scholarly journals DETERMINAN INDEKS SAHAM SYARIAH INDONESIA

2021 ◽  
Vol 7 (1) ◽  
pp. 179-194
Author(s):  
Ayif Fathurrahman ◽  
Rahma Aprilia Widiastuti
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Error Correction ◽  
Error Correction Model ◽  
Stock Index ◽  
Short Term ◽  
Correction Model ◽  
Significant Negative Effect ◽  
Negative Effect

This study was conducted to determine and analyze the effect of inflation, exchange rates, and the BI Rate on the Indonesian Sharia Stock Index (ISSI). The method used in this research is the Error Correction Model (ECM). The data used are 55time series. Based on the analysis that has been done, the research results show that in the short term only the BI Rate has a significant negative effect on the Indonesian Sharia Stock Index (ISSI). Meanwhile, in the long term, the Exchange Rate and BI Rate variables have a significant negative effect on the Indonesian Sharia Stock Index (ISSI). Variable inflation has no effect on the Indonesian Sharia Stock Index (ISSI).

scholarly journals Pengaruh Dow Jones Indeks, Strait Time , dan Hang Sheng Terhadap Indeks Harga Saham Gabungan dengan Pendekatan Eror Correction Model

2019 ◽  
Vol 3 (2) ◽  
pp. 307-313
Author(s):  
Tiar Lina Situngkir
Keyword(s):  
Error Correction ◽  
Error Correction Model ◽  
Stock Index ◽  
Short Term ◽  
Correction Model ◽  
Jones Index ◽  
Time Index ◽  
Strait Time ◽  
Short And Long Term

Abstrak Tujuan penelitian ini adalah menganalisis pengaruh Dow Jones Index, Strait Times Index dan Hang seng Indeks terhadap indeks harga saham gabungan. Metodologi yang digunakan dalam menganalisa adalah Error Correction Model. Hasil penelitian menemukan bahwa DJI dalam jangka pendek dan panjang berpengaruh positif tidak signifikan. STI dalam jangka pendek dan panjang berpengaruh berpengaruh positif signifikan. HSE dalam jangka pendek dan panjang berpengaruh negatif tidak signifikan. Simpulan secara simultan dalam penelitian ini terbukti paling tidak terdapat satu variabel independen berpengaruh signifikan. Abstract The objective of this research is to analyse whether the Dow Jones Index, Strait Times Index and Hang Seng Index, each has a significant effect on Composite Stock Index. The methodology of analysis of this research is the Error Correction Model. The result of research found that in the short term Dow Jones has no significant while in the long term it has a positive and significant impact on Indonesian Composite Stock Index. Summary In the short and long term Strait Time Index has a positive and significant impact. In short and long term Hang Seng Index has no significant on Composite Stock Index.

scholarly journals Analisis Pengaruh Jangka Pendek dan Jangka Panjang Nilai Tukar dan Tingkat Imbalan SBIS Terhadap Inflasi di Indonesia Periode Januari 2009-Desember 2015

2017 ◽  
Vol 4 (11) ◽  
pp. 928
Author(s):  
Tania Megasari ◽  
Tika Widiastuti
Keyword(s):  
Exchange Rate ◽  
Error Correction ◽  
Quantitative Research ◽  
Secondary Data ◽  
Error Correction Model ◽  
Return Rate ◽  
Short Term ◽  
Correction Model ◽  
The Exchange Rate

The purpose of this research is to examine the effect of the exchange rate, and the return rate of Bank Indonesia Sharia Certificate (SBIS) on inflation in Indonesia during the period January 2009 to December 2015. The approach used in this research is quantitative research using Error Correction Model (ECM) by Eviews program 8. The data used are secondary data from the official website of Bank Indonesia. The results showed that the Exchange rate and the rate of SBIS have a significant and positive correlation against inflation in the short term and long term during the period January 2009 to December 2015.

scholarly journals Pengaruh Inflasi dan Pertumbuhan Ekonomi Terhadap Nilai Tukar Rupiah dalam Jangka Pendek dan Jangka Panjang Tahun 2010-2018

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Nur Afriyanti ◽  
Luhur Prasetiyo
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Exchange Rate ◽  
Error Correction ◽  
Error Correction Model ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
The Exchange Rate

