scholarly journals ANALYSIS OF CATTLE FARMER EXCHANGE RATE (NTP-T) AND THE FACTORS THAT INFLUENCE IT IN SIDOARJO REGENCY

2021 ◽  
Vol 8 (5) ◽  
pp. 1-8
Author(s):  
Pawana Nur Indah ◽  
Indra Tjahaja Amir ◽  
Sudiyarto
Keyword(s):  
Exchange Rate ◽  
Random Sampling ◽  
Sampling Method ◽  
Price Index ◽  
Time Series Data ◽  
Series Data ◽  
Input Price ◽  
Analysis Method ◽  
Cattle Breeders ◽  
Cattle Farmer

Farmer Exchange Rate (NTP) is a proxy indicator or an indicator of the approach to the welfare level of breeders. The welfare of breeders can illustrate the purchasing power of farmers. The purpose of this study 1) To determine the level of welfare of cattle breeders and 2) To determine the effect of price index factors paid by farmers on the price index received by cattle breeders.This study uses NTP time series data with the base year 2012 = 100 as the basis for calculating the years 2018 - 2019. The location studied was determined by purposive sampling method in 5 districts in Sidoarjo Regency which are centers of beef cattle and dairy cows. The sample was selected by purposive random sampling as many as 75 cattle breeders. The NTP analysis method was carried out descriptively and the analysis of the factors that influenced the NTP was carried out using multiple linear regression. The results showed that the exchange rate of cattle farmers in Sidoarjo regency in 2019 increased by 1.81 percent from 109.41 in 2018 to 111.21 in 2019. This shows that cattle breeders in Sidoarjo district are experiencing a surplus or prosperity. The production input price index which includes the price of seeds, feed, and labor wages that must be paid by cattle breeders is a factor that has a significant effect on the cattle price index received by breeders.

scholarly journals Analysis of Cocoa Exchange Rates in Blitar Regency

2021 ◽  
Vol 04 (12) ◽  
Author(s):  
Pawana Nur Indah ◽  
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Random Sampling ◽  
Sampling Method ◽  
Time Series Data ◽  
Series Data ◽  
Analysis Method ◽  
Purposive Sampling ◽  
Cocoa Farmers

Farmer's Exchange Rate (NTP) is a proxy indicator or indicator of the approach to the level of farmer welfare. The welfare of farmers can describe the purchasing power of farmers. The purpose of this study was to determine the level of welfare of cocoa farmers. This study used time series data from NTP with the base year of 2012 = 100 as the basis for calculating the years 2019 - 2020. The location of the study was determined by the purposive sampling method in The Blitar Regency which is the center of Cocoa. The sample was selected by purposive random sampling as many as 60 Cocoa Farmers. The NTP analysis method was carried out descriptively. The results showed that the exchange rate of Cocoa Farmers in 2020 increased by 1.20 percent from 100.54 in 2019 to 101.75 in 2019. This indicates that cocoa farmers in The Blitar district are experiencing a surplus or prosperity.

scholarly journals Exchange Rate Pass Through in a Small Open Economy: A case study of West African Monetary Zone

2013 ◽  
Vol 9 (4) ◽  
pp. 275-290
Author(s):  
Rahman olanrewaju Raji
Keyword(s):  
Exchange Rate ◽  
Open Economy ◽  
Price Index ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Import Price ◽  
Series Data ◽  
Import Prices ◽  
Pass Through ◽  
Exchange Rate Pass Through

The  study investigated the magnitude of exchange rate pass through to import prices and domestic prices    (consumer price index) in WAMZ economy using quarterly time-series data between 2000 and 2010 with the aids of Vector autoregressive (VAR) modeling technique supported with Johansen co-integration approach cross country analysis comprising of Gambia, Ghana, Nigeria and Sierra-Leone. The study discovered that transmission of exchange rate to import prices is more when compared with consumer price in the zone while the contributions of exchange rate to import price are not less 13 percent at average in entire zone. Consumer price index was explained by exchange rate pass through with an average of 26 percent in the zone where the pass through to consumer price is less than two percent in Ghanaian economy. The Taylor (2000) hypothesis was observed in the study where Ghana and Nigeria are the outlier economies while Nigeria established a positive relationship between interest rate volatility and exchange rate pass through to import prices.

scholarly journals Analysis of Effect Macro Variable on International Trade of Indonesia

2016 ◽  
Vol 6 (2) ◽  
pp. 228
Author(s):  
Evania Rahma Octavia ◽  
Dwi Wulandari
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Interest Rates ◽  
Money Supply ◽  
Price Index ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Series Data ◽  
The Exchange Rate ◽  
Macro Variables

This study aims to determine the effect of macro variables which include Indonesia's real gross domestic income, money supply, consumer price index and interest rates on international trade mediated by the exchange rate of rupiah against the dollar. This type of research is descriptive research with quantitative approach. Determination of the sample based on quarterly time series data 2010-2014. This study uses path analysis. The results showed domestic gross product, the money supply, and interest rates together  have a significant effect on the exchange rate but the consumer price index do not have significant effect on the exchange rate. The results also show that the exchange rate has no significant effect on imports and exports. 

