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Hasil Pencarian

Ditemukan 2 dokumen yang sesuai dengan query
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Riky Candra
"[ABSTRAK
Tingginya porsi kepemilikan asing pada Obligasi Negara (ON) domestik
dapat meningkatkan likuiditas dan mengurangi biaya pinjaman pemerintah.
Namun demikian, hal ini juga menyimpan risiko dalam hal sudden reversal.
Penelitian ini mengamati perilaku investor asing di pasar ON domestik dengan
mempergunakan model vektor auto regresi (VAR). Dua faktor yang
mempengaruhi perilaku asing di pasar ON domestik yaitu pull factor atau faktor
internal dan push factor atau faktor eksternal. Hasil temuan dari estimasi VAR
menunjukkan bahwa harga minyak, sebagai faktor eksternal, secara positif
menggerakkan arus dana asing.
Analisa dari hasil estimasi Impulse Response Function (IRF) menunjukkan
bahwa gejolak dari arus dana asing secara negatif saling mempengaruhi yield ON,
leading indicator, dan volatilitas nilai tukar, tetapi berpengaruh positif terhadap
tingkat suku bunga. Berdasarkan analisa diatas, penelitian ini memiliki implikasi
kebijakan antara lain perlunya intervensi pemerintah di pasar sekunder melalui
buyback dan debt switch, pemberlakuan minimum holding period, memperkuat
fungsi pengawasan dan supervisi, menembangkan kerangka Bond Stabilization
Fund (BSF), dan mempromosikan obligasi pembiayaan proyek.

ABSTRACT
High foreign ownership of domestic government bonds (GB) could generate
liquidity and reduce governments? cost of borrowing. However, they also contain
risk in the case of sudden reversal. This study investigates the behavior of the
foreign investors in the domestic Indonesian GB market by applying the vector
auto regression (VAR) model. There are two factors that could determine foreign
behavior in the domestic GB market, namely pull (or internal) factors and push (or
external) factors. The finding from the VAR estimation provides evidence that oil
price, as a push factor, positively drives foreign capital flows.
Dynamic analysis from the Impulse Response Function (IRF) shows that the
shock of foreign capital flows negatively respond to GB yield, leading indicator,
and exchange rate volatility, and vice versa. However, it has a positive impact on
interest rates and vice versa. Based on its results, this study has important policy
implications, such as government intervention in the secondary market through
buyback and debt switch, application of a minimum holding period, strengthening
the control and supervision body, construction of a Bond Stabilization Fund
framework, and promotion of project-financing bonds.;High foreign ownership of domestic government bonds (GB) could generate
liquidity and reduce governments? cost of borrowing. However, they also contain
risk in the case of sudden reversal. This study investigates the behavior of the
foreign investors in the domestic Indonesian GB market by applying the vector
auto regression (VAR) model. There are two factors that could determine foreign
behavior in the domestic GB market, namely pull (or internal) factors and push (or
external) factors. The finding from the VAR estimation provides evidence that oil
price, as a push factor, positively drives foreign capital flows.
Dynamic analysis from the Impulse Response Function (IRF) shows that the
shock of foreign capital flows negatively respond to GB yield, leading indicator,
and exchange rate volatility, and vice versa. However, it has a positive impact on
interest rates and vice versa. Based on its results, this study has important policy
implications, such as government intervention in the secondary market through
buyback and debt switch, application of a minimum holding period, strengthening
the control and supervision body, construction of a Bond Stabilization Fund
framework, and promotion of project-financing bonds.;High foreign ownership of domestic government bonds (GB) could generate
liquidity and reduce governments? cost of borrowing. However, they also contain
risk in the case of sudden reversal. This study investigates the behavior of the
foreign investors in the domestic Indonesian GB market by applying the vector
auto regression (VAR) model. There are two factors that could determine foreign
behavior in the domestic GB market, namely pull (or internal) factors and push (or
external) factors. The finding from the VAR estimation provides evidence that oil
price, as a push factor, positively drives foreign capital flows.
Dynamic analysis from the Impulse Response Function (IRF) shows that the
shock of foreign capital flows negatively respond to GB yield, leading indicator,
and exchange rate volatility, and vice versa. However, it has a positive impact on
interest rates and vice versa. Based on its results, this study has important policy
implications, such as government intervention in the secondary market through
buyback and debt switch, application of a minimum holding period, strengthening
the control and supervision body, construction of a Bond Stabilization Fund
framework, and promotion of project-financing bonds.;High foreign ownership of domestic government bonds (GB) could generate
liquidity and reduce governments? cost of borrowing. However, they also contain
risk in the case of sudden reversal. This study investigates the behavior of the
foreign investors in the domestic Indonesian GB market by applying the vector
auto regression (VAR) model. There are two factors that could determine foreign
behavior in the domestic GB market, namely pull (or internal) factors and push (or
external) factors. The finding from the VAR estimation provides evidence that oil
price, as a push factor, positively drives foreign capital flows.
