scholarly journals PENGARUH INDIKATOR MAKRO DAN HARGA EMAS DUNIA TERHADAP INDEKS HARGA SAHAM SYARIAH (JAKARTA ISLAMIC INDEX)

2019 ◽  
Vol 1 (1) ◽  
pp. 26-38
Author(s):  
Ari Agestiani ◽  
Himawan Arif Sutanto
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Capital Market ◽  
Time Series Data ◽  
Series Data ◽  
Economic Factors ◽  
Macroeconomic Factors ◽  
Analysis Technique ◽  
The World ◽  
Negative Effect

This study aims to determine macroeconomic factors such as interest rates, inflation, exchange rates, gross domestic product, and world gold prices in the Jakarta Islamic Index. This study uses time series data for 2015-2017. The data analysis technique used in this study is Multiple Linear Regression. The results of the study show that interest rates and exchange rates have negative effect on the Jakarta Islamic Index. While the world gold price looks positiveeffect towards the Jakarta Islamic Index. Meanwhile, the GDP does not oppose the Jakarta Islamic Index. R2adj value of 0.781 which shows the variation of the Jakarta Islamic Index can explain the factors of interest rates, exchange rates, world gold prices, the exchange rate and GDP of 78.1%. For investors who want to invest their capital in Indonesia, pay more attention to macro economic factors and approve selected instruments based on sharia, the main sharia capital market can make JII as a reference

scholarly journals REAKSI HARGA SAHAM PERUSAHAAN AGRIBISNIS INDEKS LQ-45 TERHADAP PERUBAHAN VARIABEL MAKROEKONOMI

2019 ◽  
Vol 7 (2) ◽  
pp. 129-140
Author(s):  
Alghif Aruni Nur Rukman ◽  
Harianto Harianto ◽  
Suprehatin Suprehatin
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Negative Effect ◽  
Stock Price Reaction

This study aims to analyze the effect of changes in macroeconomic variables, namely exchange rates, interest rates, and inflation on stock prices of agribusiness companies on the LQ-45 index. This study used monthly time series data from 2008-2018 and analyzed by the VECM method. The results showed that the stock price reaction of eight agribusiness companies in the LQ-45 index varies with changes in macroeconomic variables both in the short and long term. In the short term, changes in exchange rates had a positive and significant effect on one company stock prices, while changes in inflation and interest rates had a negative and significant effect on four companies and one company respectively. In the long term, the results showed that changes in exchange rates had a positive and significant effect on two companies’ stock prices, while it had a negative and significant effect on five companies. The result also showed that changes in inflation had a positive and negative effect on one company and six companies respectively in the long term. Also besides changes in interest rates had a positive and negative effect on two companies’ stock prices respectively.

ANALISA PREDIKSI INDEKS HARGA SAHAM GABUNGAN MENGGUNAKAN METODE ARIMA

2020 ◽  
Vol 2 (2) ◽  
pp. 454
Author(s):  
Julkifli Purnama ◽  
Ahmad Juliana
Keyword(s):  
Capital Market ◽  
Stock Price ◽  
Time Series Data ◽  
Arima Model ◽  
Secondary Data ◽  
Actual Data ◽  
Series Data ◽  
Analysis Technique ◽  
The Right ◽  
The Capital Market

Investment in the capital market every manager needs to analyze to make decisions so that the right target to produce profits in accordance with what is expected. For that, we need a way to predict the decisions that will be taken in the future. The research objective is to find the best model and forecasting of the composite stock price index (CSPI). Data analysis technique The ARIMA Model time series data from historical data is the basis for forecasting. Secondary data is the closing price of the JCI on July 16 2018 to July 16 2019 to see how accurate the forecasting is done on the actual data at that time. The results of the study that the best Arima model is Arima 2.1.2 with an R-squared value of 0.014500, Schwarz criterion 10.83497 and Akaike info criterion of 10.77973. Results of forecasting actual data are 6394,609, dynamic forecast 6387,551 selisish -7,05799, statistics forecas 6400,653 difference of 6,043909. For investors or the public can use the ARIMA method to be able to predict or predict the capital market that will occur in the next period.