Artikel ini bertujuan untuk mengetahui pengaruh inflasi dan pertumbuhan ekonomi terhadap nilai tukar Rupiah, baik jangka panjang maupun jangka pendek. Perubahan nilai tukar Rupiah terhadap mata uang Dollar Amerika Serikat dipengaruhi oleh banyak faktor. Di antara faktor yang mempengaruhi nilai tukar adalah kenaikan harga umum (inflasi) dan pertumbuhan ekonomi. Penelitian ini menggunakan metode analisis data Error Correction Model (ECM) dan teknik pemilihan sampel menggunakan sampel jenuh dari populasi yang berjumlah 36. Sampel dalam penelitian ini yaitu data time series/triwulan inflasi, pertumbuhan ekonomi dan nilai tukar dengan periode pengamatan selama 9 tahun yaitu tahun 2010-2018. Hasil penelitian menunjukkan bahwa dalam jangka panjang nilai tukar dipengaruhi oleh inflasi dan pertumbuhan ekonomi. Sedangkan dalam jangka pendek nilai tukar tidak dipengaruhi oleh variabel inflasi dan pertumbuhan ekonomi. Secara bersama-sama variabel inflasi dan pertumbuhan ekonomi berpengaruh signifikan terhadap variabel nilai tukar.The purpose of this research is to determine the effect of inflation dan economic growth on Rupiah exchange rate, both long-term and short-term. The movement of Rupiah exchange rate to US Dollar is influenced by many factors. Among the factors affecting the exchange rate are general price increases (inflation) and economic growth. This research uses Error Correction Model (ECM) for data analysis. The population in this study amounted to 36. The sample selection technique is saturated sample. The sample in this research is time series data on quarterly inflation, economic growth and the exchange rate in the period of 9 years, namely 2010-2018. The results show that in the long-term the exchange rate is influenced by inflation and economic growth. Whereas in the short-term the exchange rate is not influenced by inflation and economic growth variables. Furthermore, inflation and economic growth variables have a significant effect on the exchange rate variable.

scholarly journals Non Cash Payment and Demand for Real Money in Indonesia

2019 ◽  
Vol 22 (1) ◽  
Author(s):  
Wasiaturrahma Wasiaturrahma ◽  
Yuliana Tri Wahyuningtyas ◽  
Shochrul Rohmatul Ajija
Keyword(s):  
Error Correction ◽  
Credit Card ◽  
Error Correction Model ◽  
Short Term ◽  
Correction Model ◽  
Real Money ◽  
On Demand ◽  
Cash Payment ◽  
The Impact

The study analyses the impact of non-cash payment on demand for real money in Indonesia from 2010 to 2015. Utilizing the Error Correction Model (ECM), the results reveal that the use of both debit and credit card influence the demand for real money in the long term. Moreover, debit card also significantly affects the demand for real money in the short term, while the use of credit card does not have the implication.

scholarly journals ANALISIS HARGA SAHAM INDEX KOMPAS 100 DENGAN PENDEKATAN ERROR CORRECTION MODEL

2021 ◽  
Vol 4 (1) ◽  
pp. 406-414
Author(s):  
Amir Hamzah
Keyword(s):  
Error Correction ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Financial Statements ◽  
Error Correction Model ◽  
Short Term ◽  
Correction Model ◽  
Positive Effect

The purpose of this research is to analyze the short term and long term relationship between ROI, EPS, PER ,inflation, SBI, exchange rate,and GDP on Stock Price. The data in this research is company financial statements which included Compas 100 Index on the Indonesia Stock Exchange. statistical analysis in this research used stasionarity test, The Classical Assumptions Test, Cointegration Test, Error Correction Model Test. This research found that partially ROI, EPS, PER variables a positive effect on stock prices in the short term and long term, KURS and SBI a positive effect on stock prices in the short term, but there is no effect in the long term, inflation and GDP do not affect the stock price both in the short term and long term. Simultaneously affected the stock prices significantly affect on stock price both in the short term and long term.

scholarly journals The Impact of Bank Indonesia Regulation No. 17/3/2015 on Exchange Rate: Analysis Using Vector Error Correction Model (VECM)

