Hasil Pencarian  ::  Simpan CSV :: Kembali

"[ABSTRAKPenelitian ini bertujuan untuk menganalisis hubungan jangka panjang daripasar keuangan Indonesia dengan pertumbuhan ekonomi di Indonesia. Variabelpenelitian yang digunakan adalah gross domestic product (GDP) harga konstan,kompetisi perbankan yang diproksi dengan Herfindahl Index (HHI), kapitalisasipasar saham, dan financial development. Untuk menjawab tujuan penelitian makadigunakan metode Autoregressive Distributed Lag (ARDL) dan akanmenggunakan bound testing cointegration untuk melihat hubungan kointegrasidari variabel-variabel yang diteliti. Hasil dari penelitian ini menunjukkan bahwakompetisi perbankan dan kapitalisasi pasar saham berpengaruh positif dansignifikan dalam jangka panjang terhadap pertumbuhan ekonomi di Indonesia.

---

ABSTRACTThe purpose of this study is to analyzes the long run relationship betweenmoney market with economic growth in Indonesia. The research variables aregross domestic product (GDP) by constant price, banking competition that isproxied by Herfindahl Index, stock market capitalization, and financialdevelopment. To answer the research objective, we use AutoregressiveDistributed Lag (ARDL) and using bound testing cointegration for testing thecointegration relationship between the research variables. The results show that inthe long run, the banking competition and stock market capitalization have impactsignificantly positive to the economic growth in Indonesia.;The purpose of this study is to analyzes the long run relationship betweenmoney market with economic growth in Indonesia. The research variables aregross domestic product (GDP) by constant price, banking competition that isproxied by Herfindahl Index, stock market capitalization, and financialdevelopment. To answer the research objective, we use AutoregressiveDistributed Lag (ARDL) and using bound testing cointegration for testing thecointegration relationship between the research variables. The results show that inthe long run, the banking competition and stock market capitalization have impactsignificantly positive to the economic growth in Indonesia., The purpose of this study is to analyzes the long run relationship betweenmoney market with economic growth in Indonesia. The research variables aregross domestic product (GDP) by constant price, banking competition that isproxied by Herfindahl Index, stock market capitalization, and financialdevelopment. To answer the research objective, we use AutoregressiveDistributed Lag (ARDL) and using bound testing cointegration for testing thecointegration relationship between the research variables. The results show that inthe long run, the banking competition and stock market capitalization have impactsignificantly positive to the economic growth in Indonesia.]"

"ABSTRAKPenelitian ini menjelaskan mengenai pengharuh tingkat kompetisi pasar terhadap risiko sistemik pada perusahaan perbankan yang terdaftar di pasar modal di negara Indonesia, Malaysia, Filipina, Singapura, Thailand, dan Vietnam pada tahun 2005-2018. Sampel yang digunakan dalam penelitian ini mencakup 798 observasi yang melibatkan 57 perusahaan dalam waktu 14 tahun. Pengujian hipotesis guna menentukan pengaruh tingkat kompetisi pasar terhadap risiko sistemik dilakukan dengan menggunakan metode regresi data panel fixed-effect dan random-effect. Hasil penelitian berikut menunjukkan bahwa tingkat kompetisi (Lerner Index, Herfindahl-Hirschman Index, H-Statistic, Boone Indicator, 5-Concentration Ratio, dan Net Interest Margin) yang rendah akan diikuti dengan paparan risiko sistemik (Systemic Risk Index dan Long Run Marginal Expected Shortfall) yang semakin meningkat.

