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"Perbedaan utama antara JII dengan IHSG terletak pada screening process yang dilakukan terhadap JII. Beberapa penelitian terdahulu menyimpulkan bahwa JII memiliki risiko dan volatilitas yang lebih rendah dibandingkan indeks harga saham yang beraktivitas secara konvensional. Dinyatakan pula bahwa shariah screening process memberikan pengaruh positif terhadap kinerja portofolio saham syariah. Namun, berdasarkan pengamatan awal dalam jangka pendek dan jangka panjang, meskipun telah melalui serangkaian tahapan screening process, pergerakan JII cenderung memiliki pola yang hampir sama dengan pola pergerakan IHSG.Penelitian ini dilakukan dengan menggunakan model Vector Autoregressive (VAR) dan Impulse Response Functions. Indikator makroekonomi global direpresentasikan oleh harga minyak dunia, Fed Fund Rate, dan indeks Dow Jones, sedangkan indikator makroekonomi Indonesia direpresentasikan oleh tingkat inflasi dan nilai tukar. Berdasarkan model VAR, satu-satunya variabel yang berpengaruh signifikan terhadap pergerakan kedua indeks saham tersebut adalah Indeks Dow Jones.Berdasarkan Impulse Respons Function, respon JII terhadap shock variabel makroekonomi, dapat dikatakan sama dengan respon IHSG. Setelah terjadi shock pada suatu variabel makroekonomi, baik JII maupun IHSG, ternyata tidak mampu kembali pada garis keseimbangan jangka panjang secara natural. Hal ini disebabkan tidak adanya perbedaan yang prinsipil dalam mekanisme perdagangan yang berlaku di Bursa Efek Indonesia baik untuk JII maupun IHSG. Namun demikian, JII tetap memiliki keunggulan karena telah melalui screening process yang pada dasarnya lebih menekankan pada aspek kehalalan.

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The main distinction between JII and JCI is that JII has the screening process, while JCI does not have one. Some previous studies concluded that JII has lower risk and lower volatility compared to conventional JCI. Moreover, it is stated that the sharia screening process give positive impact toward the performance of sharia stock. However, based on preliminary observation, in short term and long term, the movement of JII has similar pattern as the one of JCI pattern.This study uses Vector Autoregressive (VAR) model and Impulse Response Functions. In this study, the crude oil price, Fed Fund Rate, and Dow Jones Index represent the global macroeconomic indicator, while inflation rate and exchange rate represent the indicator of Indonesia?s macroeconomic. By using VAR model, this study found that stock index movement, both of JII and JCI, are significantly influenced by Dow Jones Index.In addition, by using Impulse Response Functions, JII's response toward shock of global and Indonesia?s macroeconomic variables, which are used in this study, gives almost similar result toward the JCI's response. Overall, after the shock occured on macroeconomic variable, both JCI and JII, are unable to revert to the long term equilibrium line naturally. This is related to the trading mechanism at Jakarta Stock Exchange, which has no difference principle for both of JII and JCI. However, JII still has an advantage due to the screening process which give emphasis to "halal" aspect."

"Skripsi ini membahas mengenai pengaruh variabel makroekonomi terhadap pergerakan Indeks Harga Saham Gabungan, yang bertujuan untuk mengetahui pengaruh variabel makroekonomi berupa inflasi, suku bunga SBI, jumlah uang beredar (M2), dan nilai tukar Rupiah (Rp) terhadap Dolar Amerika (USD). Penelitian ini menggunakan metode regresi dengan OLS yang dilanjutkan dengan ARCH/GARCH karena ditemukannya masalah heteroskedastisitas pada data yang diolah. Kesimpulan dari penelitian ini adalah variabel nilai tukar Rupiah (Rp) terhadap Dolar Amerika (USD), jumlah uang beredar dan suku bunga SBI berpengaruh secara signifikan terhadap Indeks Harga Saham Gabungan di Bursa Efek Indonesia selama periode 2001-2012 sedangkan variabel inflasi tidak berpengaruh secara signifikan.

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This study investigate the influence of macroeconomic variables on Jakarta Composite Index in the 2001-2012 period. The purpose of this study is to analyze the influence of macroeconomic variables to Jakarta Composite Index such as inflation rate, SBI interest rate, money supply, Rupiah exchange rate to USD. The finding of this study based on regression model with OLS method and ARCH/GARCH method is that exchange rate variables, money supply and SBI rate significantly influence the Jakarta Composite Index and the inflation rate variables is not influence the Jakarta Composite Index significantly. This implies that beside the exchange rate, money supply and SBI rate variables there should be another macroeconomic variables that significantly influence the Jakarta Composite Index."