scholarly journals ANALISIS PENGARUH KURS, BI RATE DAN INFLASI TERHADAP IHSG DI BEI PERIODE 2014-2017

KEUNIS ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 64
Author(s):  
Esty Nidianti ◽  
Edi Wijayanto
Keyword(s):  
Exchange Rate ◽  
Stock Price ◽  
Price Index ◽  
Time Series Data ◽  
Series Data ◽  
Simultaneous Test ◽  
Stock Price Index ◽  
The Exchange Rate ◽  
Analyze Data

<p><em>The aim of this study was to determine the effect of macro economic conditions which including the exchange rate, BI rate and inflation of the composite stock price index. The study had used quantitative approach. Determination of the sample was based on time series data periode January 2014 – December 2017 by using saturation sampling method, which resulted 48 as number of samples. This study also had chosen multiple linier regression as attempts to analyze data. The simultaneous test (F test) resulted that the exchange rate, BI rate, and inflation had given significant effect on the stock price index. Meanwhile, the partial test (t test) had indicated that the exchange rate variable and BI rate significantly influenced the stock price index. In contrast, rate of inflation had not showed significant effect on the stock price index. </em><strong><em></em></strong></p>

scholarly journals PENGARUH INFLASI, BI RATE, DAN NILAI TUKAR RUPIAH TERHADAP PERUBAHAN INDEKS HARGA SAHAM.SEKTOR CONSUMER GOODS

2021 ◽  
Vol 4 (1) ◽  
pp. 51-63
Author(s):  
Diah Budi Pratiwi ◽  
Damayanti Damayanti ◽  
M. Iqbal Iqbal Harori
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Consumer Goods ◽  
Stock Price ◽  
Price Index ◽  
Time Series Data ◽  
Series Data ◽  
A Value ◽  
Stock Price Index ◽  
Positive Effect

This research aims to find out the macroeconomic influence of inflation, bi rate, and rupiah exchange rate on changes in the stock price index of consumer goods sector. The independent variables that used in this research are Inflation (X1), BI Rate (X1), and Rupiah Exchange Rate (X3) and Consumer Goods Sector Stock Price Index as dependent variable. The data in this research is a time series data that includes inflation, BI Rate, and Rupiah exchange rate data for the period 2016-2020. The samples in this research amounted to 60 samples that taken by using census sampling techniques. The data in this research was analyzed by using multiple linear regressions with simultaneous variable results of Inflation, BI rate, and Rupiah Exchange Rate significantly affecting changes in the Consumer Goods Sector Stock Price Index with a value of R Square is 0.382 or 38.2%. While the results partially show that variable inflation has a significant and positive effect, variable rupiah exchange rates has negatively affect on changes in the Stock Price Index of the Consumer Goods Sector. As for the variable BI Rate has no significant effect on changes in the Stock Price Index of the Consumer Goods Sector. ABSTRAK   Penelitian ini bertujuan untuk mengetahui pengaruh ekonomi makro inflasi, bi rate, dan nilai tukar rupiah terhadap perubahan indeks harga saham sektor consumer goods. Variabel bebas yang digunakan pada penelitian ini yaitu Inflasi (X1), BI Rate (X1), dan Nilai Tukar Rupiah (X3) serta Indeks Harga Saham Sektor Consumer Goods sebagai variabel terikat. Data pada penelitian ini merupakan data time series yang meliputi data Inflasi, BI Rate, dan Nilai Tukar Rupiah untuk periode tahun 2016-2020. Sampel pada penelitian ini berjumlah 60 sampel yang diambil dengan menggunakan teknik sampling sensus. Data pada penelitian ini dianalisis dengan menggunakan regresi linier berganda, dengan hasil secara simultan, variabel Inflasi, BI rate, dan Nilai Tukar Rupiah berpengaruh signifikan terhadap perubahan Indeks Harga Saham Sektor Consumer Goods. Secara parsial, variabel inflasi berpengaruh signifikan dan positif, serta variabel nilai tukar rupiah berpengaruh negatif terhadap perubahan Indeks Harga Saham Sektor Consumer Goods. Sedangkan untuk variabel BI Rate tidak berpengaruh secara signifikan terhadap perubahan Indeks Harga Saham Sektor Consumer Goods.

scholarly journals The model predict bankruptcy of bank in Indonesia: macro and micro indicators

2020 ◽  
Vol 16 (3) ◽  
pp. 154-164
Author(s):  
Novi Primita Sari ◽  
M. Faisyal Abdullah ◽  
Agung Prasetyo N.W
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Exchange Rate ◽  
Time Series Data ◽  
Series Data ◽  
Internal Variables ◽  
Company Size ◽  
Analysis Method ◽  
Macroeconomic Variables ◽  
Flow Test

