scholarly journals Analysis of the Effect of Macro Economic Indicators and Dow Jones Index on IDX Composite in Indonesia Stock Exchange

2021 ◽  
Vol 8 (9) ◽  
pp. 294-310
Author(s):  
Isra Rafika Sihombing ◽  
Irsad . ◽  
Ahmad Albar Tanjung
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Analysis Model ◽  
Jones Index ◽  
Insignificant Effect ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Macroeconomic Effect

Study aims to analyze the macroeconomic effect of the Dow Jones index on IDX Composite on the Indonesia Stock Exchange. The variables used in the macro economy are inflation, kurs, SBI rate, FED rate. Another variable is the Dow Jones index. This study uses quarterly secondary data from 2010 to 2020. The data analysis model uses the Autoregressive Distributed Lag (ARDL) approach. The results of the ARDL model analysis show that in the long term inflation, kurs, and FED rate has a negative and insignificant effect on the IDX Composite, SBI rate variable has a positive and not significant effect on the IDX Composite, the Dow Jones index variable has a positive and no significant effect on the IDX Composite significant to the IDX Composite. In the short term, inflation has a negative and insignificant effect on the IDX Composite, kurs has a negative and significant effect on the IDX Composite, SBI rate has a positive and insignificant effect on the IDX Composite, FED rate and the Dow Jones index have a positive and significant effect on the IDX Composite. Keywords: IDX Composite, Inflation, Kurs, SBI Rate, FED Rate, Dow Jones index.

scholarly journals Autoregressive Distributed Lag Kurs Dan Ekspor Karet Remah Terhadap Pertumbuhan Ekonomi Indonesia

2020 ◽  
Vol 3 (2) ◽  
pp. 47
Author(s):  
Nulhanuddin Nulhanuddin ◽  
Devi Andriyani
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Crumb Rubber ◽  
Short Term ◽  
Insignificant Effect ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach

This study aims to determine the effect of short-term and long-term exchange rates and crumb rubber exports on the economic growth of Indonesia. The data used are secondary data for 39 years from 1980 to 2018 accessed on www.world.bank.wdi.data.bank.org, www.pertanian.go.id, www.bps.go.id, and www.bps.go.id. The data analysis method used is the Autoregressive Distributed Lag (ARDL) approach with the help of EViews 10 software. The results show that the economic growth is stationary at the level and exchange rate and exports of stationary crumb rubber at the first difference level and have cointegration in the long-term relationship. The test results in the short-term analysis of the exchange rate have a positive and significant effect, and exports have a positive but insignificant effect on economic growth, while in the long run, the exchange rate has a negative effect but insignificant, and exports have a positive but insignificant effect on the economic growth of Indonesia. Keywords:economic growth, exchange rates, exports and the ARDL approach.  

scholarly journals The relationship between renewable energy and sustainable development in Indonesia

2021 ◽  
Vol 922 (1) ◽  
pp. 012034
Author(s):  
G Syamni ◽  
Wardhiah ◽  
Zulkifli ◽  
M J A Siregar ◽  
Y A Sitepu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Secondary Data ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short And Long Term ◽  
The Relationship ◽  
Positive Effect

Abstract This paper is conducted to examine the relationship between the use of renewable energy and FDI in Indonesia. The data used in this study is secondary data that has been published by the World Bank and accessed in www.Data.worldbank.org. periode 2004-2019. The data analysis method used is the autoregressive distributed lag (ARDL) method. The results of the study found that the use of renewable energy in the short and long term has a positive effect on Indonesia’s economic growth. Meanwhile, the same thing is also shown from the FDI variable in the short term and long term which has a significant positive effect on economic growth and has a positive effect on economic growth. Finally, with this finding, it is concluded that both the short and long term the Indonesian government needs to make a breakthrough to explore renewable energy sources for economic growth.

