (Bi Rate) tidak memiliki pengaruh jangka panjang dan jangka pendek terhadap IHSG (Indeks harga Saham Gabungan) dan Berbeda dengan Volume Perdagangan dalam jangka Panjang dan jangka pendek memiliki pengaruh terhadap IHSG(Indeks Harga Saham Gabungan). This research was conducted with the aim of finding out the results of the influence of exchange rates, tribes Interest (Bl Rafe) and Trading Volume Against the Composite Stock Price Index in the 2019-2022 prciode. The research method used is method quantitatively using E-Views version 12 data processing assistance collected with data from: Exchange Rates, Interest Rates (BI Rate), Trading Volume and IHSG. The analytical method used in this research is the Vector test Autoregressive (VAR) which includes Stationarity Test, Optimal Lag Test, Stability Test Vector Autoregression (VAR), Granger Causality Test, Cointegration Test, Vector Error Correction Model (VECM), Impulse Response Function and Variance Decomposition. The results of E-Views in this research are the Exchange Rate and Interest Rate variables (Bi Rate) has no long-term or short-term influence on the IHSG (Composite Stock Price Index) and Different from Trading Volume in Long term and short term have an influence on the IHSG.en_US
dc.language.isoiden_US
dc.publisherUNIVERSITAS MEDAN AREAen_US
dc.relation.ispartofseriesNPM;208320068-
dc.subjectnilai tukaren_US
dc.subjectsuku bunga (bi rate)en_US
dc.subjectvolume perdagangn dan indeks harga saham gabungan (ihsg)en_US
dc.subjectexchange rateen_US
dc.subjectinterest rate (bi rate)en_US
dc.subjecttrading volume dan indonesia composible index (ici)en_US
dc.titlePengaruh Nilai Tukar, Suku Bunga (Bi Rate) dan Volume Perdagangan terhadap Indeks Harga Saham Gabungan Tahun 2019-2022en_US
dc.title.alternativeThe Influence of Exchange Rates, Interest Rates (Bi Rate) and Trading Volume on the Composite Stock Price Index for 2019-2022en_US
dc.typeSkripsi Sarjanaen_US
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