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This study applies the Mean Variance model, which aims to form an optimal portfolio composition in the health, property, and cyclical consumer sectors and combine the three sectors into one portfolio, then visualize its efficient frontier. This study analyzes the return profiles and compares the risks of each portfolio using alternative risk measures such as the Coefficient of Variation (CV), Value at Risk (VaR), and Conditional Value at Risk (CVaR). Daily closing price data for the three sectors listed on the Indonesia Stock Exchange (IDX) from March 2, 2020, to March 3, 2025, were used in this study. Stock selection was conducted using purposive sampling, followed by selecting seven stocks for optimization based on the lowest Coefficient of Variation (CV) value. Portfolio optimization analysis was conducted using the Python programming language with Visual Studio Code software. The findings of this study indicate that the combined portfolio incorporating the three sectors is the most efficient, with an expected return of 0.104%, standard deviation of 0.007, and alternative risk measures such as Coefficient of Variation (CV) 6.9328, Value at Risk (VaR) of -0.99%, and Conditional Value at Risk (CVaR) of -1.44%, which are lower than those of single-sector portfolios. Visualization of the efficient frontier curve confirms that the combined portfolio offers better results in terms of risk and return. The results of this study indicate that cross-sector diversification can significantly reduce risk and prevent significant losses.

This study examines the comparative volatility of gold and Bitcoin over the period January 2020 to August 2025, using monthly data and employing descriptive statistics, the Augmented Dickey-Fuller (ADF) test, GARCH (1,1), and the Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroskedasticity (DCC-GARCH) model estimated with EViews 13. The results show that Bitcoin is characterized by extreme and persistent volatility, reflecting its speculative nature, whereas gold remains stable and functions as a conventional safe-haven asset. Correlation analysis indicates that the relationship between gold and Bitcoin is generally weak but dynamic, as the strength and direction of their co-movements change across different market conditions. These findings highlight the potential role of gold as a hedge and Bitcoin as a speculative diversifier, offering insights for portfolio diversification and risk management. These results also suggest that investors should carefully consider their risk tolerance and investment horizon when allocating assets between traditional and digital commodities.

Research aims to explore the influence of robo-advisor usage, trust in artificial intelligence (AI), financial literacy, and risk tolerance on investment behavior and its impact on the portfolio performance of retail investors in Indonesia. This study applies a quantitative approach, collecting data from 100 respondents who use investment applications such as Bibit, Ajaib, and Bareksa through the distribution of structured questionnaires with a 5-point Likert scale. Data analysis was carried out using the Structural Equation Modeling (SEM) technique. The results indicate that the four independent variables robo-advisor usage, trust in AI, financial literacy, and risk tolerance significantly affect investment behavior, which in turn has a positive effect on portfolio performance. High trust in AI combined with strong financial literacy fosters more disciplined and rational investment behavior. These findings highlight the importance of effective AI technology integration, improving financial literacy, and managing risk preferences to enhance investment decision-making quality and financial well-being. The study contributes to behavioral finance literature and offers practical implications for fintech developers and policymakers in emerging markets.

This study aims to analyze the implementation of the murabahah contract in the Home Ownership Credit (KPR) financing product at Bank Syariah Indonesia (BSI) Cimahi Branch Office. This study uses a descriptive qualitative method with data collection through interviews, observation, and documentation. The results show that the KPR financing mechanism at BSI Cimahi Branch Office has been running in accordance with sharia principles established by the National Sharia Council (DSN-MUI). The process starts from customer application, wakalah contract, to the implementation of the murabahah contract with the principle of transparency of the principal price and profit margin agreed in advance and fixed throughout the financing tenor. The implementation of this system provides payment certainty for customers and protects against the risk of interest rate fluctuations. In terms of performance, Murabahah KPR financing at BSI Cimahi Branch Office has contributed significantly to the financing portfolio with a low level of Non-Performing Financing (NPF) and positive growth every year. However, challenges still exist in the amount of the down payment and the attachment of a fixed margin that can be a burden for customers with limited financial capabilities. Overall, the murabahah contract has proven to be an effective, transparent, and sharia-compliant instrument in supporting home ownership for the Muslim community in Indonesia.