This study aims to find the best model with a combination of macroeconomic variables and micro or internal variables of the bank itself to predict bankruptcy in Indonesian banks, especially state-owned banks represented by BRI Bank as the object of research. This research is a quantitative study using time series data using a regression analysis method where the selected macro and micro variables will be formed as models and tested for later analysis. There are two models used in this study, namely the Grover model and the Zmijewski model. The result of this research is to find an appropriate model to predict bankruptcy using macro and micro variables, and the best after the flow test is Grover's model. The groover model can produce a combination of macro and micro variables in accordance to investigate bankruptcy by proving that the macro variable that affects is the exchange rate, while from the micro side built by LDR, ROA, and company size.

scholarly journals PENGARUH JUMLAH UANG BEREDAR, KURS US DOLLAR DAN INDEKS HARGA KONSUMEN TERHADAP INDEKS HARGA SAHAM SEKTOR PERDAGANGAN DI BURSA EFEK INDONESIA

Media Ekonomi ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 93
Author(s):  
Nurlia Rahmatika
Keyword(s):  
Exchange Rate ◽  
Money Supply ◽  
Stock Price ◽  
Price Index ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Sampling Technique ◽  
Series Data ◽  
Independent Variable ◽  
Stock Price Index

<em>This study aims to determine the analysis of the influence of the Money Supply (M2), the USD Exchange Rate and the Consumer Price Index.</em> <em>The research methodology used is a quantitative method with time series data and data sources derived from secondary data obtained from the Indonesia Stock Exchange. The sampling technique uses purposive sampling method with monthly data and research period from January 2009 to December 2016. The data analysis technique used is multiple linear regressions.</em> <em>The results of this study indicate that partially the independent variable Amount of Money has a positive and significant effect on the Trading Sector Stock Price Index. While the independent variable USD Exchange Rate and Consumer Price Index has a negative and significant effect on the Trading Sector Stock Price Index. Meanwhile, simultaneously the independent variable consisting of Money Supply, the USD Exchange Rate and the Consumer Price Index together have a significant relationship to the dependent variable, namely the Trade Sector Stock Price Index. </em>

scholarly journals Analisis Pengaruh Makroekonomi, Komoditas Dunia, dan Indeks Dunia terhadap Indeks Harga Saham Gabungan (IHSG) pada Periode 2014-2019

2021 ◽  
Vol 9 (1) ◽  
pp. 295
Author(s):  
Fadhil Ahmad
Keyword(s):  
Exchange Rate ◽  
Sampling Method ◽  
Time Series Data ◽  
Composite Index ◽  
Gold Price ◽  
Series Data ◽  
Dow Jones Industrial Average ◽  
Negative Effect ◽  
Positive Effect ◽  
Daily Time

This research explains the influence of inflation, Exchange Rate, BI Rate, GDP, World Gold Price, Crude Oil Price, Dow Jones Industrial Average (DJIA), and Nikkei 225 toward Jakarta Composite Index (JCI). Type of research used in causality research with a quantitative approach. The sample was based on daily time series data from 1 January 2014 until 31 December 2019, using a complete sampling method that consists of 2190 samples. This research used a generalized autoregressive conditional heteroskedasticity (GARCH) method. The result of hypothesis testing by the GARCH method shows that the World Gold Price and Dow Jones Industrial Average significant have a positive effect, Then the Nikkei 225 significant have a negative effect, and then the Inflation, Exchange Rate, BI Rate, and GDP have not significant to the Jakarta Composite Index (JCI). The implication of this research provides information to investors who must pay attention to World Gold Price, Dow Jones Industrial Average, and Nikkei225 if they want to invest in Indonesian.

scholarly journals Pergerakan Harga Saham Syariah Pada Saham Bank Syariah Di lihat Dari Faktor Makroekonomi

2018 ◽  
Vol 5 (1) ◽  
pp. 175
Author(s):  
Rais Sani Muharrami ◽  
Shufiatul Zahidah ◽  
Ika Yoga
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Price ◽  
Price Index ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Macroeconomic Indicators ◽  
Bank Stock ◽  
Stock Price Index

This study aims to determine the macroeconomic indicators that affect sharia banking stock price index period 2014-2016. Four variables consist of inflation, BI interest rate, rupiah exchange rate and SBIS are considered to have an effect on the syariah bank stock price index. This research uses quantitative method. This study uses monthly time series data which is analyzed by multiple linear regression. The data used are secondary data with 36 data from January 2014-December 2016. Data collection is taken with documentation techniques sourced from the official website of Bank Indonesia and yahoofinance.com. The results showed that inflation did not significantly influence the sharia bank stock price index. While the BI interest rate, the exchange rate of rupiah and SBIS have a significant influence on PT Bank Panin Dubai Syariah Tbk stock price index. From the results of this study, it can be concluded that the indicators considered in the PT Bank Panin Dubai Syariah Tbk stock price index are BI rate, rupiah exchange rate and SBIS.

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

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