scholarly journals MACROECONOMIC VARIABLES AND RISING FOOD PRICES: EMPIRICAL EVIDENCE FROM PAKISTAN

2014 ◽  
Vol 10 (1) ◽  
Author(s):  
Hamid Salman ◽  
Keyword(s):  
Time Series Data ◽  
Food Prices ◽  
Series Data ◽  
Energy Prices ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Short Run ◽  
Food Commodities

Purpose: This study examines the long and short-run impact of macroeconomic variable on rising food commodities prices. Methodology/Sampling: For this paper mixed method approach is used, quantitative time series data over the period 1991-2013 and autoregressive distributed lag (ARDL) approach to Co-integration, whereas qualitative data is collected from thematic analysis of many past researches in order to determine the most and least critical consequences of food prices skies by using NVIVO 10 software technique “tree map”. Findings: The result shows energy prices and dollar prices have positive beta coefficients and having statistically significant impact on rising food commodities price index Moreover, the error correction model’s coefficient is with negative sign that suggests its expected significant adjustment toward long-term. Whereas the qualitative results identified different variables have different magnitude of relationship with rising food prices in different situation; Exchange rate, energy prices, money supply are the most critical consequences of rising food items prices. Practical Implications: The study therefore recommends that government should develop and integrated efficient and effective energy and monetary policy with long-term future development outline of controlling food inflation.

scholarly journals Analisis Daya Saing Ekspor Lada Juga Pengaruhnya Bagi Cadangan Devisa di 5 negara Pengekspor Utama Lada (Studi Kasus Indonesia, Malaysia, Vietnam, Brazil dan India)

2021 ◽  
Vol 3 (3) ◽  
pp. 23
Author(s):  
Nuriman Ramadhani ◽  
Murtala Murtala ◽  
Fanny Nailufar ◽  
Yurina Yurina
Keyword(s):  
Foreign Exchange ◽  
Comparative Advantage ◽  
Analysis Model ◽  
Foreign Exchange Reserves ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Export Competitiveness ◽  
Index Value

This study aims to analyze the level of export competitiveness of pepper and its effect on foreign exchange reserves in the 5 main exporting countries of pepper (a case study in Indonesia, Malaysia, Vietnam, Brazil, and India). The analysis model used is Revealed Comparative Advantage (RCA) and the Panel Autoregressive Distributed Lag (PARDL) method. The results of the analysis in this study with the RCA index show that Vietnam is the largest exporter of pepper with an RCA index value of 1.2631, followed by Brazil with an RCA value of 1.136. For countries, Indonesia, Malaysia, and India still below average competitiveness and still have to increase their pepper exports. Furthermore, the analysis using PARDL shows that in the long term, the pepper export has a positive and significant effect on foreign exchange reserves with probability (0.000 <0.05), but the pepper export has no positive and insignificant effect on foreign exchange reserves with the probability of 0.3577> 0.05).

scholarly journals Pengaruh penanaman modal dalam negeri (PMDN), penanaman modal asing (PMA), ekspor dan impor terhadap pertumbuhan ekonomi Provinsi Jambi

2020 ◽  
Vol 15 (2) ◽  
pp. 267-276
Author(s):  
Dian Setia Ningsih ◽  
Haryadi Haryadi ◽  
Siti Hodijah
Keyword(s):  
Economic Growth ◽  
Analysis Model ◽  
Economic Activities ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Poverty And Inequality ◽  
Negative Effect ◽  
The Government ◽  
Positive Effect

This study aims to analyze the development of PMDN, PMA, Exports, Imports, and Economic Growth in Jambi province and to analyze the influence of PMDN, PMA, Exports, and Imports on economic growth in Jambi province. The analysis model used is the Autoregressive Distributed Lag (ARDL). The results showed that in the short term PMDN had a significant negative effect on economic growth. PMA has a positive and significant effect on economic growth. Exports have a significant positive effect on economic growth. In the long term, PMDN has a positive and significant effect on economic growth. PMA has a negative and significant effect on economic growth. The export variable has a positive and significant effect on economic growth. And imports have a positive but insignificant effect on economic growth. It is hoped that economic growth will continue to increase from year to year, so the government must play an important role in increasing economic activities that have existing potentials so that the people's income is high which also reduces poverty and inequality that occurs.

