Hasil Pencarian  ::  Simpan CSV :: Kembali

"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."

"[ABSTRAKPenelitian ini menyelidiki pengaruh kinerja dan risiko bank terhadap perubahanjumlah pinjaman antar bank, tingkat suku bunga pinjaman antar bank, serta imbalhasil saham bank.Sampel penelitian meliputi 6 bank anggota indeks LQ45 padaperiode per-kuartal 2010-2014.Metode regresi memakai regresi panel denganrandom effect dan pooled least squares. Hasil penelitian menunjukkan bahwakinerja dan risiko bank mempengaruhi tingkat suku bunga pinjaman antar bank,dan faktor biaya mempengaruhi tingkat imbal hasil saham bank.ABSTRACTThis research aims to investigate the impact of bank risk and performance on therate of change in interbank borrowing, interbank borrowing interest rate, andstock return. Research sample includes 6 banksfrom LQ45 indexfor the quarterlyperiod of 2010-2014. This paper employes panel regression techniquewithrandom effect modeland pooled least squares model. Research?s finding suggeststhatbank risk and performance influenced interbank borrowing interest rate andoverhead cost affects bank?s stock return.;This research aims to investigate the impact of bank risk and performance on therate of change in interbank borrowing, interbank borrowing interest rate, andstock return. Research sample includes 6 banksfrom LQ45 indexfor the quarterlyperiod of 2010-2014. This paper employes panel regression techniquewithrandom effect modeland pooled least squares model. Research?s finding suggeststhatbank risk and performance influenced interbank borrowing interest rate andoverhead cost affects bank?s stock return.;This research aims to investigate the impact of bank risk and performance on therate of change in interbank borrowing, interbank borrowing interest rate, andstock return. Research sample includes 6 banksfrom LQ45 indexfor the quarterlyperiod of 2010-2014. This paper employes panel regression techniquewithrandom effect modeland pooled least squares model. Research?s finding suggeststhatbank risk and performance influenced interbank borrowing interest rate andoverhead cost affects bank?s stock return.;This research aims to investigate the impact of bank risk and performance on therate of change in interbank borrowing, interbank borrowing interest rate, andstock return. Research sample includes 6 banksfrom LQ45 indexfor the quarterlyperiod of 2010-2014. This paper employes panel regression techniquewithrandom effect modeland pooled least squares model. Research?s finding suggeststhatbank risk and performance influenced interbank borrowing interest rate andoverhead cost affects bank?s stock return.;This research aims to investigate the impact of bank risk and performance on therate of change in interbank borrowing, interbank borrowing interest rate, andstock return. Research sample includes 6 banksfrom LQ45 indexfor the quarterlyperiod of 2010-2014. This paper employes panel regression techniquewithrandom effect modeland pooled least squares model. Research?s finding suggeststhatbank risk and performance influenced interbank borrowing interest rate andoverhead cost affects bank?s stock return., This research aims to investigate the impact of bank risk and performance on therate of change in interbank borrowing, interbank borrowing interest rate, andstock return. Research sample includes 6 banksfrom LQ45 indexfor the quarterlyperiod of 2010-2014. This paper employes panel regression techniquewithrandom effect modeland pooled least squares model. Research’s finding suggeststhatbank risk and performance influenced interbank borrowing interest rate andoverhead cost affects bank’s stock return.]"

"Using the Consumer Price Index (CPI) data of 82 Indonesian cities, we propose the hypothesis of heterogeneity in the cities’ contribution to the aggregate Indonesian CPI. Using a price discovery model fitted to monthly data, we discover that (1) of the 23 cities in the province of Sumatera, five contribute 44% and nine contribute 66.7% to price changes, and (2) of the 26 cities in Java, four alone contribute 41.6% to price changes. Even in smaller provinces, such as Bali and Nusa Tenggara, one city alone dominates the change in aggregate CPI. From these results, we draw implications for maintaining price stability."