"Kontribusi sektor minyak dan gas bumi mempunyai peran penting dalam pertumbuhan dan pembanglman ckonomi secara global, regionai, maupun nasional khususnya Indonesia. Tetapi kondisi minyak dan gas bumi Indonesia telah mengalami penunman terutama dalam hal eksportir bahan mentah minyak semenjak Indonesia mengalami krisis moneter.Atas pertimbangan-perlimbangan tersebut, penelitian ini dilakukan guna mengetahui bagaimana pengaruh faktor ekonomi makro Indonesia tcrhadap kinelja saham sektor pertambangan minyak dan gas bumi, dan faktor mana yang sangat berpengaruh terhadap kondisi pertambangan ininyak dan gas bumi. Adapun variabel yang dilibatkan dalam faktor ekonomi makro adalah inflasi, suku blmga SBI, kurs, dan jumlah uang bcredar.Hasil penelitian menjelaskan bahwa variabel makro ekonomi berpcngaruh secara simultan terhadap kinezja saham pertambangan minyak dan gas bumi. Dan variabel makro ekonomi yang bcrpengaruh sangat besar terhadap kinerja saham pertambangan minyak dan gas bumi adalah variabel kurs.

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The contribution from oil and gas sector has a major rule in the Indonesian economic growth domestically, regional as well as globally. I-Iow ever, the oil and gas reserve and resource and its export contribution &om crude oil has been in the declining stage since the country experienced the monetary crisis in the past.Base on the above facts and consideration, this research is being conducted to know how the stock's trading performance in oil and gas sector is impacted by macro economic factor condition. Please note that the variables in these macro economic factors are: Inflation rate, SBI rate, Foreign exchange rate and Money supply.This research explains that the above macro economic factors (in particular, the following foreign exchange rate) have a direct impact on stock's performance in the oil and gas sector."

"Dalam penelitian ini, penulis menganalisis pengaruh variabel spesifik bank danvariabel ekonomi makro terhadap risiko kredit di tiga negara ASEAN yaituIndonesia, Malaysia, dan Brunei dalam lima periode mulai dari tahun 2015 sampaidengan 2019. Tujuan utama dari penelitian ini adalah untuk mengetahui variabelspesifik bank dan variabel ekonomi makro mana sajakah yang berpengaruhterhadap risiko kredit. Risiko kredit diproksikan dengan non performing financing.Penelitian ini menggunakan metode Panel Least Square. Hasil penelitianmenunjukkan bahwa variabel LAR, EAR dan Inflation berpengaruh positif dansignifikan terhadap risiko kredit. Sedangkan, variabel CAR dan GDP Growthberpengaruh negatif dan signifikan terhadap risiko kredit. Di sisi lain, SIZE tidakmemiliki pengaruh signifikan terhadap risiko kredit.

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In this study, the author analyzes the impact of bank-specific variables and

macroeconomic variables on credit risk in three ASEAN countries, which are

Indonesia, Malaysia, and Brunei during five periods start from 2015 until 2019. The

main goal of this study is to determine which bank-specific variables and

macroeconomic variables that affect credit risk. Credit risk is proxied by non

performing financing. This study use the Panel Least Square. The results show that

LAR, EAR and Inflation variables have a positive and significant effect on credit

risk. However, CAR and GDP Growth variables have a negative and significant

effect on credit risk. On the other hand, SIZE variable don’t have a significant effect

on credit risk."

"ABSTRACTNon Performing Financing is the most important issue for banks to survive. This study aims to analyze the determination of internal and external factors on Non Performing FInancing on Sharia Banking in Indonesia. This study uses Error Correction Model analysis techniques. The results show that in the short term the variables that have a significant effect on Non Performing Financing on Sharia Banking in Indonesia are inflation variables, while the Exchange Rate, Bank Indonesia Certificate of Wadiah, Industrial Production Index, Financing Deposite Ratio, and Capital Adequacy Ratio variables have no significant effect. In the long run the variables that are influential are Exchange Rate, Bank Indonesia Certificate of Wadiah, Financing Deposite Ratio, and Capital Adequacy Ratio, while Inflation and Industrial Production Index have no significant effect."

