{"title":"世界大宗商品价格对 2020-2023 年印度尼西亚证券交易所富时指数走势的影响","authors":"V. Hanitha, Tri Angreni, H. Hendra","doi":"10.32877/ef.v6i2.1411","DOIUrl":null,"url":null,"abstract":"This research aims to analyze the relationship between commodity prices (gold, gas, tin, silver, nickel, oil) and the FTSE Indonesia stock market index. This research uses secondary data for the research period from January 2020 to December 2023. The analytical method used in this research is the multiple linear regression analysis method. Linear regression analysis is used to test the influence of commodity prices on changes in the value of FTSE Indonesia. The results of this research show that the gas, tin, silver and nickel index variables have a negative effect on the FTSE Index. The Oil, Nike, Gas and Tin variables have a positive influence while the Gold and Silver variables do not have a negative influence, indicating that they do not have a significant influence on the FTSE Index. The results of the analysis show that the overall regression model has a significant fit to the data, with an R-squared value of 75.58% of the variation in FTSE Indonesia can be explained by the commodity price variables included in the model. The rest are factors outside the commodity variable. In addition, the significant F-statistic (21.15427) with a low p-value 0.00 indicates that the overall regression model is very significant. These findings show that commodity prices, including gold, gas, tin, silver, nickel and oil, together have a significant influence on the movement of FTSE Indonesia. The implications of this research can help investors and decision makers to understand the dynamics of stock and commodity markets, as well as estimate the impact of changes in commodity prices on stock market performance in Indonesia.","PeriodicalId":488114,"journal":{"name":"eCo-Fin","volume":"112 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effect of World Commodity Prices on the Movement of the FTSE Index on The Indonesia Stock Exchange 2020-2023\",\"authors\":\"V. Hanitha, Tri Angreni, H. Hendra\",\"doi\":\"10.32877/ef.v6i2.1411\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research aims to analyze the relationship between commodity prices (gold, gas, tin, silver, nickel, oil) and the FTSE Indonesia stock market index. This research uses secondary data for the research period from January 2020 to December 2023. The analytical method used in this research is the multiple linear regression analysis method. Linear regression analysis is used to test the influence of commodity prices on changes in the value of FTSE Indonesia. The results of this research show that the gas, tin, silver and nickel index variables have a negative effect on the FTSE Index. The Oil, Nike, Gas and Tin variables have a positive influence while the Gold and Silver variables do not have a negative influence, indicating that they do not have a significant influence on the FTSE Index. The results of the analysis show that the overall regression model has a significant fit to the data, with an R-squared value of 75.58% of the variation in FTSE Indonesia can be explained by the commodity price variables included in the model. The rest are factors outside the commodity variable. In addition, the significant F-statistic (21.15427) with a low p-value 0.00 indicates that the overall regression model is very significant. These findings show that commodity prices, including gold, gas, tin, silver, nickel and oil, together have a significant influence on the movement of FTSE Indonesia. The implications of this research can help investors and decision makers to understand the dynamics of stock and commodity markets, as well as estimate the impact of changes in commodity prices on stock market performance in Indonesia.\",\"PeriodicalId\":488114,\"journal\":{\"name\":\"eCo-Fin\",\"volume\":\"112 12\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"eCo-Fin\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.32877/ef.v6i2.1411\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"eCo-Fin","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.32877/ef.v6i2.1411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本研究旨在分析大宗商品(黄金、天然气、锡、银、镍、石油)价格与富时印尼股市指数之间的关系。本研究使用的是 2020 年 1 月至 2023 年 12 月期间的二手数据。本研究采用的分析方法是多元线性回归分析法。线性回归分析用于检验商品价格对印尼富时指数价值变化的影响。本研究结果显示,天然气、锡、银和镍指数变量对富时指数有负面影响。石油、耐克、天然气和锡变量具有正向影响,而黄金和白银变量没有负向影响,表明它们对富时指数没有显著影响。分析结果表明,整体回归模型与数据的拟合度很高,模型中包含的商品价格变量可以解释 75.58% 的印尼富时指数变化,R 平方值为 75.58%。其余为商品变量之外的因素。此外,显著的 F 统计量(21.15427)和较低的 P 值 0.00 表明整个回归模型非常显著。这些研究结果表明,包括黄金、天然气、锡、银、镍和石油在内的大宗商品价格共同对印尼富时指数的走势产生了重大影响。本研究的意义有助于投资者和决策者了解股票市场和商品市场的动态,并估计商品价格变化对印尼股票市场表现的影响。
Effect of World Commodity Prices on the Movement of the FTSE Index on The Indonesia Stock Exchange 2020-2023
This research aims to analyze the relationship between commodity prices (gold, gas, tin, silver, nickel, oil) and the FTSE Indonesia stock market index. This research uses secondary data for the research period from January 2020 to December 2023. The analytical method used in this research is the multiple linear regression analysis method. Linear regression analysis is used to test the influence of commodity prices on changes in the value of FTSE Indonesia. The results of this research show that the gas, tin, silver and nickel index variables have a negative effect on the FTSE Index. The Oil, Nike, Gas and Tin variables have a positive influence while the Gold and Silver variables do not have a negative influence, indicating that they do not have a significant influence on the FTSE Index. The results of the analysis show that the overall regression model has a significant fit to the data, with an R-squared value of 75.58% of the variation in FTSE Indonesia can be explained by the commodity price variables included in the model. The rest are factors outside the commodity variable. In addition, the significant F-statistic (21.15427) with a low p-value 0.00 indicates that the overall regression model is very significant. These findings show that commodity prices, including gold, gas, tin, silver, nickel and oil, together have a significant influence on the movement of FTSE Indonesia. The implications of this research can help investors and decision makers to understand the dynamics of stock and commodity markets, as well as estimate the impact of changes in commodity prices on stock market performance in Indonesia.