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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 the money supply (M2), the BI Rate, and the COVID-19 pandemic on the demand for bank credit in Indonesia. Credit demand is an important indicator in describing economic activity and financial system stability. This study uses monthly secondary data from January 2017 to December 2023. The analysis method used is Ordinary Least Squares (OLS), which allows for quantitative estimation of the linear relationship between the independent and dependent variables. The results show that the money supply (M2) has a positive and significant effect on credit demand. This suggests that increased liquidity in the economy encourages increased lending activity by the household and corporate sectors. Conversely, the BI Rate shows a negative and significant effect on credit demand, indicating that an increase in the benchmark interest rate has reduced public interest in accessing financing through banks. This finding is in line with conventional monetary theory, which states that interest rates play a crucial role in controlling aggregate demand, including credit demand. The dummy variable for the COVID-19 pandemic shows a negative but insignificant effect on credit demand. This implies that although the pandemic has had a broad social and economic impact, its impact on credit demand is relatively small when monetary variables such as M2 and the BI Rate are taken into account. Overall, the research findings confirm that monetary policy instruments, particularly controlling the money supply and interest rates, play a significant role in influencing the dynamics of credit demand in Indonesia. Meanwhile, external shocks such as the pandemic tend to be more effectively responded to through medium- and long-term fiscal and structural policies.

Profitability, measured by Return on Asset (ROA), is a key indicator for assessing the performance and resilience of the banking sector. During the 2019–2023 period, the Indonesian banking sector faced significant pressure from the COVID-19 pandemic, which impacted asset quality and financial performance. This study aims to analyze the simultaneous and partial effects of Non-Performing Loan (NPL), the BI Rate, inflation, Net Interest Margin (NIM), and Capital Adequacy Ratio (CAR) on the ROA of commercial banks in Indonesia. This research employs a quantitative approach using monthly secondary data from 2019 to 2023. The analysis was conducted using Robust Least Squares (RLS) with M-estimation, a Wald test for simultaneous significance, and a z-statistic for partial tests. The results indicate that, simultaneously, the five independent variables have a significant effect on ROA with a significance value of 0,000 and a coefficient of determination of 67,1 percent. Partially, NPL has a significant negative effect on ROA, while NIM, CAR, and inflation have significant positive effects. The BI Rate shows no significant influence. The implications of these findings highlight the managerial importance of strengthening credit risk management to control NPL, enhancing intermediation efficiency to maintain a healthy NIM, and preserving capital adequacy. From a policy perspective, these results justify the continued strengthening of prudential supervision over banks' internal ratios by financial authorities. Furthermore, the insignificance of the BI Rate suggests that the monetary policy transmission to bank profitability is indirect, necessitating a focus on internal factors to maintain the stability of the banking sector.

The purpose of this research is to examine the variables that affect stock prices in the commerce and service and consumer products industries that are listed on the Indonesia Stock Exchange.  This research study is quantitative in nature.  The information was taken from annual and financial reports that were posted on the websites of the individual companies as well as the Indonesia Stock Exchange's official website (www.idx.co.id).  The population consists of all 137 consumer products, commerce, and service businesses that were listed on the Indonesia Stock Exchange between 2009 and 2013.  Seventy-seven businesses satisfied the sample requirements based on preset criteria.  Multiple linear regression analysis was used to examine the data.  The findings demonstrate that the three sets of variables—systematic risk, macroeconomic indicators, and firm fundamentals—all significantly and favorably affect stock prices at the same time.  Stock prices are positively and significantly impacted by the following factors, in part: Return on Equity (ROE), Earnings per Share (EPS), Book Value (BV), Net Profit Margin (NPM), and inflation.  In contrast, the market beta, GDP, exchange rate, and BI rate have no discernible effects, but the debt to equity ratio (DER) has a negative and substantial influence.  With an Adjusted R Square value of 62.4%, the study's independent variables may account for a significant portion of stock price fluctuations, with additional factors outside the model influencing the remaining 37.6%.

The aim of this research is to analyze the influence of the exchange rate and BI rate on deposits. The population in this study is all exchange rate data, BI rate and deposits from commercial banks in Indonesia. Sampling was taken by taking monthly data from the exchange rate, BI rate and deposits available from January 2014 to December 2023. The results of hypothesis testing show that hypothesis 1 (H1) that the exchange rate has a negative effect on deposits is proven and can be interpreted as meaning that an increase in the exchange rate will reduce amount of deposits at commercial banks in Indonesia. Hypothesis 2 (H2) that the BI rate has a positive effect on deposits is proven and can be interpreted to mean that an increase in the BI rate will increase the number of deposits at commercial banks in Indonesia.