scholarly journals The impact of financial policy on economic growth in Jordan (2000-2017)

2020 ◽  
Vol 71 (2) ◽  
pp. 97-108
Author(s):  
Nawaf Alghusin ◽  
Ayman Abdalmajeed Alsmadi ◽  
Esraa Alkhatib ◽  
Atala Mohammad Alqtish
Keyword(s):  
Economic Growth ◽  
Financial Policy ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Domestic Credit ◽  
Long Time ◽  
Taxation System ◽  
The Impact

The aim of this paper is to examine the impact of financial policy on rate of economic growth in Jordan for the period of (2000-2017) taking into the considerations the fluctuations of taxation system. Autoregressive Distributed Lag (ARDL) approach has been utilized in order to analyze the long term relationship between study variable which are; money supply (M2), domestic credit provided by banks (DCBS) and real Gross Domestic Product GDP. The results shows that, money (M2) and domestic credit provided by banks (DCBS) can effects on GDP in Jordan for the study period. The taxation system in Jordan has been fluctuated many times during 2017 and 2018, which made the data partly not available. This led the researchers to spend long time to find an accurate data in order to finalize this study. This study will add good practical evidence on the impact of changing the taxation system positively or negatively on the economic growth.

scholarly journals ANALISIS KINERJA SISTEM KEUANGAN SYARIAH TERHADAP PERTUMBUHAN EKONOMI INDONESIA

2019 ◽  
Vol 5 (5) ◽  
pp. 395
Author(s):  
Khoirul Zadid Taqwa ◽  
Raditya Sukmana
Keyword(s):  
Economic Growth ◽  
Market Share ◽  
Significant Role ◽  
Stock Index ◽  
Islamic Finance ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Performance System

This research is aimed to examinethe contribution of Islamic finance performacesystem especially intermediation function to economic growth in Indonesia during 2003:Q1- 2015:Q4.Objects of this research areIslamic bank and Jakarta Islamic stock index (JII) as representing Indonesia Islamic financial system. This research only focuses on financing of Islamic financial Instutions to foster Indonesia economic growth.Focusing on the post-1997 and 2008 economic turmoil, the paper relies on Autoregressive Distributed Lag (ARDL) approach to examine the research. This research shows that Indonesia Islamic finance performance system can foster Indonesia economic growth during 2003-2015. Besides Indonesia Islamic finance performance system has significant role to promote economic growth in long term because it can eradicate financial specualtion.Hence IndonesiaIslamic finance performance system in the future should be supported by goverment to expand Islamic finance market share 

scholarly journals Determinan dan Stabilitas Ekspor Crude Palm Oil Indonesia

2017 ◽  
Vol 20 (1) ◽  
pp. 47
Author(s):  
Eva Nurul Huda ◽  
Arif Widodo
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Negative Impact ◽  
Series Data ◽  
Independent Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Short And Long Term

