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This study examines the determinants of the Jakarta Composite Index (JCI) based on three main macroeconomic factors namely inflation, the USD/IDR exchange rate, and the SBI interest rate (BI Rate) covering the period January 2020 to December 2025, in the context of post-COVID-19 pandemic recovery and global economic turmoil. A quantitative approach was employed using the Ordinary Least Squares (OLS) method, with 72 monthly observations derived from secondary data sourced from official institutions including Bank Indonesia (BI), the Central Statistics Agency (BPS), the Indonesia Stock Exchange (IDX), and the Financial Services Authority (OJK). Classical assumption tests were applied comprising the Jarque-Bera normality test, Variance Inflation Factor (VIF) for multicollinearity, Breusch-Godfrey for autocorrelation, White Test for heteroscedasticity, and Ramsey RESET for model specification. Partially, inflation, exchange rate, and BI Rate each demonstrate a positive and significant effect on the JCI (p < 0.05). Simultaneously, all three variables exert a significant combined influence on the JCI, with a coefficient of determination R² = 0.4414, indicating that the model explains 44.14% of the variation in the JCI. The remaining 55.86% is attributed to other variables outside the model. Classical assumption test results reveal violations of normality, autocorrelation, and heteroscedasticity assumptions, although the model is free from multicollinearity. These findings confirm that Bank Indonesia's monetary policy has a significant and measurable impact on capital market performance. Further research is recommended using more advanced time series models such as GARCH or VECM to address violations of classical assumptions and improve estimation efficiency.

This study aims to analyze the influence of macroeconomic variables in the form of the dollar exchange rate, inflation, and Gross Domestic Product (GDP) on the Composite Stock Price Index (JCI) in Indonesia for the period 2010–2024. The research method used is a quantitative approach with multiple linear regression analysis using time series data obtained from Bank Indonesia, the Central Statistics Agency (BPS), and the Indonesia Stock Exchange (IDX). The data analysis technique was carried out through classical assumption tests and hypothesis testing to determine the relationship between variables. The results of the study show that partially GDP has a significant effect on the JCI, while inflation and the dollar exchange rate tend not to have a significant effect. However, simultaneously these three variables have a significant influence on the JCI. These findings show that macroeconomic stability is very important in maintaining the performance of the capital market in Indonesia and can be a reference for investors in making investment decisions. In addition, the results of the study confirm that national economic growth is the main indicator that market participants pay attention to in assessing investment prospects. Therefore, the government needs to maintain economic stability through effective and sustainable fiscal and monetary policies.

This study aims to analyze the reaction of the Indonesian capital market to the establishment of the Danantara Investment Management Agency (BPI) as a new financial institution formed by the government in 2025. Using a quantitative approach through the event study method, this study measures the abnormal return of the Composite Stock Price Index (JCI) around the date of the announcement of Danantara's establishment, namely in the observation period from January 31 to April 17, 2025. The analysis results show that the market reacted significantly negatively on the day of the announcement (t₀) with an abnormal return of -0.78 percent and a p-value of 0.05, while on other days around the event, no significant reaction was found. This indicates that the market responds quickly to public information, but the impact is temporary. In the long term, the cumulative abnormal return (CAR) shows a significant negative trend, reflecting market pressure and investor caution regarding Danantara's existence. These findings are in line with the semi-strong form of market efficiency theory and show that investor confidence is highly dependent on the transparency and governance of state financial institutions. Overall, the results of this study confirm that the establishment of Danantara has not had a sustainable positive impact on the Indonesian capital market.

This study aims to analyze the effect of profitability, leverage, and dividend policy on firm value in the energy sector listed on the Indonesia Stock Exchange (IDX) for the 2021–2024 period. The energy sector was selected due to its strategic role in the national economy and its contribution to the Composite Stock Price Index (IHSG). Out of 81 energy sector firms, 22 firms were obtained as samples using a purposive sampling method. Data analysis was conducted using the path analysis technique. The results show that profitability has a significant effect on firm value, while leverage has no effect. Dividend policy also has no effect on firm value, whereas profitability has no effect on dividend policy, and leverage has a significant negative effect on dividend policy. Furthermore, dividend policy is unable to mediate the relationship between profitability and leverage with firm value. These findings imply that firm value is more influenced by profitability factors than by leverage or dividend policy. The results of this study are expected to serve as a reference for firm management, investors, and policymakers in making future financial decisions.

This study investigates the potential role of the Jakarta Islamic Index (JII) as a hedging instrument and safe haven asset against the Indonesia Composite Index (IHSG) during the period from January 2020 to April 2025, a time characterized by elevated market volatility. The main objective is to determine whether sharia-compliant stocks in Indonesia offer diversification benefits during periods of financial stress. Utilizing daily closing prices converted into log returns, the study employs the Asymmetric Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroskedasticity (A-DCC GARCH) model to capture time-varying correlations between JII and IHSG. Prior to applying the model, standard diagnostic tests were performed to ensure data quality, including tests for stationarity, autocorrelation, and ARCH effects.Empirical results reveal a persistently high correlation between IHSG and JII, with an average of 0.826 and values exceeding 0.95 during periods of market turbulence. These findings indicate that JII does not fulfill the characteristics of a hedge or safe haven asset. A robustness analysis using extended data from 2010 to mid-2025 further supports the conclusion, showing the continued presence of strong comovement between the two indices across different market regimes. This suggests a structural relationship rather than one driven solely by crisis events. The high correlation may be attributed to overlapping index constituents and similar investor responses to market shocks. These results challenge the prevailing notion that Islamic indices inherently offer protection during downturns. As such, investors seeking to mitigate portfolio risk may need to look beyond domestic sharia equities and consider broader asset classes or international diversification. Future research is encouraged to explore cross-market and multi-asset safe haven properties, especially in the context of emerging economies.