2021 ◽  
Vol 12 (2) ◽  
pp. 131-141
Author(s):  
Muhamad Yudi Setiawan ◽  
Tanti Novianti ◽  
Mukhamad Najib
Keyword(s):  
Exchange Rate ◽  
Error Correction ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Negative Effect ◽  
The Exchange Rate ◽  
The Impact

The weakening of the Rupiah against the US dollar has encouraged Bank Indonesia to issued Bank Indonesia Regulation (Peraturan Bank Indonesia - PBI) No. 17/3/2015. The research aimed to analyze the factors that affected the Rupiah exchange rate, the effect of PBI No. 17/3/2015 on the movement of the Rupiah exchange rate, and the behavior of exchange rate movement to the shocks on the variables that influenced it. The research applied secondary data, namely monthly data from January 2008 to April 2019 taken from reliable sources such as National Development Planning Agency (Bappenas), Bank Indonesia (BI), and Statistics Indonesia (BPS). It was explanatory research with a quantitative approach. The studied data were processed with the Vector Error Correction Model (VECM) method to identify long and short-term effects. The results of the long-term equation show that export-import has a negative effect on the exchange rate. Similarly, inflation has no significant effect on the exchange rate. Then, the money supply has a significantly negative effect on the exchange rate. However, the interest rate of Bank Indonesia positively affects the exchange rate. Next, the implementation of PBI No. 17/3/2015 has a significant and positive impact on the exchange rate. Last, the crisis condition does not affect the changes in exchange rates.

scholarly journals Analisis Pengaruh Transaksi Uang Elektronik terhadap Tingkat Inflasi di Indonesia

2021 ◽  
Vol 10 (1) ◽  
pp. 56-63
Author(s):  
Ruth Damayanti
Keyword(s):  
Error Correction ◽  
Money Supply ◽  
Inflation Rate ◽  
Error Correction Model ◽  
Advanced Technology ◽  
Short Term ◽  
Electronic Money ◽  
Correction Model ◽  
The Impact

Increasingly advanced technology encourages people to make transactions using electronic money (e-money). Nowadays, more Indonesian people use electronic money in their dealings, which is proven by the increasing volume of electronic money transactions from year to year. Electronic cash is chosed because it is more practical in making transactions with traders. The rising use of electronic money can affect the money supply, which can affect the inflation rate. Several studies have stated the effect of electronic money on inflation. This study aims to determine the impact of the variable volume and nominal value of electronic money transactions (e-money) on the inflation rate in Indonesia from January 2016 to December 2020. The data used in this study are secondary data with the type of monthly time series taken from Bank Indonesia, Kementerian Perdagangan, and BPS (Badan Pusat Statistik). The analysis technique used is the ECM (Error Correction Model). The Error Correction Model in this study aims to identify long-term and short-term relationships that occur because of the cointegration between research variables and the relationship between variables that are not stationary. This study indicates that in the long term, the variables volume of e-money transactions and money supply (M2) have a significant effect on the inflation variable. In contrast, other macroeconomic variables (BI rate and nominal value of e-money transactions) has no significant impact. Meanwhile, the short-term regression model shows no variables that have a substantial effect on the inflation variable.

scholarly journals ANALISIS PENGARUH GONCANGAN FAKTOR EKSTERNAL TERHADAP PERTUMBUHAN EKONOMI

2017 ◽  
Vol 6 (1) ◽  
pp. 25
Author(s):  
Monica Wulandari ◽  
Hasdi Aimon ◽  
Mike Triani
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Error Correction ◽  
Error Correction Model ◽  
External Factors ◽  
Least Square ◽  
Significant Positive Effect ◽  
Correction Model ◽  
Positive Effect

The purpose of this research is to see how far the influence of external factors toward the economic growth in Indonesia and also to see any external factors that can decreasing economic growth in short and long term. The method is used in this research is Ordinary Least Square with use Error Correction Model (ECM) test and Cointegration. Based on analysis data was obtained three conclusions were; The first is based on the results of multiple regression, foreign investment and world oil prices and a significant positive effect on economic growth in Indonesia, while the exchange rate and foreign debt and no significant positive effect on economic growth in Indonesia at the 5% significance level. The second is in the short term through the Error Correction Model (ECM) test, the world oil price and foreign direct investment to boost economic growth while exchange rate USD / $ (NTR) and External Debt (ED) can shocks the economic growth in Indonesia. The third is in the long term through cointegration test, the variables included in the model and no significant negative effect on economic growth

scholarly journals Revisiting the effects of relevant factors on Pakistan's agricultural products export