scholarly journals The Effect of Inflation, US Dollar Exchange Rates, Interest Rates, and World Oil Prices on Gold Price Fluctuations in Indonesia 2014 – 2019

2020 ◽  
Vol 1 (3) ◽  
pp. 155-171
Author(s):  
Ummi Kalsum ◽  
Randy Hidayat ◽  
Sheila Oktaviani
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Time Series Data ◽  
Multiple Linear Regression Model ◽  
Oil Prices ◽  
Gold Price ◽  
Series Data ◽  
Price Fluctuations ◽  
Insignificant Effect ◽  
Us Dollar

This study aims to determine the effect of inflation, US dollar exchange rates, interest rates, and world oil prices on fluctuations in gold prices in Indonesia in 2014 - 2019. This research is a type of explanatory research with a quantitative approach. The data used are monthly time series data for 2014 - 2019 with a sample of 72 samples. The multiple linear regression model is used as an analysis technique in this study. The results of this study indicate that simultaneously (F test) inflation, USD exchange rates, interest rates, and world oil prices have a significant effect on gold price fluctuations in Indonesia. Partially (t-test) shows that the USD exchange rate has a significant positive effect on gold price fluctuations in Indonesia. Inflation and interest rates have a negative and insignificant effect on fluctuations in gold prices in Indonesia. Meanwhile, world oil prices have a positive and insignificant effect on gold price fluctuations in Indonesia.

scholarly journals Empirical Analysis of Demand for Real Money Balances in Africa: Panel Evidence from Nigeria and Ghana

2020 ◽  
Vol 19 (4) ◽  
pp. 363-376
Author(s):  
Chigozie Nelson Nkalu
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Time Series Data ◽  
Generalized Least Squares ◽  
Real Income ◽  
Seemingly Unrelated Regression ◽  
Series Data ◽  
Real Money ◽  
Development Indicators ◽  
Preference Theory

Abstract This study investigates demand for real money balances in Africa using panel time-series data from Nigeria and Ghana between 1970 and 2014. The study employs Levin, Lin, Chu common unit root process and Pedroni Residual Cointegration Test which the results reveal that all the variables in the model are stationary and cointegrated respectively. Data sourced from the World Development Indicators (WDI) were analyzed using Panel Two-Stage Estimated Generalized Least Squares (cross-section Seemingly Unrelated Regression model (SURE)) with Instrumental Variables (IV). The results conform to the liquidity preference theory, with all the variables – inflation, real interest rates, and official exchange rates are statistically significant except real income. It is recommended that the monetary authorities in Africa especially the economies of Nigeria and Ghana should adopt appropriate monetary policies by placing interest rates, inflation and official exchange rates at acceptable levels to boost income through private sector investments.

scholarly journals Peran Non Performing Financing terhadap Profitabilitas Bank Pembiayaan Rakyat Syariah dengan Inflasi sebagai Variabel Moderasi

2020 ◽  
Vol 4 (1) ◽  
pp. 111
Author(s):  
Muhammad - Zulkarnain ◽  
Heliyani Heliyani
Keyword(s):  
Cross Section ◽  
Financial Services ◽  
Time Series Data ◽  
Regression Method ◽  
Series Data ◽  
Pooled Data ◽  
Analysis Technique ◽  
West Sumatra ◽  
Negative Effect

