Fractional cointegration between gold price and inflation rate: Implication for inflation rate persistence

2021 ◽  
Vol 74 ◽  
pp. 102369
Author(s):  
Tirimisiyu F. Oloko ◽  
Ahamuefula E. Ogbonna ◽  
Abdulfatai A. Adedeji ◽  
Noman Lakhani
Keyword(s):  
Inflation Rate ◽  
Gold Price ◽  
Fractional Cointegration

The Effect of Macroeconomic Conditions on the Performance of Vietnamese Stock Market

2021 ◽  
Vol 8 (12) ◽  
pp. 73-82
Author(s):  
Hien-Ly Pham ◽  
Ching-Chung Lin ◽  
Shih-Ju Chan
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Global Supply Chain ◽  
Gold Price ◽  
Monthly Data ◽  
Macroeconomic Conditions ◽  
The Impact

Vietnam plays an important role in the global supply chain. As one of important emerging markets, many studies have focused on Vietnam-related issues. Vietnam established two stock markets in 2000s. The market performance becomes one of interesting issues to explore. This study is to investigate the impact of macroeconomic variables, including inflation rate, exchange rate, interest rate, imports, exports, and gold price, on Ho Chi Minh stock market. The study period is from July 2000 to October 2014. Using the monthly data collected from Vietnam General Statistic Office, IMF International Financial Statistics, and Ho Chi Minh stock exchange, the empirical findings of our regression model show that there exists a positive relationship for imports and gold price, while the relationships for exchange rate and interest rate are negative. No significant relationship has been found for the variables of inflation rate and exports.

Analysis of Factors that Affect the Movement of Gold’s Price as Investment Alternatives in Indonesia

2015 ◽  
Vol 21 (4) ◽  
pp. 878-881
Author(s):  
Yuli Eni ◽  
Rudy Aryanto
Keyword(s):  
Exchange Rate ◽  
Inflation Rate ◽  
Multiple Linear Regression Model ◽  
Secondary Data ◽  
Return Rate ◽  
Gold Price ◽  
Garch Models ◽  
Short Term ◽  
Price Forecast

This study examined the dominant factors that affecting the price of gold. The factors examined are London Gold price returns, the return rate of USD—INR, JCI return, inflation rate, and the return of the EURO—USD currency, which individually or simultaneously can affect the price of gold. The purpose of this study was to investigate how influence the factors that are considered to affect the fluctuation of gold prices and gold prices predicted for the next period which can be used by investors to seek alternative investment to be made. The results will provide information to investors about gold price forecast both long-term and short-term. This study uses secondary data taken from several websites. Further data have been obtained, processed using the method of Multiple Linear Regression Model and the ECM with GARCH models, using e-views 8 and SPSS 22. As for the results obtained from the processing of the data is simultaneously the influence of variable returns no London Gold price, return rate USD—CAD, JCI return, inflation rate, and the return of the EURO currency—USD, with the return of gold in Indonesia. Individually, the variable returns the London Gold price and exchange rate USD—CAD who have an influence on the return of gold prices in Indonesia.

Oil price shocks and inflation rate persistence: A Fractional Cointegration VAR approach

2021 ◽  
Vol 70 ◽  
pp. 259-275
Author(s):  
Tirimisiyu F. Oloko ◽  
Ahamuefula E. Ogbonna ◽  
Abdulfatai A. Adedeji ◽  
Noman Lakhani
Keyword(s):  
Inflation Rate ◽  
Oil Price ◽  
Oil Price Shocks ◽  
Fractional Cointegration ◽  
Price Shocks

scholarly journals Pengaruh Pendapatan Pegadaian, Tingkat NPL, Tingkat Inflasi dan Harga Emas Tehadap Penyaluran Pembiayaan Gadai Rahn Pada Pegadaian Syariah

2020 ◽  
Vol 1 (1) ◽  
pp. 246-257
Author(s):  
Mochamad Iqbal Aulia ◽  
Iwan Setiawan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Research Method ◽  
Inflation Rate ◽  
Regression Method ◽  
Influential Factors ◽  
Gold Price ◽  
Linear Regression Method ◽  
External Influences ◽  
Multiple Linear Regression Method

There are internal and external influences that affect the distribution of financing in sharia pawnshops and in this study there is a phenomenon that is an increase in the distribution of rahn mortgage financing followed by a decrease in income, an increase in the level of NPL, an increase in the inflation rate, and a decline in gold prices. This study aims to analyze factors that are thought to have an influence on rahn financing, namely mortgage income, NPL level, inflation rate, and gold price. This research method is a multiple linear regression method and a classic assumption test. The results of this study are not the influence of pawnshop income on the distribution of rahn pawn financing and significantly influence the level of NPL, inflation rate, and the price of gold on the distribution of mortgage financing rahn. So that in the future can be a reference consideration in the distribution of rahn financing on sharia pawnshops based on these influential factors.

scholarly journals Pengaruh Pendapatan Pegadaian, Tingkat NPL, Tingkat Inflasi dan Harga Emas Tehadap Penyaluran Pembiayaan Gadai Rahn Pada Pegadaian Syariah

2020 ◽  
Vol 1 (1) ◽  
pp. 246-257
Author(s):  
Mochamad Iqbal Aulia ◽  
Iwan Setiawan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Research Method ◽  
Inflation Rate ◽  
Regression Method ◽  
Influential Factors ◽  
Gold Price ◽  
Linear Regression Method ◽  
External Influences ◽  
Multiple Linear Regression Method