<p><em>We analyze the influence of CPO production, exchange rate, international CPO price and the terms of trade on Indonesian CPO exports in October 2011-December 2015. In doing so, we use the Autoregressive Distributed Lag (ARDL) approach to analyze the monthly time-series data for the periods of 2011:M10-2015:M12. Our findings suggest that both in the short- and long-term, the international CPO price has a significantly negative impact on Indonesia's CPO exports. Meanwhile, the CPO production and exchange rate have negative and significant effects on Indonesia's CPO exports both in short- and long-term. Taken together, all the independent variables have significant effects on Indonesia’s CPO export. Finally, based on CUSUM and CUSUMQ test, it shows that the long-term coefficient of the CPO exports model is stable.</em></p><p><em><br /></em></p><p align="center"><strong>Abstrak</strong></p><p align="center"><strong> </strong></p><p><em>Tujuan dari studi ini adalah untuk menganalisis seberapa besar pengaruh dari produksi kelapa sawit, nilai tukar rupiah terhadap dollar AS, harga CPO internasional dan <em>Term of Trade</em> terhadap ekspor CPO Indonesia pada periode Oktober 2011 sampai dengan Desember 2015. Penelitian ini menggunakan pendekatan <em>Autoregressive Distributed Lag</em> (ARDL) dengan data sekunder runtut waktu bulanan untuk periode 2011:M10-2015:M12. Hasil dari penelitian ini menunjukkan bahwa harga CPO internasional mempunyai efek negatif dan signifikan, baik dalam jangka pendek maupun jangka panjang terhadap ekspor CPO Indonesia. Variable<em> Term of Trade</em> dalam jangka pendek maupun panjang mempunyai efek positif dan signifikan terhadap ekspor CPO, sedangkan variabel produksi kelapa sawit dan nilai tukar rupiah terhadap dolar Amerika mempunyai pengaruh negatif dan signifikan terhadap ekspor dalam jangka pendek maupun panjang. Lebih lanjut, semua variabel independen secara bersama-sama mempengaruhi ekspor CPO di Indonesia, sehingga hipotesis yang menunjukkan tidak ada hubungan antara variabel independen dan dependen ditolak. Terakhir, berdasarkan pada uji CUSUM dan CUSUMQ dapat disimpulkan bahwa model ekspor CPO stabil dalam jangka panjang.<br /></em></p>

scholarly journals Pengaruh Sertifikat Bank Indonesia Syariah (SBIS), Jakarta Islamic Index (JII), Tingkat Inflasi, dan Index Harga Saham Gabungan (IHSG) Terhadap Nilai Tukar: Pendekatan Autoregressive Distributed LAG (ARDL)

2017 ◽  
Vol 4 (10) ◽  
pp. 833
Author(s):  
Nur Fadhilah ◽  
Raditya Sukmana
Keyword(s):  
Quantitative Research ◽  
Secondary Data ◽  
Short Term ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
The Us ◽  
Negative Effect ◽  
Us Dollar

This study aims to review the effect of macro economic factors such as BankIndonesia Sharia Certificates (BISC), Jakarta Islamic Index (JII), Inflation, and Indonesia Composit Index (ICI) Against Exchange Rate of Rupiah Period 2013-2016 both long term and short term. This quantitative research used Autoregressive Distributed (ARDL) method. The data used is secondary data by collecting data from official website of Bank Indonesia, Yahoo Finance and PT. IDX) period 2013 to 2016. ARDL results show that In the short term variable JII, ICI, and BISC have a significant negative effect which means increaseing the variable will cause the Rupiah appreciate against the US Dollar. While variable Inflation has a positive value which means rising inflation will lead the Rupiah depreciate. In the Long run BISC and JII variable is negative and significant, while ICI is positive and inflation is negative not-significant.

Dynamic Nexus between Economic Growth and Total Reserve and Aggregate Consumption Expenditure: An ARDL Approach

2020 ◽  
Vol 11 (10) ◽  
pp. 683-688
Author(s):  
Md. Obidul Haque ◽  
Saddam Hossain ◽  
Mehedi Hasan
Keyword(s):  
Economic Growth ◽  
Consumption Expenditure ◽  
Explanatory Variables ◽  
Aggregate Consumption ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Short And Long Term ◽  
Bound Test

This paper tries to see the association among reserve, aggregate consumption expenditure, and economic growth by employing the autoregressive distributed lag (ARDL) model. Both the explanatory variables such as consumption and reserve are statistically significant. The consumption expenditure is strongly affecting the economic growth both in the short and long-term. Performing the ADF and PP test the variables are integrated order of one I(1). The bound test confirmed that the long-term association exists between the variables. There ¬is a unidirectional association found among the variables.

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