<p><em>The research aims to examine the role of Non-Performing Financing (NPF) on the profitability of financing in Sharia Banks with inflation as a moderation variable. The population of this research is Islamic Rural Banks in West Sumatra Indonesia, which was registered in the Financial Services Authority (OJK) in the 2015-2018 period. Samples of research were taken purposively as many as seven units of Islamic Rural Banks which were spread in West Sumatra Indonesia. The data analysis technique used is a regression method with panel data (pooled data) which is a combination of cross section and time series data using Software Eviews8. The results of the analysis showed that Non-Performing Financing (NPF) has a negative effect on profitability, which is proxied by ROA. Furthermore, this research proves that the inflation does not moderate or weaken the influence of the NPF on the profitability of Islamic Rural Banks. This research contributes in expanding the direct relationship between NPF and profitability which in previous research was not elaborated further.</em><em></em></p>

Pengaruh Tingkat Suku Bunga Dan Nilai Tukar Terhadap Indeks Harga Properti Residensial (IHPR) di Indonesia Tahun 2002-2013

2015 ◽  
Vol 7 (1) ◽  
pp. 1-13
Author(s):  
Magdalena Magdalena
Keyword(s):  
Interest Rates ◽  
Granger Causality ◽  
Time Series Data ◽  
Market Price ◽  
Granger Causality Test ◽  
Series Data ◽  
Causality Test ◽  
Macroeconomic Factors ◽  
Previous Period ◽  
Var Analysis

This study aimed to analyze the macroeconomic factors such as exchange rate and interest rate in effect on the market price of the property and real estate in Indonesia (IHPR) during the years 2002-2013. Through the application of e-views, the causal relationship was found in time series data. VAR analysis and Granger Causality Test did not find any relationship between SBI and IHPR. However SBI affects EXCHANGE positively, and EXCHANGE affects IHPR. Every 1 point weakening of IDR in the previous period, assuming the IDR in the two previous periods fixed, the IHPR in year-t will increase by 0.004003 points. If IDR in two previous periods depreciated by 1 point with the assumption that the IDR at the previous period remains, then IHPR in year-t will increase by 0.007219 points. Keywords: SBI interest rates, IDR exchange rates, price of property, VAR, Granger Causality Test

scholarly journals ANALISIS FAKTOR ATAS NON-PERFORMING FINANCING BPR SYARIAH DI INDONESIA PERIODE 2012-2014

2016 ◽  
Vol 20 (2) ◽  
pp. 59-68 ◽  
Author(s):  
Endah Sulastri ◽  
Sugeng Hariadi ◽  
Mintarti Ariani
Keyword(s):  
Exchange Rates ◽  
Time Series Data ◽  
Negative Impact ◽  
Least Square ◽  
Series Data ◽  
Islamic Banks ◽  
Ordinary Least Square ◽  
Significant Negative Effect ◽  
Negative Effect ◽  
Allocation Ratio

The purpose of this research is to analyze the influence the Non Performing Financing in Sharia Rural Banking in Indonesia (BPRS). As some of the factors analyzed in influence of Non-Performing Financing (NPF) is Gross Domestic Product (GDP), Exchange Rates, policy type of financing Islamic banks as well as the allocation ratio murabaha receivables rather than the allocation of profit loss sharing financing (RF). The population in this study was all Sharia Rural Banking in Indonesia (BPRS). Data used was time series data with quantitative approach and analyzed using OLS (Ordinary Least Square). The result of this research indicate that the growth of GDP had a negative impact on the Non Performing Financing (NPF) and significant; exchange rate had a negative impact on the Non Performing Financing (NPF) but not significant; profit and loss sharing ratio of return on total return of financing (RR) has a significant negative effect on the Non Performing Financing (NPF). Murabaha financing allocation ratio to the allocation of profit loss sharing financing and a significant negative Effect on Non Performing Financing (NPF).

scholarly journals MACROECONOMIC VARIABLES AFFECTING THE FISH TRADE BALANCE IN MALAYSIA

2020 ◽  
Vol 2 (Number 2) ◽  
pp. 52-62
Author(s):  
Bee Hui Soh ◽  
Ghee-Thean Lim
Keyword(s):  
Trade Balance ◽  
Time Series Data ◽  
Trade Openness ◽  
Trade Deficit ◽  
Series Data ◽  
Macroeconomic Factors ◽  
Long Run ◽  
Negative Effect ◽  
Short Run ◽  
Fish Trade

