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This study investigates the contribution of Islamic banks in supporting green economy initiatives and promoting sustainable financial growth. Employing a quantitative research design, the study utilizes secondary data collected from annual reports, sustainability disclosures, and carbon emission reports of Islamic banks for the period 2018–2024. The research aims to examine the relationship between green financing portfolios and key financial performance indicators Return on Assets (ROA), Return on Equity (ROE), and Capital Adequacy Ratio (CAR) while evaluating the environmental impact through carbon emission reduction. Descriptive statistics provide an overview of green financing activities and financial ratios, while multiple regression analysis assesses the effect of green financing on sustainable financial performance, controlling for bank size, Gross Domestic Product (GDP) growth, and inflation. An independent sample t-test compares Islamic and conventional banks in terms of ethical compliance, environmental contribution, and profitability. The findings reveal that Islamic banks allocate a higher proportion of financing to green projects, achieving significant carbon emission reductions without compromising financial performance. The green financing portfolio exhibits a positive and significant effect on sustainable financial growth, and larger banks demonstrate a greater capacity to implement sustainability initiatives. The comparative analysis confirms that Islamic banks outperform conventional counterparts in environmental and ethical dimensions while maintaining comparable profitability. These results underscore the potential of Sharia-compliant banking to integrate ethical, environmental, and economic objectives, positioning Islamic financial institutions as key actors in advancing a sustainable, low-carbon financial system.

This research applies the event study method to the Russian attack on Ukraine, with a focus on empirical evidence regarding the existence of abnormal returns around the event, as well as differences in abnormal returns before and during the event. This research is census in nature, involving 45 stocks that are members of the Liquid 45 Index as the population. Data collection is carried out through secondary sources, including daily closing stock prices and daily IHSG. Data analysis is based on a parametric statistical approach, namely one sample t-test and paired sample t-test. Statistically, this research finds evidence of abnormal returns, although not significant, around the event of Russia's attack on Ukraine. Additionally, there is an insignificant anomaly between the abnormal returns before and during the event. The conclusion of this research is that the Indonesian capital market is said to be an informationally efficient, semi-strong market. These findings can be a reference for investors in allocating funds, aiming to obtain an optimal portfolio.

This literature study aims to introduce the main fundamental analysis and stock valuation methods that daily equity traders apply in choosing stocks for their active equity portfolios. Daily equities traders rely mostly on technical charts and other tools to identify patterns that can suggest potential activity without assessing a stock’s intrinsic value for trading decisions. Chart analysis is designed to find trades with high probability outcomes by establishing precise price targets. The goal of this technical paper is to emphasize the significance of fundamental analysis in the investment choices of daily traders. Fundamental analysis is based on the careful comparisons of a stock’s intrinsic value to the current market price. If the stock’s intrinsic value is higher than the market price, it is reasonable for a fundamental investor/trader to purchase the stock. This paper endorses the idea that using both investment techniques would result in more successful investing decisions for equities traders.

Parties or companies that manage their customers' managed funds into various investment instruments are known as investment managers in mutual funds. Mutual funds are highly recommended for novice investors because of their low capital and risk compared to other types of investment. In managing mutual funds, the investment manager is responsible for the securities portfolio and the collective investment portfolio. The portfolio is intended to minimize the risks that occur when managing investments, with the existence of a portfolio it is expected that the returns expected by investors can be achieved optimally in managing mutual funds. In managing mutual funds, there are always mistakes in anticipating the return expected by investors. Default is one example of an error that occurs. There are two causes of default: debtor (customer) and force majeure (overmacht or force majeure).  

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