Dynamic analysis from the Impulse Response Function (IRF) shows that the
shock of foreign capital flows negatively respond to GB yield, leading indicator,
and exchange rate volatility, and vice versa. However, it has a positive impact on
interest rates and vice versa. Based on its results, this study has important policy
implications, such as government intervention in the secondary market through
buyback and debt switch, application of a minimum holding period, strengthening
the control and supervision body, construction of a Bond Stabilization Fund
framework, and promotion of project-financing bonds.;High foreign ownership of domestic government bonds (GB) could generate
liquidity and reduce governments? cost of borrowing. However, they also contain
risk in the case of sudden reversal. This study investigates the behavior of the
foreign investors in the domestic Indonesian GB market by applying the vector
auto regression (VAR) model. There are two factors that could determine foreign
behavior in the domestic GB market, namely pull (or internal) factors and push (or
external) factors. The finding from the VAR estimation provides evidence that oil
price, as a push factor, positively drives foreign capital flows.
Dynamic analysis from the Impulse Response Function (IRF) shows that the
shock of foreign capital flows negatively respond to GB yield, leading indicator,
and exchange rate volatility, and vice versa. However, it has a positive impact on
interest rates and vice versa. Based on its results, this study has important policy
implications, such as government intervention in the secondary market through
buyback and debt switch, application of a minimum holding period, strengthening
the control and supervision body, construction of a Bond Stabilization Fund
framework, and promotion of project-financing bonds.;High foreign ownership of domestic government bonds (GB) could generate
liquidity and reduce governments? cost of borrowing. However, they also contain
risk in the case of sudden reversal. This study investigates the behavior of the
foreign investors in the domestic Indonesian GB market by applying the vector
auto regression (VAR) model. There are two factors that could determine foreign
behavior in the domestic GB market, namely pull (or internal) factors and push (or
external) factors. The finding from the VAR estimation provides evidence that oil
price, as a push factor, positively drives foreign capital flows.
Dynamic analysis from the Impulse Response Function (IRF) shows that the
shock of foreign capital flows negatively respond to GB yield, leading indicator,
and exchange rate volatility, and vice versa. However, it has a positive impact on
interest rates and vice versa. Based on its results, this study has important policy
implications, such as government intervention in the secondary market through
buyback and debt switch, application of a minimum holding period, strengthening
the control and supervision body, construction of a Bond Stabilization Fund
framework, and promotion of project-financing bonds.;High foreign ownership of domestic government bonds (GB) could generate
liquidity and reduce governments? cost of borrowing. However, they also contain
risk in the case of sudden reversal. This study investigates the behavior of the
foreign investors in the domestic Indonesian GB market by applying the vector
auto regression (VAR) model. There are two factors that could determine foreign
behavior in the domestic GB market, namely pull (or internal) factors and push (or
external) factors. The finding from the VAR estimation provides evidence that oil
price, as a push factor, positively drives foreign capital flows.
Dynamic analysis from the Impulse Response Function (IRF) shows that the
shock of foreign capital flows negatively respond to GB yield, leading indicator,
and exchange rate volatility, and vice versa. However, it has a positive impact on
interest rates and vice versa. Based on its results, this study has important policy
implications, such as government intervention in the secondary market through
buyback and debt switch, application of a minimum holding period, strengthening
the control and supervision body, construction of a Bond Stabilization Fund
framework, and promotion of project-financing bonds., High foreign ownership of domestic government bonds (GB) could generate
liquidity and reduce governments’ cost of borrowing. However, they also contain
risk in the case of sudden reversal. This study investigates the behavior of the
foreign investors in the domestic Indonesian GB market by applying the vector
auto regression (VAR) model. There are two factors that could determine foreign
behavior in the domestic GB market, namely pull (or internal) factors and push (or
external) factors. The finding from the VAR estimation provides evidence that oil
price, as a push factor, positively drives foreign capital flows.
Dynamic analysis from the Impulse Response Function (IRF) shows that the
shock of foreign capital flows negatively respond to GB yield, leading indicator,
and exchange rate volatility, and vice versa. However, it has a positive impact on
interest rates and vice versa. Based on its results, this study has important policy
implications, such as government intervention in the secondary market through
buyback and debt switch, application of a minimum holding period, strengthening
the control and supervision body, construction of a Bond Stabilization Fund
framework, and promotion of project-financing bonds.]"
2015
T-Pdf
UI - Tesis Membership  Universitas Indonesia Library
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Purba, Irwan Diko
"ABSTRAK
Kelayakan utang sebuah negara (credit worthiness) sebuah negara ditentukan dari kondisi ekonomi makro negara tersebut dan faktor eksternal. Penelitian ini bertujuan untuk menguji pengaruh faktor ekonomi makro serta faktor eksternal terhadap yield spread negara-negara di Asia Timur, Amerika Latin, dan Karibian. Variabel ekonomi makro yang digunakan dalam penelitian ini digolongkan dalam dua kelompok yakni yang memengaruhi likuiditas dab solvensi serta yang memengaruhi fundamental ekonomi makro. Penelitian dilakukan dengan menggunakan yeild spread triwulanan dari 11 negara untuk periode 2000Q1:2015Q4 dan analisis regresi data panel menggunakan Pooled Least Square (PLS), Fixed Effect Model (FEM), dan Random Effect Model (REM). Hasil penelitian menunjukkan bahwa variabel ekonomi makro yang memengaruhi yield spread adalah rasio utang luar negeri terhadap PDB, nilai tukar riil (real effective exchange rate), dan pertumbuhan PDB per kapita. Faktor eksternal yang memengaruhi yield spread adalah yield US Treasury 10 tahun dan Volatility Index (VIX)."
Jakarta: Kementerian Keuangan Republik Indonesia. Direktorat Jenderal Pembendaharaan, 2018
616 UI-JCHEST 3:3 (2016)
Artikel Jurnal  Universitas Indonesia Library