"Dengan menggunakan regresi data panel 14 negara yang terdaftar di indeks MSCI Emerging Market (2016) dan periode 2002-2014, skripsi ini menunjukkan bahwa dalam memprediksi return ekspektasi pasar saham satu tahun kedepan, pertumbuhan ekonomi kuartal IV mempunyai kekuatan prediktor yang signifikan lebih baik daripada pertumbuhan kuartal lainnya termasuk pertumbuhan secara annual yang ditemukan lemah. Pertumbuhan ekonomi kuartal I mempunyai kekuatan prediktor yang lebih lemah, tetapi menariknya pertumbuhan ekonomi kuartal lainnya tidak memilikki kekuatan prediktor yang berarti. Walaupun demikian, nilai Adj. R-Square yang relatif rendah dengan nilai maximum hanya 11.07% menunjukkan bahwa kekuatan prediktor dari variabel makroekonomi yang digunakan dalam skripsi ini tetap tidak terlalu kuat.

---

By using panel data regression with 14 emerging countries listed in MSCI Emerging Market Index (2016) over the period 2002-2014, this paper shows that fourth quarter economic growth is a far better predictor of one-year-ahead stock market?s expected return than economic growth during the rest of the year, including annual economic growth which this paper found to be a very weak predictor. First quarter economic growth has smaller predictive power but for the rest of the year, this predictive power does not exist. However, low Adj R-Square (with a maximum of only 11.07%) suggest that the macroeconomic variables used in this paper are still not strong predictor of one-year-ahead stock market?s expected return."

"This study analyzes the correlation and the interaction commodity groups which determine the inflation rate in West Sumatera. Using the monthly data from January 2002 to December 2008, the estimation applies the vector error correction model (VECM) in order to analyze the dynamic of commodity prices in the model...."

"[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.]"

"Skripsi ini membahas pengaruh order imbalance terhadap imbal hasil dan volatilitas harga saham teraktif berdasarkan volume perdagangan di Bursa Efek Indonesia. Tujuan penelitian ini adalah untuk menganalisis pengaruh order imbalance terhadap imbal hasil dan volatilitas. Pendekatan yang digunakan adalah pendekatan kuantitatif dengan menggunakan teknik purposive sampling pada saham teraktif berdasarkan volume perdagangan di Bursa Efek Indonesia selama kuartal kedua (April-Juni) Tahun 2011. Penelitian ini menggunakan data time series dengan model Mixed Multiple Linear Regression (MMLR). Hasil penelitian menunjukkan bahwa order imbalance memiliki pengaruh positif yang signifikan terhadap imbal hasil dan volatilitas harga saham.

---

The focus of this study is the order imbalance effect's on return and price volatility of the most active stocks based on trading volume in Indonesian Stock Exchange. The purpose of this study is to analyze the order imbalance effect's on return and volatility. This research is quantitative explanative with purposive sampling technique on the most active stocks based on trading volume in Indonesian Stock Exchange 2nd quarter (April-June) 2011. This research employs time series data with Mixed Multiple Linear Regression Model (MMLR). The results showed order imbalance has positive significant effect on return and stock price volatility."

"Studi ini menguji pergerakan dari indeks harga saham syariah di Indonesia terhadap perubahan pada sentimen investor dan faktor-faktor makroekonomi. Dalam studi ini, sentimen investor proksi yang digunakan adalah Consumer Confidence Index CCI, sementara variabel faktor-faktor makroekonomi variabel yang digunakan adalah Indeks Harga Saham Gabungan IHSG, Indeks Produksi Industri IPI, Consumer Price Index CPI, nilai tukar rupiah terhadap Dollar Amerika Serikat, tingkat penawaran uang, dan tingkat suku bunga BI Rate. Penelitian ini menggunakan metode pengujian Ordinary Least Square dengan frekuensi data bulanan dari bulan Januari 2006-Juni 2016. Studi ini melaporkan bahwa CCI, IHSG, dan tingat penawaran uang, memiliki pengaruh signifikan terhadap imbal hasil saham syari'ah JII.

---

This study examines the level of exposure Islamic stock price indices in Indonesia to the relative change in investor sentiment index and macroeconomic factors. For investor sentiment, the proxy is the Consumer Confidence Index CCI. For macroeconomic variables, the proxies are Indonesia Composite Index, industrial production index, consumer price index, the exchange rate of rupiah against the US dollar, money supply, and interest rates the data used for this variable is the BI Rate. The author conducts the ordinary least square OLS test with the monthly data from January 2006 to June 2016. The study reports that CCI, Indonesia Composite Index, and money supply have the significant influence in Islamic Price Index in Indonesia."