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This study aims to analyze the effect of various Islamic banking instruments on the Return on Asset (ROA) provided by PT Bank BCA Syariah. This study uses historical data for the last five years (2018-2022) and statistical analysis to evaluate the contribution of certain Islamic banking instruments to the amount of financing provided by the Islamic bank. The results of this study provide greater insight into how Islamic banking instruments affect the financing portfolio of PT Bank BCA Syariah and can serve as a foundation for future strategic decision-making in the management of Islamic banking funds and financing. This research is expected to make a positive contribution to the understanding of the development of Islamic banking and sustainable Islamic banking practices.

The Indonesian capital market is a dynamic and challenging area for investment stakeholders, especially stock portfolio holders. This objective is to measure and analyze the performance of stock investment portfolios using standard deviation as a key indicator to measure equity market volatility in the Indonesian capital market. The writing method used is a descriptive method using standard deviation. The result of the standard deviation shows that the higher the investment risk between risk and return to compensate the return corresponding to the greater level of risk taken, but also increases the potential loss. The performance of the stock investment portfolio in 2022 can be said to be good. This can be seen from the growth in portfolio value that continues to increase from month to month. The portfolio's average return on investment (IRR) is 8%.

This research explores the application of Monte Carlo Simulation in estimating portfolio risk in the Indonesian stock market. The primary objective is to assess the effectiveness of this method in predicting portfolio return distribution and managing risk compared to traditional methods like Value at Risk (VaR). Data from the Indonesia Stock Exchange (IDX) were used to analyze stock returns, focusing on sectors such as telecommunications and property. Monte Carlo Simulation was applied to generate multiple scenarios of stock returns based on historical data and probabilistic distributions. The findings show that Monte Carlo Simulation provides a more comprehensive risk estimation, especially for stocks with high volatility and small market capitalization. Unlike VaR, which assumes a normal distribution, Monte Carlo Simulation accounts for extreme risk events and market uncertainties. The study also highlights the importance of diversification, as portfolios with a mix of high and low volatility stocks demonstrate a more stable risk profile. The results suggest that Monte Carlo Simulation is an effective tool for investors looking to manage risk in dynamic market conditions, providing more accurate and reliable estimations compared to traditional risk assessment methods. This research recommends further exploration of Monte Carlo Simulation in other sectors or with varied data for broader applications in risk management.

Overconfidence and Investment Decision are very important instruments for individuals, especially investors in the capital market. Overconfidence is the first step if an individual wants to invest, because every investment instrument carries risks. If they have a confident attitude, they will dare to take risks. Investment decisions are very important in investment instruments. Individuals must be able to analyze portfolios by properly weighing risk and return. Overtrust and investment decisions must be determined by financial literacy, because if financial literacy is low, investors can become entangled in illegal investments. The purpose of this study is to empirically prove the effect of financial literacy on overconfidence and investment decisions. The sampling technique in this study used purposive sampling. Test the quality of the data used, namely test the validity and reliability test, test the model and test the hypothesis using multiple linear regression analysis. The results showed that the financial literacy variable had a positive and significant effect on overconfidence and investment decisions