This research explores how several monetary policy and commodities market influence the movement of the Indonesia Composite Index (IHSG). Monetary policy is a set of actions taken by the central bank to regulate the currency and the economy, variable proxy is Rupiah Exchange Rate (Jisdor) and Indonesia Overnight Index Average (indONIA). Commodity markets are places where commodities are traded in physical or futures, the needs of the world still depend on certain commodities so that commodity prices can be related to economic conditions, variable proxy of comodities market is Gold, Crude Oil WTI, Coal Newcastle. Indonesia Composite Index is a index that reflects the price movements of all stocks listed on the Indonesia Stock Exchange. The study analyzes monthly data from January 2019 to December 2023, a period before the global disruption of the COVID-19 pandemic, the period during the pandemic and the gradual economic rebound that followed. Using multiple linear regression analysis, the study assesses the direction and statistical relevance of each variable’s effect on the Indonesia Composite Index. The results suggest that Indonesia Overnight Index Average and Crude Oil WTI prices have a significant positive impact on the index, the Rupiah Exchange Rate has a significant negative impact on the index, while Gold and Coal Newcastle have no significant impact on the index. These findings can serve as a useful reference for both investors and policymakers in understanding and anticipating movements in Indonesia’s capital market, especially in relation to monetary policy and global commodity trends.

This study aims to analyze the effect of BI Rate, Rupiah exchange rate, and accounting profit on the Composite Stock Price Index (IHSG) in Indonesia. As one of the main indicators in the capital market, IHSG reflects the overall stock market performance and is influenced by various macro and micro economic factors. BI Rate as the reference interest rate, Rupiah exchange rate as an indicator of currency exchange rate, and accounting profit as a measure of company performance have high relevance to the movement of IHSG. This study uses a literature review method by referring to various previous studies that discuss the relationship between these variables. The results of the analysis show that the three variables have a significant influence on IHSG, both directly and indirectly. BI Rate and Rupiah exchange rate affect IHSG through financial market mechanisms, while accounting profit is more related to investment decisions and individual company performance. These findings provide insight for investors, policy makers, and academics to understand the dynamics of the relationship between economic indicators and stock market performance in Indonesia.

This study is to examine how interest rates and inflation affect the movement of the Indonesia Stock Exchange's Composite Stock Price Index (IHSG) (BEI). An econometric technique was utilized to do regression analysis on monthly data spanning the years 2015-2017. The study's findings demonstrate how the interest rate variable and the composite stock price index (IHSG) are influenced by the inflation variable, represented as variable X1.

This study aims to find out how much expected return and optimal portfolio risk and the best model between the Markowitz model and the single index model in forming optimal portfolios in banking sub-sector companies for the 2018-2022 period. This type of research includes applied quantitative descriptive. The research data uses secondary data in the form of stock closing prices, JCI and monthly BIC interest rates. The survey population is 29 companies. Data analysis uses the Markowitz model and single index model. The results showed that the stocks that make up the optimal portfolio with the Markowitz model are 12 company stocks that provide an expected return of 1.41%, an absolute risk of 4.48%, and a relative risk of 318.96%. While the single index model consists of 10 company stocks that provide an expected return of 4.65%, an absolute risk of 10.21%, and a relative risk of 219.68%. The research results are expected to contribute to investors, that the single index model is better than the Markowitz model.

This research was conducted in Indonesia to analyze and understand the influence exerted by exchange rates and bank interest rates on the Indonesia Composite Index (IDX). The researcher used a causal method with a quantitative approach. The type of data used was secondary data obtained from the Bank Indonesia website. Data collection techniques included literature review and documentation. Data analysis techniques involved multiple linear regression tests, classical assumptions, and hypothesis testing. The research results indicate that exchange rates partially have a significant influence on IHSG, while bank interest rates do not have a significant impact on IDX. Simultaneously, both interest rates and exchange rates together significantly affect IDX in Indonesia. Meanwhile, interest rates and exchange rates have a very strong correlation with IDX, with a percentage of 84.98%, and the remaining 15.02% can be explained by other variables not examined. Suggestions can be made for investors to be more careful and thoroughly examine changes in bank interest rates, taking into consideration factors such as central government policies other than Bank Indonesia. This way, the interest rates set by banks, offering the highest interest rates, can be an alternative in decision-making.