There are internal and external influences that affect the distribution of financing in sharia pawnshops and in this study there is a phenomenon that is an increase in the distribution of rahn mortgage financing followed by a decrease in income, an increase in the level of NPL, an increase in the inflation rate, and a decline in gold prices. This study aims to analyze factors that are thought to have an influence on rahn financing, namely mortgage income, NPL level, inflation rate, and gold price. This research method is a multiple linear regression method and a classic assumption test. The results of this study are not the influence of pawnshop income on the distribution of rahn pawn financing and significantly influence the level of NPL, inflation rate, and the price of gold on the distribution of mortgage financing rahn. So that in the future can be a reference consideration in the distribution of rahn financing on sharia pawnshops based on these influential factors.

scholarly journals PENGARUH PENDAPATAN, HARGA EMAS DAN TINGKAT INFLASI TERHADAP PENYALURAN KREDIT DI PEGADAIAN CABANG PADANG

2018 ◽  
Author(s):  
Masri Boy Eka Putra ◽  
Muhammad Rivandi
Keyword(s):  
Research Design ◽  
Positive Relationship ◽  
Inflation Rate ◽  
Gold Price ◽  
Test Correlation

The kredit distribution is all kind of loan which must be repaid by the borrower icluding bank interest in accordance agreement that been binding. The purpose of this research is to find out the influence of income, gold price and inflation rate on credit distribution. This research design is quantitativ research. The object of this research is PT. Pegadaian the branch of padang in 2005 until 2016. In analyzing the data, this research using stating statistical non parametrik method that uses spearman's test correlation. The result of the using spearman's test, both income and gold price have a correlation which is positive relationship with credit distribution. Mean while, the inflation rate has no correlation with credit distribution.

The Determinants of Gold Price in Malaysia

2021 ◽  
Vol 4 (2) ◽  
pp. g18-25
Author(s):  
Kah Hui Ting
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Consumer Price Index ◽  
Multiple Linear Regression Model ◽  
Gold Price ◽  
Causality Test ◽  
Market Return ◽  
Stock Market Return ◽  
Lm Test

The purpose of this paper is to look into the linkage between inflation rate, exchange rate, stock market return with price of gold. The sample collected for this empirical study covered 30 years of data from 1991 to 2020. The secondary data was collected annually and total 30 observations are taken for each variable. Multiple Linear Regression model is developed to find out the linkage between variables chosen with gold prices. The independent variables included Inflation rate (Consumer Price Index), exchange rate (Malaysia to USD), stock market return (FTSE Bursa Malaysia Kuala Lumpur Composite Index) and dependent variable is Price of Gold. Besides that, several tests are used including Unit Root Test (Augmented Dickey-Fuller Test), Jarque-Bera Normality Test, Breusch-Godfrey Serial Correlation LM Test, Heteroscedasticity-White Test, Ramsey Regression Equation Specification Error (RESET) Test and Granger Causality Test. The time series analysis used as the methodology by using Eview 11 to proceed all the test. The result showed that inflation rate and exchange rate have strong positive link to gold price while stock market return does not have significant relationship with gold price. In summary, this research can provide reference for other investors.

scholarly journals Multivariate Time Series in Macroeconomics

2020 ◽  
Vol 11 (2) ◽  
pp. 151
Author(s):  
Ahmadi Ahmadi ◽  
R Adisetiawan
Keyword(s):  
Inflation Rate ◽  
Stock Exchange ◽  
Multivariate Time Series ◽  
Arima Model ◽  
Gold Price ◽  
Price Inflation ◽  
Vector Error Correction ◽  
Jones Index ◽  
The Us ◽  
Us Dollar

Gold is one of the most popular commodities and investment alternatives. Gold prices are thought to be influenced by several other factors such as the US Dollar, oil price, inflation rate, and stock exchange so that gold price modeling is not only influenced by its own value. This research was conducted to determine the best forecasting model and to find out what factors influence the price of gold. This research modeled the price of gold in a multivariate and reviewed the univariate modeling that will be used as a comparison model of multivariate modeling. Univariate modeling is done using ARIMA model where the modeling results state that gold price fluctuations as white noise. Multivariate gold price modeling is done using Vector Error Correction Model with gold, oil, US Dollar and Dow Jones indices, and inflation rate as predictors. The results showed that the VECM model has been able to model the gold price well and all the factors studied influenced the gold price. The US dollar and oil prices are negatively correlated with gold prices, while the inflation rate is positively correlated with gold prices. The Dow Jones index was positively correlated with gold prices in just two periods.

scholarly journals PENGARUH SUKU BUNGA, KURS, TINGKAT INFLASI, HARGA MINYAK DUNIA, DAN HARGA EMAS DUNIA TERHADAP HARGA SAHAM PADA INDEKS KOMPAS 100

2018 ◽  
Author(s):  
BAMBANG SUPENO ◽  
Dwiana Indah Lestari ◽  
Achmad Tavip Junaedi
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Prices ◽  
Stock Price ◽  
Inflation Rate ◽  
Descriptive Analysis ◽  
Oil Prices ◽  
Gold Price ◽  
Coefficient Of Determination ◽  
The World

This research aims to influence of interest rate, exchange rate, inflation, oil world, and the world gold price on stock price at kompas100 index. The location of this study conducted in Indonesia. While a study conducted in 2013 to 2015.The data source of this research is Kompas100 index, interest rate Bank Indonesia, the rupiah against the US dollar and the inflation rate. With 36 observations as samples. Data analysis techniques in the form of descriptive analysis, classic assumption test (test for normality, autocorrelation test, multicoloniarity test, heteroskedasitas test), as well as test hypothesis namely t test (partially), F test (simultaneous test) and test the coefficient of determination).The results of this study partially; BI rate, exchange rate, inflation rate, and the price of gold has no influence on the stock price at Kompas100 index. Partially compass world oil prices influence the price of stock in the Kompas100 index. And simultaneously BI rate, exchange rates, inflation rates, oil prices world and the world gold price have a significantly influence on stock prices in the Kompas100 index

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