---

ABSTRACT

Bank Competition and Systemic Risk have become long-debated research issues among researchers. Researchers are trying to continue to explicate the impact of bank competition on bank systemic risk. In this paper, we examine the empirical relationship between competition and systemic risk by using the case of Indonesia, Malaysia, Philipine, Singapore, Thailand, and Vietnam regional banking system in 2005-2018. We find that competition proxies tend to escalate the regional-wide banking systemic risk. We demonstrate the hypothesis testing regarding the impact of competition on banking systemic risk by using fixed-effect panel and random-effect panel regression model. "

"ABSTRAK

Penelitian ini bertujuan untuk menyelidiki keberadaan hubungan kausalitas baik dalam jangka pendek maupun dalam jangka panjang antara kompetisi perbankan, stabilitas perbankan, dan pertumbuhan ekonomi pada 17 negara di Asia yang dibagi menjadi empat wilayah (Asia Barat, Asia Selatan, Asia Tenggara, dan Asia Timur) periode 2007-2017 dengan menggunakan data tahunan World Development Indicators yang dirilis Bank Dunia. Dalam penelitian ini, peneliti menggunakan Principal Component Analysis (PCA) dalam rangka menyusun indeks Kompetisi Perbankan (BCO) dan indeks Stabilitas Perbankan (BST) yang mana masing-masing kedua indeks tersebut terdiri atas lima variabel. Hubungan kausalitas ditentukan berdasarkan metode kausalitas panel Granger yang mengacu pada model Panel Vector Error Correction Model (VECM). Hasil penelitian menunjukkan bahwa terdapat hubungan kausalitas dalam jangka pendek dan jangka panjang antara kompetisi perbankan, stabilitas perbankan, dan pertumbuhan ekonomi meskipun hubungan kausalitas ini memiliki hasil yang bervariasi berdasarkan wilayahnya.

---

ABSTRACT

This study aims to investigate the existence of short-term and long-term causality relationships between banking competition, banking stability, and economic growth in 17 countries in Asia which are divided into four regions (West Asia, South Asia, Southeast Asia, and East Asia) for period 2007-2017 using the annual data of World Development Indicators released by the World Bank. In this study, researcher used Principal Component Analysis (PCA) in order to construct the Banking Competition index (BCO) and the Banking Stability index (BST), where each of the two indices consisted of five variables. Causality relationships are determined based on the Granger panel causality method which refers to the Panel Vector Error Correction Model (VECM) model. The results showed that there were short-term and long-term causality relationships between banking competition, banking stability, and economic growth even though this causality relationship had results that varied based on the region."

"[Tesis ini membahas faktor-faktor yang mempengaruhi fluktuasi sukuk ijarah korporasi di Indonesia Februari 2011 sampai dengan Februari 2015 (4 tahun) dengan sampel sebanyak 4 sukuk perusahaan. Penelitian ini menggunakan data kuantitatif dengan total data observasi sebanyak 280 data dan dengan menggunakan pendekatan analisa data panel. Hasil penelitian dengan fixed effect model menunjukkan bahwa tingkat suku bunga (interest rate), kurs rupiah terhadap dollar AS dan imbalan/fee (coupon rate) berpengaruh signifikan terhadap harga sukuk ijarah. Jangka waktu (time to maturity) berpengaruh tidak signifikan terhadap harga sukuk ijarah;This thesis discusses the factors that influence corporate Sukuk Ijarah fluctuations in Indonesia in February 2011 until February 2015 (4 years) with a sample of four sukuk corporate. This study uses quantitative data with observational data of 280 total data and by using a panel data analysis. The results with fixed effect model showed that interest rate, exchange rate and coupon rate significantly affects the price of sukuk ijarah. Time to maturity was?nt significantly affects the price of sukuk ijarah;This thesis discusses the factors that influence corporate Sukuk Ijarah fluctuations in Indonesia in February 2011 until February 2015 (4 years) with a sample of four sukuk corporate. This study uses quantitative data with observational data of 280 total data and by using a panel data analysis. The results with fixed effect model showed that interest rate, exchange rate and coupon rate significantly affects the price of sukuk ijarah. Time to maturity was?nt significantly affects the price of sukuk ijarah;This thesis discusses the factors that influence corporate Sukuk Ijarah fluctuations in Indonesia in February 2011 until February 2015 (4 years) with a sample of four sukuk corporate. This study uses quantitative data with observational data of 280 total data and by using a panel data analysis. The results with fixed effect model showed that interest rate, exchange rate and coupon rate significantly affects the price of sukuk ijarah. Time to maturity was?nt significantly affects the price of sukuk ijarah;This thesis discusses the factors that influence corporate Sukuk Ijarah fluctuations in Indonesia in February 2011 until February 2015 (4 years) with a sample of four sukuk corporate. This study uses quantitative data with observational data of 280 total data and by using a panel data analysis. The results with fixed effect model showed that interest rate, exchange rate and coupon rate significantly affects the price of sukuk ijarah. Time to maturity was?nt significantly affects the price of sukuk ijarah, This thesis discusses the factors that influence corporate Sukuk Ijarah fluctuations in Indonesia in February 2011 until February 2015 (4 years) with a sample of four sukuk corporate. This study uses quantitative data with observational data of 280 total data and by using a panel data analysis. The results with fixed effect model showed that interest rate, exchange rate and coupon rate significantly affects the price of sukuk ijarah. Time to maturity was’nt significantly affects the price of sukuk ijarah]"