This research was conducted to observe the effect of gold prices, world oil prices and palm oil prices as commodity prices on the movement of stock prices in Indonesia from 2019 to 2022. The research method used is a quantitative method, using secondary data. The analysis technique used is multiple linear regression analysis technique. The research data is in the form of time series data, namely monthly data from January 2019 to December 2022. The total data is 48 for each variable. The conclusion of this study is that the price of gold has no significant effect on the Jakarta Composite Index (IHSG). World oil prices have a significant effect on the Jakarta Composite Index (IHSG). The price of Palm Oil has a significant effect on the Jakarta Composite Index (IHSG). The results of this study are to prove that gold price movements cannot be used as an indication of stock prices on the Indonesia Stock Exchange (IDX). Movements in world oil prices and palm oil prices can indicate stock prices on the Indonesia Stock Exchange (IDX). The above conditions apply for the long term.

The fair market value of a mutual fund's securities and other assets less its liabilities (debt) is its net asset value, often referred to as net asset value (NAV). One of the benchmarks for assessing mutual fund performance is NAB. The aim of this research is to examine how ISSI, IHSG, and inflation will affect the Net Asset Value (NAB) of sharia stock mutual funds between 2018 and 2022. This research intends to show how ISSI, IHSG, and inflation affect Sharia Stock Mutual Funds. NAB performance on the Indonesian Stock Exchange. Explanatory research using quantitative methodology is this type of research. Multiple linear regression analysis, which has previously been evaluated using conventional assumptions, is the analysis technique used. The research results show that ISSI has a negative effect on the NAV Performance of Sharia Stock Mutual Funds, the Composite Stock Price Index has a positive effect, and Inflation has a positive effect on the NAV Performance of Sharia Stock Mutual Funds. The simultaneous influence of ISSI, IHSG, and inflation on the NAV performance of Sharia Equity Mutual Funds is quite large. To assume that all independent variables simultaneously or together have a significant influence on the Net Asset Value of Sharia Equity Mutual Funds at a confidence level of 95%, the F statistical value of 0.0000 is calculated which has a probability value of 5%.   Keywords: ISSI, IHSG, and Inflation affect Sharia Stock Mutual Funds

The joint stock price index (IHSG) as a benchmark for the progress of the capital market in Indonesia. The purpose of this study was to analyze the effect of Macro Variables on the Composite Stock Price Index (JCI) for the period 2010 to 2021. The macro variables used were Inflation, Economic Growth, Dollar Exchange Rate and SBI or 7 Day Repo Rate against the JCI. The number of years in the sample is 12 years, from 2010 to 2021. Multiple linear regression analysis, T test, F test, coefficient of determination test using SPSS Version 26 software. The conclusion is that gold price and Lq45 has  significant effect on the JCI, while the others macro variable, have no significant effect on the JCI. Simultaneously, all macro variables have a significant effect on the JCI.    

This article analyzes the movement of the Composite Stock Price Index (IHSG) in Indonesia during the Implementation of Restrictions on Community Activities (PPKM) in 2021. PPKM is a government regulation to deal with the Covid-19 pandemic. Before the implementation of PPKM, the government had implemented large-scale social restrictions implemented in several regions in Indonesia. The policy implemented by the government is considered to have an impact on the decline in people's purchasing power, which has just shown recovery and has an impact on several sectors of the stock market in Indonesia. It is necessary to analyze to determine the effect of implementing community activities on the joint-stock price index in 2021. This study uses an exploratory descriptive type of research. Observations were made by analyzing the composite stock price index (IHSG). Based on the results of the discussion that has been analyzed, it can be concluded that during the implementation of restrictions on community activities (PPKM) the IHSG value tends to experience a difference every month but shows a positive trend which closed at the level of 6,600.68, which was an increase of 10.4 percent compared to the 2020 closing position. which is at 5,979.07.

This research was conducted to see whether there was an abnormal return before and after the Jakarta PSBB announcement. The sample was selected using a purposive sampling technique from 30 stocks that are members of the Jakarta Islamic Index (JII) in the 2020 period. The data in this study used secondary data, opening, and closing prices, and Composite Stock Price Index (IHSG). This research is an event study using an event study with an observation period of eight days, four days before the announcement and after the day after the announcement of the Jakarta PSBB. Hypothesis testing uses the Wilcoxon signed ranking test. Based on the research results, there was no change in abnormal return before and after the announcement of the Jakarta PSBB announcement

The objective of this research is to empirically examine about the factors affecting the Composite Stock Index in Indonesia Stock Exchange. The factors are SBI Rate, World Oil Price, World Gold Price, and Exchange Rate of Indonesia Rupiah. The sample of this research is monthly data of the SBI Rate, World Oil Price, World Gold Price, Exchange Rate of Indonesia Rupiah, and Composite Stock Index from October, 2007 until September, 2012. This research uses multiple regression analysis.The result of this research shows that the SBI Rate negatively affect the composite stock indeks (IHSG), while the world oil price and world gold price positively affect the IHSG. But, the exchange rate of Indonesia rupiah is not affect the IHSG. The value of adjusted R square is 0.519%. This means that 51.90% IHSG movement can be predicted by the movement of the four independent variables. Keywords: sbi rate, world oil price, world gold price, exchange rate of indonesia rupiah, IHSG