World Gold Price Research Articles

Analisis Pengaruh Suku Bunga, Harga Minyak Dunia, Harga Emas Dunia Terhadap Indeks Harga Saham Gabungan Dengan Inflasi Sebagai Variabel Moderating Di Indonesia

This research is intended to know the influence of interest rate, world oil price, and world gold price on joint stock price index with inflation as a moderating variables in Indonesia. Population in this research is Indonesia and 20 of them were selected to be the samples for this research through purposive sampling technique. Estimates conducted by the multiple regression analysis. The data that were used in this study were secondary data, consisted of Interest Rate, World Oil Price, and World Gold Price to Joint Stock Price Index for the year 2000-2019. The results of this research, that Based on the partial test (t test), the Interest Rate variable has no significant effect while the World Oil Price and World Gold Price have a significant effect on the variables of the Joint Stock Price Index in Indonesia, the simultan test (F test), Interest Rate, World Oil Price and World Gold Price have a significant effect on the variables of the Joint Stock Price Index. The inflation are unable to moderate the relationship between interest rate, world oil price and world gold price on the joint stock price index.

The Effect of World Gold Price, World Oil Price, USD/IDR Exchange Rate, and Inflation on the Joint Stock Price Index (JCI) On the Indonesia Stock Exchange (IDX)

This study's purpose is to analyze the impact of world oil prices, world gold prices, inflation, and USD/IDR exchange rates on the Composite Stock Price Index (IHSG) on the Indonesia Stock Exchange (IDX). Secondary data was obtained from the London Financial Market Association (LBMA), Bank Indonesia, and investing.com. The variables used in this study are world oil prices, world gold prices, USD/IDR exchange rates, and inflation as independent variables—also, the Composite Stock Price Index (CSPI) as the dependent variable. This study was conducted using secondary data per month in 2015-2019, non-participant observation with a saturated sampling method of 60 months. The analysis used in this research is Least Square and Autoregressive Moving Average (LS&ARMA) regression analysis. Simultaneous research results show that world oil prices, gold prices, USD/IDR exchange rates, and inflation significantly affect the Composite Stock Price Index (JCI). The study results partially show that world gold prices and inflation have an important adverse effect on the JCI, while world oil prices significantly positively impact the JCI. It is different from the USD/IDR exchange rate, which does not influence the JCI. The practical conclusion of this research is to afford information to investors that world gold prices, world oil prices, and inflation should be considered in making investment decisions in the capital market.

The Influence of Covid-19 Daily Cases, World Oil Prices, World Gold Prices And Rupiah Exchange Rates

This study aims to clarify the effect of the daily number of reported cases of Covid-19, World Oil Prices, World Gold Prices, and the rupiah exchange rate on the movement of the Composite Stock Price Index during the Covid-19 Pandemic, both in the short and long-term. Analysis of the data used is the analysis of Error Correction Mechanism using Eviews software. The data collected is daily time series data from March 2, 2020 to July 30, 2021, so the number of samples collected is 341 samples. The results of the study stated that the increase of daily reported Covid-19 cases had a negative impact on the movement of the Composite Stock Price Index in the short term, however, in the long-term, the increase of daily reported cases of Covid-19 has no effect on the Composite Stock Price Index. Meanwhile, World Oil Prices have a significant positive effect on the Composite Stock Price Index both in the short term and in the long-term. This study did not find any short-term or long-term effect between the World Gold Price on the movement of the Composite Stock Price Index. A significant negative effect was found, both in the short term and in the long-term, in the relationship between the Rupiah Exchange Rate on the movement of the Composite Stock Price Index.