2020 ◽  
Vol 66 (No. 12) ◽  
pp. 527-541
Author(s):  
Zaid Ashiq Khan ◽  
Mansoor Ahmed Koondhar ◽  
Noshaba Aziz ◽  
Uzair Ali ◽  
Liu Tianjun
Keyword(s):  
Error Correction ◽  
National Economy ◽  
Crop Production ◽  
Error Correction Model ◽  
Agricultural Products ◽  
Short Term ◽  
Correction Model ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag

Pakistan is an agriculture-based country, so the agricultural sector is known as the backbone of the national economy. Considering the national economy and the agricultural industry, it is necessary to focus on earnings through agricultural products export to improve the livelihood of local farmers. Therefore, the current study aimed to analyse the short-term and long-term factors affecting agricultural products export. The annual time series of 1976–2016 were collected from World Bank indicators, the Food and Agriculture Organization, and the Statistical Bureau of Pakistan. An autoregressive distributed lag, along with a vector error correction model, was employed. A cointegration test showed long-term associations between the selected variables. While the autoregressive distributed lag model confirmed the short-term correlation between area sown and crop production towards agricultural products export, there is no long-term relationship between the selected variables. In addition, the bidirectional correlation between employment in agriculture and agricultural products export was confirmed by the vector error correction model. Therefore, it is essential to increase agricultural production with the available natural resources to increase foreign earnings.

scholarly journals Credit Risk Determinants in Indonesia

2018 ◽  
Vol 1 (2) ◽  
pp. 106-115
Author(s):  
Amin Yusuf Efendi
Keyword(s):  
Time Series ◽  
Interest Rate ◽  
Credit Risk ◽  
Error Correction ◽  
Error Correction Model ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
Spurious Regression

Credit is the main business of the banking industry, therefore, in running the business, the bank is always overshadowed by the credit risk the which can be determined by the ratio of non-performing loans (NPL). The development of technology, finance digital brings the outside could impact on the financial industry both positive and negative. The purpose of this study was to analyze the interest rate, inflation, exchange rates, gross domestic product (GDP), a dummy finance digitalization policies in the long term and the short term of the non-performing loan (NPL) of conventional commercial banks in Indonesia The analytical method used in this research is-EG Error Correction Model (ECM), The Data used in this research is secondary quarterly time series data from the 2008 quarter 1-2017 4. The time series of data are not stationar Often that can cause spurious regression results, the exact models used is-EG Error Correction Model (ECM), This models may explain the behavior of short-term and long-term. The results Showed in the short-term variable interest rates significanly to non-performing loans, while in the long-term variable interest rate, exchange rate, and GDP Significantly, non-performing loans. Kredit merupakan bisnis utama dari industri perbankan, oleh karena itu dalam menjalankan bisnisnya, bank selalu dibayangi oleh risiko kredit yang dapat diketahui melalui rasio non-performing loans (NPL). Perkembangan teknologi, menghadirkan digital finance yang membawa dampak luar bisa terhadap industri keuangan baik positif dan negatif. Tujuan dari penelitian ini adalah untuk menganalisis suku bunga, inflasi, kurs, produk domestik bruto (PDB) dummy kebijakan digitalisasi keuangan dalam jangka panjang dan jangka pendek terhadap non-performing loan (NPL) bank umum konvensional di Indonesia  Metode analisis yang digunakan dalam penelitian ini adalah Error Correction Model-EG (ECM). Data yang digunakan dalam penelitian ini adalah data sekunder runtut waktu kuartalan dari 2008 kuartal 1 – 2017 kuartal 4. Data runtun waktu sering tidak stationar sehingga bisa menyebabkan hasil regresi palsu (spurious regression), Model yang tepat digunakan adalah Error Correction Model-EG (ECM), model ini dapat menjelaskan perilaku jangka pendek dan jangka panjang. Hasil penelitian menunjukkan dalam jangka pendek variabel suku bunga berpengaruh secara signifikan terhadap non performing loan, sedangkan dalam jangka panjang variabel suku bunga, kurs, dan PDB berpengaruh secara signifikan terhadap non perfoming loan.

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