PEMODELAN TERBAIK DAN PERAMALAN TINGKAT SUKU BUNGA SPN 3 BULAN
DOI:
https://doi.org/10.31685/kek.v1i3.202Keywords:
APBN, pemulusan exponential, spline, moving average, SPN 3 bulan, Spread dengan SUN 1 tahun.Abstract
Salah satu asumsi dasar ekonomi makro yang masih mengalami kendala dalam pengembangan perangkat analisis model ekonomi yang akurat adalah suku bunga Surat Perbendaharaan Negara (SPN) 3 bulan. Hal ini terutama disebabkan periode data yang tidak teratur karena didasarkan kepada rata-rata yield yang dimenangkan dalam lelang yang dilaksanakan pada periode-periode tertentu. Penelitian ini bertujuan untuk memperoleh model proyeksi tingkat suku bunga SPN 3 bulan dengan memperbandingkan beberapa metode deret waktu yaitu pemulusan spline, pemulusan exponential dan pemulusan moving average, serta pemodelan regresi dengan menggunakan spread dengan yield Surat Utang Negara (SUN) 1 tahun. Hasil dari penelitian ini memperlihatkan bahwa metode yang mendekati kondisi riil adalah metode pemulusan spline dan regresi dengan SUN 1 tahun, dimana pemulusan spline lebih baik untuk proyeksi jangka pendek dan regresi dengan SUN 1 tahun lebih baik untuk proyeksi jangka menengah.
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