Analysis Of The Effect Of The Rupiah Exchange, World Oil Price, World Gold Price On The Joint Stock Price Index In The Indonesia Stock Exchange

Stock price fluctuations that could be traded on the stock exchange can be seen from JCI Indonesia so that we can know whether the market is bullish (strong) or bearish (weak). All in result by 2 factors, internal factors and eksternal. Many theory of past research revealed that the composite stock price index is influenced by several factors. Three factors including the value of the rupiah, world gold prices, and world oil prices. Because other than gold commodity rupiah exchange rate and the oil will affect the movement of stock indices on the StockExchange. The study population was the entire data rupiah exchange rate, oil prices and gold prices on the world in 2011-2014 and since such data exist today (historical price). This study uses statistical analisisis, Multiple linear regression, and the F test and T and test (coefficient of determination (R2)), Normality Test, Test Heteroskidastity. Based on hypothesis testing shows that world oil prices and world gold prices have a negative effect and no significant effect on the JCI while the rupiah / US $has a positive and significant impact on JCI.

РОЗСИПНЕ ЗОЛОТО ПІВДНЯ УКРАЇНИ – СУЧАСНІ УЯВЛЕННЯ ТА ПЕРСПЕКТИВИ

The consistently high level of world gold prices against the background of depletion of reserves with easily extracted metal, lead to the need to introduce the industrial development of deposits with low-tech ores and sands. This requires improving the methodology of exploration and the use of efficient technologies for the enrichment and extraction of gold. The article is devoted to an important problem - the question of the real potential of placer gold in the south of Ukraine and its practical significance. An attempt is made on the basis of the analysis of the accumulated geological information to assess the quality of previously obtained results on loose gold of Ukraine. According to geological data, numerous manifestations of loose gold of various scales associated with sedimentary strata of Meso-Cenozoic sediments are widespread on the territory. It is noted that the geological study of placers in Ukraine was suspended during the lowest world gold prices - in the late 90's of last century - as a result of which many promising areas were left out. The authors refute the assertion that gold deposits on the Ukrainian Shield and in the Northern Black Sea Coast are of no industrial importance due to their low gold content. The negative assessment of placer gold content is due to the shortcomings of the methodology and test methods that were used in the work. The previously used exploratory model of "classic" gold placers does not correspond to the real properties of gold-bearing deposits in the sedimentary stratum. The predominant mass of gold of indigenous springs and placers of Ukraine belongs to small and thin classes of particle size distribution, and gold-bearing deposits have high clay content. In this regard, the deposition of gold occurred, as a rule, not in the subglacial part of the section of river valleys, but in the so-called "oblique" facies, which were almost not studied previously. The test used a mining method of gold extraction, which is not suitable for reliable determination of the gold content of small and fine grades. This led to a systematic underestimation of the gold content in the studied manifestations, as well as a significant reduction in the size of gold deposits. Therefore, a reassessment of previously obtained geological data is needed to determine the objective characteristics of the distribution and actual gold content in placers. Suggestions for further study of placers are given. Modern approaches to forecasting, studying and testing placers are considered, in particular, the use of data from remote sensing of the Earth, GIS-technologies and methods of neotectonic analysis for forecasting and searching for placers. The need to use separate determination of gold content depending on the particle size is emphasized.

PEMODELAN HARGA EMAS DUNIA MENGGUNAKAN METODE NONPARAMETRIK POLINOMIAL LOKAL DILENGKAPI GUI R

Investing in gold is a flexible choice because it can be sold at any time and used as an emergency fund. Investors should have the knowledge to predict data from time to time to achieve investment goals. One of the statistical methods for time series data modeling is ARIMA. The ARIMA model is strict with the assumptions that the data must be stationary, the residuals must be normally distributed, independent, and with constant variance, so an alternative model is proposed, namely nonparametric regression model, which has no modeling assumptions requirement. In this study, the daily world gold price data will be modeled using a local polynomial nonparametric model as an alternative because the assumptions in the ARIMA are not fulfilled. The data is divided into 2 parts, namely in sample data from January 2, 2020 to November 30, 2020 to form a model and out sample data from December 1, 2020 to December 31, 2020 used for evauation of model performance based on MAPE values. The chosen best model is the local polynomial model with Gaussian kernel function of degree 5, bandwidth of 373, and local point of 1744 with an MSE value of 482.6420. The local polynomial model out sample data MAPE value is 0.61%, indicating that the model has excellent forecasting capability. In this study, Graphical User Interface (GUI) using R software with the help of shiny package is also built, making data analyzing easier and generating more interactive display output.