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 aims to determine the effect of Economic Growth Rate, BI Rate , Inflation, Exchange Rate and Oil Price on Bond Yields, especially Government Bonds of the Republic of Indonesia for the period 2010-2023. The method used is a quantitative method with econometric analysis of Error Correction Model (ECM) regression. The data used in this study were obtained from statistical reports on the website of the Financial Services Authority of the Republic of Indonesia (OJK-RI), Bank Indonesia, the Central Statistics Agency and several related agencies. The results of the study indicate that economic growth and oil prices are negatively correlated but do not significantly affect bond yields in the long run. The variables of BI Rate and Exchange Rate are positively correlated and significantly affect bond yields. The variable of Inflation is positively correlated but does not significantly affect Bond Yields. While for the short term, partially the variables of BI Rate and Exchange Rate are positively correlated and significantly affect Bond Yields. The variables of inflation and oil price are positively correlated but do not significantly affect bond yields. The Economic Growth Rate variable is negatively correlated but does not have a significant effect on bond yields. Together, the independent variables consisting of Economic Growth Rate, BI Rate, Inflation, Exchange Rate, and Oil Prices have an effect on bond yields, both in the long term and the short term.

This study aims to describe the influence of money in circulation and the BI Rate on inflation in Indonesia from January 2021 to June 2023. This research is a literature study that departs from quantitative methods using secondary data obtained at the Central Statistics Agency (BPS). This research uses a multiple linear regression approach using SPSS data processing tools. The results of the F test show that simultaneously, the variable money in circulation and the BI rate have a significant effect on inflation in Indonesia. Partially, both also have a significant influence on inflation. The findings of this research underline the importance of continuing to create various policies to overcome the inflation problem in Indonesia.

The purpose of this research is to analyze the effect of exchange rate, deposit and bi rate on profitability with credit as a mediating variable. The population in this study is all monthly data from the exchange rate, BI rate, deposits, credit and profitability (ROA) of conventional commercial banks in Indonesia. The sampling method is purposive sampling with the criteria used being the closest (up to date) period by taking available data from January 2011 to December 2021. The results of hypothesis testing show that hypothesis 1 (H1) that the exchange rate has a negative effect on credit is not proven and cannot be interpreted. Hypothesis 2 (H2) that deposits have a positive effect on credit is proven and can be interpreted that an increase in the amount of deposits will increase the amount of credit. Hypothesis 3 (H3) that the BI rate has a negative effect on credit is proven and can be interpreted that an increase will reduce the amount of credit. Hypothesis 5 (H5) that the exchange rate has a negative effect on profitability is proven and can be interpreted that an increase in the exchange rate will reduce ROA. Hypothesis 6 (H6) that the BI rate has a negative effect on ROA is not proven and cannot be interpreted. The hypothesis (H7) that exchange rates have an effect on ROA with credit as a mediating variable is not proven. Because the results of the hypothesis testing are not significant, there is no mediating effect. The hypothesis (H8) that the BI rate has an effect on ROA with credit as a mediating variable is proven, resulting in a mediating effect and it can be interpreted that an increase in the BI rate will decrease ROA.

This study aims to analyze the contributions of the variable interactions of monetary policy in the stability of goods and services prices. Where is the monetary  policy variable (inflation, kurs, consumer price index, gross domestic products, the money supply, and interest rates). Research in conducted in the country of Indonesia and uses secondary data or time series from 2008 to 2021. The data analysis model in this study is Simultaneous Model. Simultaneous equations to analyze the relation between independent and variable variables found in the research country. Simultaneous analysis of equations on statistical test common equation 1 suggests that variable interest rates, money distribution, exchange rates and consumer price indexes have significant adverse effects on the inflation. Whereas in the same equation 2, it suggests that gross domestic product variables have a positive relationship that is significant to the ihk. And inflation has a negative relationship significantly insignificant to consumer price index. For this reason, the researcher hopes that the monetary authority, namely Bank Indonesia, can improve monetary stability and maintain the BI rate in regulating the money supply so that it can suppress the inflation rate as an effort to stabilize the prices.