"Tujuan penelitian ini adalah untuk mengetahui hubungan antara perkembangan pasar modal, dan sistem pembiayaan perbankan terhadap pertumbuhan ekonomi di Indonesia dari periode kuartal pertama tahun 1990 sampai dengan kuartal kedua tahun 2013. Variabel yang digunakan dalam penelitian ini adalah produk domestik bruto, rasio kapitalisasi pasar modal, rasio kredit domestik perbankan dan variabel kontrol yaitu rasio investasi dan indeks harga konsumen. Penelitian ini menggunakan model Vector Autoregression, Granger Causality, Variance Decomposition, dan Impulse Response Function untuk mengetahui hubungan antar variabel.Berdasarkan analisa kausalitas granger, sistem perbankan memberikan kontribusi yang signifikan terhadap pertumbuhan ekonomi dan begitu juga sebaliknya. Sementara itu pada sistem keuangan lainnya yaitu pasar modal tidak membuktikan adanya pengaruh bahwa perkembangannya menjadi penggerak pertumbuhan ekonomi. Namun, pengujian ini membuktikan terdapat hubungan kausalitas antara pasar modal dengan sistem perbankan.Dalam analisa Impulse Response, secara umum respon perilaku yang terjadi pada pasar modal tidak memiliki kesamaan dengan perilaku yang terjadi dalam keuangan perbankan tetapi kedua variabel tersebut memiliki kemiripan pola siklikal menuju kestabilan. Sedangkan pada Variance Decomposition masingmasing variabel menjelaskan respon terhadap guncangan dari variabel lain. Dimana guncangan yang terjadi dalam variabel produk domestik bruto berkurang setiap periode dalam peramalan varians error.

---

This study aims to determine how the relationship between stock market development and bank financing system toward economic growth in Indonesia during first quarter of 1990 until second quarter of 2013. The variables used are real gross domestic product, market capitalization ratio, total domestic credit ratio and as control variables are investment ratio and consumer price index. This study uses Vector Autoregression model, Granger Causality, Variance Decomposition, and Impulse Response Function.Regarding Granger Causality analysis, banking system proves that variable causes economic growth and bidirectional. Meanwhile, on the other hand there is no evidence of causality from stock market development to economic growth. However, this paper proves causality relationship between stock market and banking system.In general, the Impulse Response Function reveals the response of stock market behaviour is dissimilar to the response in bank financing. In fact, both of variables have similar cyclical pattern into stability. According Variance Decomposition analysis, allows to asses how a variable respond to shocks in specific variables. When considering Real Gross Domestic Product, the impact from this variable has reduced in every single period of the forecast error variance."