The Effect of Macroeconomic Factors on the Stock Price Index of Developing Countries and Developed Countries in Asia 2001-2020

This study aims to determine whether macroeconomic factors influence stock price indexes in developed countries and developing countries in the Asian region during 2001-2020. Macroeconomic factors are world oil prices, world gold prices, interest rates, exchange rates against the USD, and gross domestic product (GDP). The countries that are the object of research are Indonesia, Japan, China, Hong Kong, and India. This research uses the panel data regression method. Based on the model estimation test, oil prices, gold prices, exchange rates, and GDP positively and significantly affect stock price indices in both developed and developing countries. On the other hand. The interest rate has a negative and significant influence on the stock price index of developing and developed countries.

The Effect Of Additive Covid19 Positive Cases And World Gold Prices On The Joint Share Price Index In Indonesia Stock Exchange Period July 2020 - December 2020

This research was conducted on the price of the Composite Stock Price Index in the Indonesia Stock Exchange. In this study using a purposive sample method as a sampling method. The samples used were world gold prices, additional positive cases of Covid19, and IHSG from July 2020 to December 2020 so that 121 observational data were obtained. In testing the hypothesis in this study, it was carried out in five ways, namely the classical assumption test, multiple linear regression analysis, partial test (t test), simultaneous test (f test), and the coefficient of determination test. From the results of the eviews test, it was found that the addition of positive cases of covid19 and world gold prices affected the JCI both partially and simultaneously with an R square value of 0.416189 or 41.6189%.

The Formulation of a Dynamic Portfolio between Gold and Stocks on the Indonesia Stock Exchange during the COVID-19 Pandemic

COVID-19 pandemic made investor to be careful to choose the portfolio instrument. A portfolio that is formed by the right instrument certainly can minimize risks and maximize the return. This research analyzes the dynamic portfolio formed by gold and leading stocks in COVID-19 period, which is better than the the portfolio formed by stocks alone. The data used is secondary data, which is the LQ-45 index daily closing price data and world gold prices. This research also uses risk free rate data taken from bi.go.id. The analysis technique in this research is DCC-GARCH. Findings. This research concludes that stock portfolios with gold showing a good performance result with variability-based measurement.

Pengaruh Variabel Makroekonomi Terhadap Return Saham Sektor Keuangan di Indonesia

The purpose of this study was to determine the effect of macroeconomic variables on stock returns in the financial sector in Indonesia. The indicators of macroeconomic variables studied were world gold price, exchange rates, inflation, an economic growth. This study uses secondary time series data from 2005 first quarter to fourth quarter 2019. The research data analysis method used is multiple linear regression analysis and Error Correction Model (ECM). The result oh this study indicate that : (1) the world gold price has a negative effect on the stock return of the financial sector in Indonesia; (2) the exchange rate has a negative effect on the stock return of the finacial sector in Indonesia; (3) inflation has a negative effect on stock return for the financial sector in Indonesia; (4) economic growth has a negative effect on the stock return of the finacial sector in Indonesia.

Risk Analysis of Gold Sale Price and Investment of Antam Shares Using Expected Shortfall in Pandemic Covid-19

The Covid-19 pandemic caused the price of gold produced by PT Aneka Tambang (Antam) to experience a high increase following the world gold price, while stock investment decreased. Measuring risk is significant in financial analysis; this is related to investment funds, which are quite large and narrow about public funds. This study analyzes the risk data on Antam gold price and Antam stock closing price with an estimated Shortfall (ES). The method used to measure the risk of investing in stocks is ES. ES is the expectation of a conditional loss that exceeds Value at Risk (VaR). To compute ES data showing deviations from normality and Cornish-Fisher expansion. The volatility measurement model used is the autoregressive conditional heteroskedasticity (ARCH) and generalized ARCH (GARCH) model.This study found that the ES value of Antam gold price was smaller than Antam stock price.

