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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.