Indonesia’s Islamic capital market has experienced remarkable growth in recent years, evidenced by the increasing number of investors and the rising market capitalization of Sharia-compliant stocks. This article aims to analyze the performance and management strategies of Sharia stock portfolios by reviewing academic literature published in Indonesia between 2019 and 2024. Utilizing a literature review methodology, the study compares the return and risk characteristics of Sharia stocks with those of conventional stocks. It also evaluates the applicability and effectiveness of classical portfolio theories—namely, the Markowitz Model and the Single Index Model—in managing Sharia-compliant investments. The findings reveal that Sharia stock portfolios often perform competitively and tend to exhibit greater resilience and stability during financial crises. This resilience is attributed in part to the rigorous stock screening mechanisms that comply with Islamic principles, excluding sectors and companies that do not meet Sharia criteria. Additionally, various macroeconomic factors such as inflation, interest rates, exchange rates, and global economic fluctuations are found to impact the performance of Islamic stock portfolios. The article highlights that while Sharia investments align with ethical and religious values, they also offer practical advantages in risk management and diversification. Furthermore, digital technology and fintech innovation are seen as essential tools to enhance transparency, accessibility, and investor engagement in the Islamic capital market. The study concludes that the development of Sharia-compliant stock investments in Indonesia holds promising potential, especially if accompanied by improved financial literacy, inclusive investor education, and stronger technological infrastructure. This paper offers valuable insights for policymakers, market regulators, and investors interested in promoting sustainable and faith-based financial practices within Indonesia’s rapidly evolving capital market ecosystem.

This study aims to analyze the influence of the lifestyle of credit relationship managers (RMs) and the potential for fraud on the occurrence of non-performing loans in the banking sector. Relationship managers are the spearheads of credit distribution, interacting directly with customers, so their behavior, lifestyle, and integrity have a significant impact on the quality of a bank's credit portfolio. This study uses a qualitative descriptive method with a systematic literature review approach, reviewing various recent studies related to bank employee lifestyles, factors driving fraud, and their correlation with non-performing loans. The results indicate that a consumptive lifestyle disproportionate to income can increase the risk of fraudulent behavior, such as manipulation of credit analysis or collusion with customers, which ultimately results in an increase in non-performing loans. Furthermore, weak internal control systems, pressure to achieve credit targets, and moral hazard exacerbate this risk. A lifestyle that prioritizes social symbols and self-image can also encourage employees to engage in deviant behavior to maintain this lifestyle. Several studies have shown that RMs trapped in a hedonistic lifestyle are more vulnerable to conflicts of interest and violations of professional ethics. Meanwhile, the potential for fraud in banking practices is also influenced by employees' weak personal financial literacy, as well as limited training in risk management and ongoing work ethics. In an organizational context, a work culture oriented toward achieving targets without regard for the quality of credit analysis has the potential to create a work climate that is permissive of irregularities. This study recommends strengthening a culture of integrity through the establishment of a firm code of ethics, technology-based supervision (such as an AI-based fraud detection system), and regular training on a healthy financial lifestyle and risk management for RMs.

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 program was designed to improve the financial literacy of Generation Z, with a specific focus on members of the Maluku Protestant Church Youth Movement (AMGPM) in Poka Village. Initial assessments indicated that most participants had limited financial knowledge, with fewer than 30% understanding basic investment concepts. The initiative employed socialization and simulation methods to educate participants on investment principles, introduce regulated investment applications approved by OJK and BAPPEBTI, and promote secure online investment strategies. Evaluation findings revealed significant progress, with 40% of participants showing improved financial literacy. Additionally, over 75% successfully performed investment steps during simulations, and 85% expressed increased confidence in beginning their investment journey. While the program effectively enhanced participants' understanding, continued training is necessary to ensure long-term impact, particularly in the areas of portfolio diversification and risk management, which are critical for building sustainable and resilient investment practices.