"Laporan magang ini merupakan studi yang membahas estimasi dampak dari pemilihan umum terhadap indikator makroekonomi berupa konsumsi, investasi, dan jumlah uang beredar, serta IHSG. Analisis dilakukan menggunakan metode regresi linear time-series pada data bulanan, kuartal, dan tahunan. Hasilnya, indikator konsumsi, investasi, dan jumlah uang beredar signifikan hanya pada analisis data kuartal, bukan tahunan. Temuan lainnya adalah pemilu menurunkan indeks harga saham gabungan pada periode satu bulan sebelum dan saat pemilu, namun meningkat pada periode satu bulan pasca pemilu.

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The focus of this internship report is measuring the estimated impact of the elections on macroeconomic indicators such as consumption, investment, money supply, and JCI. The analysis was performed using the method of time-series linear regression on monthly data, quarterly, and yearly. As a result, general election shows significant impact on consumption, investments, and money supply with quarterly data set analysis, but not on the yearly. Other findings are elections lowering the stock price index in the period of one month before and during elections, but quickly increased in the next month."

"Penelitian ini bertujuan untuk menganalisis pengaruh shock kondisi makroekonomi Indonesia dan tingkat bunga internasional terhadap imbal hasil Obligasi Negara dalam US Dollar. Penelitian dengan metode Vector Error Correction Model (VECM) menggunakan data bulanan yang terdiri dari imbal hasil Obligasi Negara dalam US Dollar, tingkat bunga domestik, tingkat harga, nilai tukar riil, dan tingkat bunga internasional periode bulan Januari 2006 sampai dengan Desember 2013. Hasil penelitian menunjukkan variabel tingkat bunga domestik, tingkat harga, nilai tukar riil dan tingkat bunga internasional secara signifikan berpengaruh positif terhadap imbal hasil Obligasi Negara dalam US Dollar dan terjadi mekanisme koreksi dalam model imbal hasil Obligasi Negara dalam US Dollar yang mengindikasikan adanya kointegrasi.

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This study analyzes the effect of Indonesia macroeconomic condition and international interest rate shocks on yield of the Government Bond in US Dollar. It applies Vector Error Correction Model (VECM) using monthly data consist of yield of the Government Bond in US Dollar, domestic interest rate, price level, real exchange rate, and international interest rate in the period of January 2006 to December 2013. The results show that domestic interest rate, price level, real exchange rate, and international interest rate have significantly positive impact on yield of the Government Bond in US Dollar and confirm the presence of error correction mechanism in the yield of the Government Bond in US Dollar model that indicates the existence of cointegration."

"Non-Performing Loan (NPL) merupakan indikator penting yang mencerminkan peran kredit bank dalam pertumbuhan ekonomi di dalam suatu negara. Pemerintah dan regulator menginginkan NPL yang rendah dan tingkat pertumbuhan kredit yang tinggi, sebagai sasaran untuk mencapai pertumbuhan ekonomi yang tinggi dan inflasi yang rendah. Sektor keuangan Indonesia yang sedang menghadapi resesi ekonomi tentunya akan berdampak pada kinerja bank, terutama dalam hal pencapaian NPL. Skripsi ini mengkaji NPL perbankan nasional selama 2015 – 2020, serta menyusun model empiris yang dapat digunakan untuk memproyeksikan NPL di masa mendatang. Unit sampling adalah bank yang tergabung dalam kategori bank umum konvensional yang berjumlah sebanyak 104 bank. Data yang digunakan adalah data time series untuk variabel penelitian tahun 2015 – 2020, dan teknik analisis dalam penelitian ini menggunakan analisis regresi time series dengan model estimasi Ordinary Least Square (OLS). Hasil empiris menunjukkan bahwa variabel makroekonomi suku bunga, tingkat inflasi, nilai tukar, dan US Prime Rate berpengaruh signifikan secara parsial terhadap NPL, sedangkan PDB berpengaruh negatif dan tidak signifikan secara parsial terhadap NPL. Namun demikian, suku bunga, tingkat inflasi, PDB, nilai tukar, dan US Prime Rate berpengaruh signifikan dan positif terhadap NPL secara simultan. Peneliti menemukan bahwa proyeksi NPL untuk tahun 2021: untuk skenario pesimis NPL tetap pada 5,08%, pada skenario optimis NPL akan turun menjadi 3,77%, dan pada skenario moderat NPL juga diprediksi akan turun menjadi 4,43%.