PENGARUH HARGA EMAS DUNIA, NILAI TUKAR, INFLASI DAN PERTUMBUHAN EKONOMI TERHADAP RETURN SAHAM SEKTOR KEUANGAN DI INDONESIA

The purpose of this study was to determine and analyze the effect of world gold prices, exchange rates, inflation and economic growth on stock returns in the financial sector in Indonesia. This study uses secondary data in the form of time series from 2005: Q1 to 2019: Q4. The data analysis method used in this research is Multiple Linear Regression analysis. The results of this study found that: Simultaneously, world gold prices, exchange rates, inflation and economic growth have a significant effect on stock returns in the financial sector in Indonesia. While partially obtained: (1) world gold price has no significant effect on stock returns in the financial sector in Indonesia, (2) Exchange rates have a significant negative effect on stock returns in the financial sector in Indonesia; (3) Inflation has a significant negative effect on stock returns in the financial sector in Indonesia; (4) Economic growth has a significant negative effect on stock returns in the financial sector in Indonesia.

The Influence of the World Gold Price, the Dow Jones Islamic Market, and the Composite Stock Price Index on the Jakarta Islamic Index for the 2014 - 2018 period

This study aims to determine how much influence the variables of the World Gold Price and Stock Prices with proxies: Dow Jones Islamic Market (DJIM) stock prices, and the Composite Stock Price Index (IHSG), on the Jakarta Islamic Index (JII). This study uses a quantitative approach, namely data that is measured in a numerical scale, based on the 2014-2018 Time Series data relating to variables sourced from the Central Statistics Agency, the Indonesia Stock Exchange and the Directorate General of Oil and Gas. This research uses one of the SPSS Series. The variables in this study consist of World Gold Price (X1), Dow Jones Islamic Market (DJIM) (X2), Composite Stock Price Index (IHSG) (X3) against the Jakarta Islamic Index (JII) (Y). The purpose of this research is to know each variable partially or simultaneously from the variable World Gold Price, Dow Jones Islamic Market and the Jakarta Islamic Index. Research Output expected by an Accredited journal

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

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.

ANALISIS MAKRO EKONOMI,HARGA KOMODITAS,KINERJA PASAR MODAL AMERIKA DAN PENGARUHNYA TERHADAP PASAR MODAL INDONESIA ( PERIODE: MARET-JULI 2020 )

This study aims to determine Macroeconomics, Community Prices, the performance of the American Capital Market and their influence on the Performance of the Indonesian Capital Market for the period March-July 2020. The sample method used is non-probability sampling method, and the sampling technique used is saturated sampling. This study uses time series data and is analyzed using the classical assumption test. In addition, multiple linear hypothesis test was also used, simultaneous F test, partial t test and determination coefficient test.
 From the results of the study it was found that simultaneously Macroeconomics was represented by the exchange rate, Community Prices were represented by world gold prices, the performance of the American Capital Market represented by the Dow Jones Index affected the Indonesian Capital Market represented by the IHSG in the March-July 2020 period. Partially, only the Dow Jones Index affects the Composite Stock Price Index, while the rupiah / dollar exchange rate and the world gold price have no effect on the Composite Stock Price Index (JCI) during the observation period from March to July 2020.
 It can be concluded that the decline in capital market performance in developed countries also affects the Indonesian capital market. The decline in the JCI was not due to the depreciation of the Rupiah, the increase in the price of gold but was caused by negative sentiment that continued to suppress economic performance globally as a result of investor panic due to the Covid 19 pandemic continuing to spread and there was no vaccine to overcome it.

ANALYSIS OF THE INFLUENCE OF INTEREST RATE, EXCHANGE VALUE, WORLD GOLD PRICES, DOW JONES INDEX, AEX INDEX, DAX INDEX, AND SHANGHAI INDEX ON LQ45 INDEX IN INDONESIA STOCK EXCHANGE 2012 – 2018

<p><em>This research aims to find out the influence of interest rate, exchange rate, world gold price, Dow Jones Index, AEX Index, DAX Index, and Shanghai Index on the LQ45 Index at the Indonesia Stock Exchange from 2012 through 2018 using the ARCH/GARCH model as the method of analysis. The result of the test shows that the exchange rate had a significant negative influence, Dow Jones Index, AEX Index, and DAX Index had a significant positive influence on the LQ45 index, while the interest rate and world gold price had a non-significant negative influence and the Shanghai Index had a non-significant positive influence on the LQ45 index.</em></p>