The world demand for fish has been increasing. Malaysia has a high fish trade with other countries. However, Malaysia, which has been one of the main fish producers given its long coastlines, still experiences a fish trade deficit. The present study aims to explore the effect of macroeconomic factors on the Malaysian fish trade balance by implementing the Vector Error Correction Model (VECM) on the time series data from 1976 to 2016. The findings reveal that foreign income is positively correlated with the trade balance in both short-run and long-run. Nevertheless, trade openness, depreciation of exchange rate, and money supply show a negative effect on the trade balance for the long-run mainly. The incidents are mainly due to fish import dependence and a lack of capacity of exporting fish. To strengthen the trade balance, reducing fisheries products export duties and restricting imported fisheries products are highly recommended.

scholarly journals Analisis Tingkat Profitabilitas Perbankan Syariah di Indonesia

2020 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Nur Lailatul Fatmawati ◽  
Abdul Hakim
Keyword(s):  
Time Series ◽  
Exchange Rates ◽  
Interest Rates ◽  
Growth And Development ◽  
Time Series Data ◽  
Secondary Data ◽  
Quantitative Approach ◽  
Series Data ◽  
Islamic Banking

The ability of banks to generate profitability greatly impacts the growth and development of sharia banking. In maintaining and enhancing the growth of sharia banking, several components, both internal and external, are needed. The low profitability of banks indicates that banks are not good in their performance. Profitability is still something that is always wanted to be improved by Islamic banking because it sees the movement of Islamic banking growth that is still lagging far behind that of conventional banking. will be able to increase profitability. The purpose of this study is to determine the effect of FDR, BOPO, and exchange rates on the level of profitability (ROA). To determine the effect of NPF and interest rates on the level of profitability (ROA). To find out the influence of Mudharabah Financing, musyarakah financing and murabahah financing on profitability (ROA). This research uses a quantitative approach. The type of data used in this study is secondary data in the form of time series data. This study shows that FDR, BOPO, and exchange rates have a negative and significant effect on the level of profitability (ROA). NPF and interest rates have a negative and not significant effect on the level of profitability (ROA). Mudharabah financing, musyarakah financing and murabahah financing have a positive and not significant effect on profitability (ROA).

scholarly journals Faktor Makro Ekonomi Yang Mempengaruhi Pergerakan Harga Saham Pada Indeks Saham Syariah Indonesia (ISSI) di Bursa Efek Indonesia (BEI)

2015 ◽  
Vol 2 (11) ◽  
pp. 928
Author(s):  
Martien Rachmawati ◽  
Nisful Laila
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Stock Price ◽  
Time Series Data ◽  
Stock Exchange ◽  
Stock Index ◽  
Series Data ◽  
Regression Result ◽  
Statistical Tool ◽  
Negative Effect

The capital market presence is such an important concern for many country because it relate to its function as economic booster through investation. This study aims to analyze macro economic factors that can affect the movement of stock price at Indonesia Sharia Stock Index in Indonesia Stock Exchange as the inflation factor, SBI interest rates and exchange rates. The method used in this research is quantitative approaches in which data is obtained from Indonesia Stock Exchange and Bank of Indonesia. The data used is the time series data starting from January 2012 to April 2015. The statistical tool used is multiple linear regression. Result showed that partially inflation is not significant and have a negative relation toward ISSI’s stock price, SBI interest rate is not significant and have a positive relation toward ISSI’s stock price, exchange rate significantly influence the stock price at Indonesia Sharia Stock Index (ISSI) and have a negative effect. Simultaneously, both variable inflation rate, SBIinterest rate and the exchange rate significantly influence the stock price’s movement at Indonesia Sharia Stock Index (ISSI).

Sign in / Sign up

Export Citation Format

Share Document