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Non-Performing Loan (NPL) is an important indicator reflecting the role of bank credit in a country's economic growth. The government and regulators want low NPL and high credit growth rates, as intermediate targets to achieve high economic growth and low inflation. The Indonesian financial sector, which is facing an economic recession, will certainly have an impact on banking performance, especially in terms of achieving NPL. This thesis reviews the NPL of national banks during 2015 – 2020, as well as developing an empirical model that can be used to project NPL in the future. The sampling unit is banks that are incorporated into conventional commercial banks, of which the total number is 104 banks. The data used are time series data for the studying variables of years 2015 – 2020 which are observed, and the analysis technique in this study used time series regression analysis with the estimation model is Ordinary Least Square (OLS). The empirical results indicate that the macroeconomic variables exerting significant influence partially to NPL are interest rate, inflation rate, exchange rate, and US Prime Rate, while GDP has a negative and insignificant effect partially both on NPL. However, the effect of interest rate, inflation rate, GDP, and also exchange rate and US Prime Rate simultaneously to NPL is significant and positive. Projecting NPL in 2021 the research found that in the pessimistic scenario, NPL remains 5.08%, in the optimistic scenario, NPL will decrease to 3.77%, and in the moderate scenario, NPL is also predicted that it will decrease to be 4.43%."

"This paper builds a regional macroeconomic model of DKI Jakarta and attempts to analyze the impacts of declining DAU revenues on the overall DKI Jakarta economy. The model uses microeconomic foundations, consists of four blocks, and is made up by 48 behavioral equations and 23 identities. The model adapts Doubinis? Chicago Metropolitan Area econometric model with some modifications. Two Stage Least Squares Methods are employed to estimate both parameters and prediction power of the model. There are two scenarios designed for forecasting, first, the scenarios of constant DAU of Rp 773,02 billion, and second, the scenario of 20% DAU decline. Comparing the constant and the declining DAU scenarios, the DAU decline does affect the growth of manufacturing sector and its number of employment, government investments, expenditures, and revenues, and the overall regional economy. However, this decline does not affect the activities in the non-manufacture sector and its employment, local government taxes and charges, and private consumptions and investments. Even though it affects the regional economy but the negative impact on growth is still less than 20%. "

"Penelitian ini membahas mengenai pengaruh variabel makro ekonomi terhadap return indeks sektoral. Data yang digunakan adalah data time series. Objek pada penelitian ini adalah indeks sembilan sektor yang terdaftar pada Bursa Efek Indonesia periode 2006-2010. Data makro variabel yang digunakan adalah indeks produksi, harga minyak dunia, cadangan devisa, nilai tukar rupiah terhadap dollar, inflasi, jumlah ekspor, jumlah impor jumlah uang beredar, harga emas dan indeks keyakinan konsumen. Data yang digunakan berupa data bulanan. Penelitian ini menggunakan regresi linier berganda. Hasil dari penelitian ini adalah kurs berpengaruh negatif pada seluruh sektor. Indeks produksi berpengaruh positif pada sektor infrastruktur & transportasi, dan berpengaruh negatif pada sektor perdagangan. Harga minyak dunia berpengaruh positif pada sektor pertambangan, cadangan devisa berpengaruh positif pada sektor aneka industri, properti & real estat, infrastruktur & transportasi, keuangan dan perdagangan. Inflasi berpengaruh negatif pada sektor perdagangan. Harga emas berpengaruh negatif pada sektor keuangan dan perdagangan. Indeks keyakinan konsumen berpengaruh positif pada sektor aneka industri dan keuangan. Ekspor, impor dan uang beredar tidak berpengaruh pada seluruh sektor.

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This study discusses about the impact of macro economics variable on the return indexes of nine sectors listed on Indonesia Stock Exchange in the period of 2006 - 2010. Macro variables in this study are production index, world oil price, foreign exchange reserve, foreign exchange rate, inflation rate, export value, import value, amount of circulating money, gold price and consumer perception index. The used data is monthly data. This study used multiple linier regression.

The results of this study show that Foreign exchange rate has negative impact on the whole sectors. Production index has positive impact on the infrastructure and transportation sectors, but has negative impact on trade sector. World oil price has positive impact on mining sector, foreign exchange reserve has positive impact on industry, property and real estate, infrastructure and transportation, finance and trade sectors. Inflation rate has negative impact on trade sector. Price of gold has negative impact on finance and trade sector. The consumer perception index has positive impact on industry and finance sectors. Export, import and amount of circulating money does not have any impact on the any sectors."