The impact of COVID-19 crisis on return and volatility spillovers between the Vietnam stock market and world gold price

The impact of COVID-19 crisis on return and volatility spillovers between the Vietnam stock market and world gold price

Peculiarities of search for placer deposits of gold of the south of Ukraine

The long-term high level of world gold prices against the background of depletion of reserves with easily extracted metal leads to the search for and introduction into industrial development of deposits, even with low-tech ores and sands. This, in turn, requires the introduction of effective technologies for the enrichment and extraction of gold, contributes to the improvement of methods of exploration. At present, numerous manifestations of placer gold of various scales are known in the sedimentary strata of Meso-Cenozoic deposits in the south of Ukraine. But the real picture of the distribution and the actual scale of gold deposits in Ukraine are uncompleted and unreliable. This is due to the inconsistency of the applied search technique, which was aimed at identifying near-subglacial valley deposits, to the actual properties of gold-bearing formations. Gold in most Ukrainian placers is represented mainly by small, fine and dispersed particles in a significantly clay substrate. Therefore, the traditional geological samples washing by tray led to excessive losses of fine gold and to a significant underestimation of the gold potential. That is why we need to revise the results of previously obtained geological data. Detection of placer gold deposits of Ukraine is possible under the condition of increasing the efficiency of the local forecast and the reliability of field research. The most favorable situations for the accumulation of a useful component are structural denudation traps in tectonic depressive zones. The technology of sample enrichment must correspond to the actual properties of specific raw materials in the placer object. The types of technological equipment are given and some ways of increase of efficiency and reliability of test are offered. The article continues the series of publications devoted to solving the problems of studying placer gold content with a dominant share of fine and dispersed gold in sedimentary formations of the south of Ukraine.

The Influence of Macroeconomic Variables on The Indonesian Sharia Stock Index (ISSI) for The 2013-2019 Period

Investors believe that economic factors have a major impact on developments in the Islamic capital market. This study aims to describe and analyze macroeconomics of the Indonesian Sharia Stock Index (ISSI). The sample of this study consisted of 84 data consisting of all population data, namely all data on closing prices at the end of each month from exchange rates, BI Rate, inflation, world oil prices, world gold prices, and the Indonesian Sharia Stock Index (ISSI) for the period January 2013 - December. 2019. The analysis technique used is the Error Correction Model (ECM). The results showed that in the short term the exchange rate variable had a significant effect on the ISSI, while the BI Rate, inflation, world oil prices and world gold prices had no effect on the ISSI. In the long run, the variable exchange rate, BI Rate, inflation and world gold prices have a significant effect on the ISSI, while the world oil price variable has no effect on the ISSI

Analisis Pengaruh Indikator Makroekonomi Terhadap Indeks Harga Saham Syariah di Indonesia Tahun 2011-2020

This study aims to analyze macroeconomic variables such as inflation, BI rate, exchange rate, Money Supply, World Gold Prices, Deposit Interest Rates, Sharia Deposit Yields, Industrial Production Index to the Sharia Stock Price Index. Where the Sharia Stock Price Index used is the Indonesian Sharia Stock Index (ISSI) and the Jakarta Islamic Index (JII). This study uses time series data or secondary data from May 2011 to February 2020. The analysis technique used in this study is ECM (Error Correction Model). The results showed that in the long run, the exchange rate and gold price had a negative effect on the ISSI and JUB had a positive effect on the ISSI. In the short term only the exchange rate variable has a negative effect on the ISSI. While the research results for JII show that in the long run Indonesian bank interest rates, exchange rates, and gold prices have a negative effect on JII. Meanwhile, the variable money supply and deposit interest rates have a positive effect on JII. In the short term, the influencing variables are the Indonesian bank interest rate, the exchange rate and the gold price have a negative effect on JII.