This research aims to analyze the impact of Environmental, Social, and Governance (ESG) integration on the risk-return profile of the investment portfolio of PT Unilever Indonesia Tbk. The research employs a quantitative method with a case study approach, utilizing historical data from the period 2017-2021. The data is analyzed to identify the relationship between ESG scores and portfolio returns, as well as portfolio risk. Regression analysis and t-test are employed to test the research hypotheses. The findings reveal a positive and significant relationship between ESG integration and the investment portfolio's return of PT Unilever Indonesia Tbk. The regression coefficient of 0.154 indicates that each one-point increase in the ESG score will result in an average increase of 0.154% in the investment portfolio return.

This study examines the effect of market risk, investor sentiment, and interest rates on the performance of energy sector stocks in Indonesia for the period 2019–2023, with market liquidity as a mediating variable. The study was conducted through a literature review by identifying and analyzing various related studies. Secondary data was obtained from scientific journals and related reports using relevant literature selection techniques. The results of the study indicate that oil price volatility, investor sentiment, and interest rate changes significantly affect the performance of energy sector stocks. Market liquidity was found to be able to reduce the negative impact of market risk and interest rates, and strengthen the positive influence of investor sentiment on stock prices. This study concludes that market liquidity plays an important buffer in maintaining the stability of stocks in the energy sector, especially in dealing with market fluctuations. The results of this study contribute to investment managers in developing more adaptive portfolio strategies and to regulators in creating policies that support market liquidity.

The capital market plays a significant role in modern economies by providing a platform for individuals and companies to raise funds and invest. This study explores the dynamics of capital market investments, focusing on managing risks and maximizing returns. The objective is to understand the types of risks involved in capital market investments and identify strategies for effective risk management. The research uses qualitative methods, reviewing literature and analyzing case studies of successful capital market investments. The findings suggest that diversification, hedging, and portfolio management are key strategies in minimizing risks, while long-term investments and active trading offer significant profit potential. The study concludes that a deep understanding of market conditions, coupled with risk management techniques, is essential for investors to achieve sustainable profits. The implications of this research highlight the importance of financial education in making informed investment decisions and the role of the capital market in economic growth.

This study examines and compares the Capital Asset Pricing Model (CAPM) with the Sharia Compliance Asset Pricing Model (SCAPM) in constructing an optimal stock portfolio based on the sharia stock index on the Indonesia Stock Exchange, specifically the Jakarta Islamic Index (JII), during the 2019–2023 period. The primary aim is to evaluate whether the SCAPM, which incorporates mudharabah profit-sharing returns in place of the risk-free rate, offers more relevant insights for Muslim investors compared to the CAPM. Utilizing a quantitative approach and a two-step regression method, the research develops an optimal portfolio by calculating stock betas and analyzing the relationship between systematic risk and expected returns. The findings reveal that neither the CAPM nor the SCAPM models are valid for predicting risk and expected returns for the JII's optimal stock portfolio. This study is intended to guide sharia-compliant investors in making informed decisions and assist investment managers in designing strategies aligned with Islamic financial principles.

This study examines the impact of interest rates and inflation during the 2019-2023 period on asset allocation strategies in Indonesia's investment portfolio. Investment decisions are heavily influenced by two macroeconomic components, namely interest rates and inflation. These factors mainly affect how assets comprise a portfolio. In this study, data on Bank Indonesia's benchmark interest rate and the national inflation rate over the past five years are analyzed to see the pattern of change and its impact on asset allocation strategies, which include stocks, bonds, property, and other assets. The results show that rising interest rates significantly encourage people to shift from high-risk assets (e.g. stocks) to safer assets (e.g. bonds and deposits). Meanwhile, high inflation triggers an increased allocation to physical assets such as property and gold as a hedge against declining purchasing power. This research provides insights for investors to adjust their investment portfolios based on macroeconomic dynamics, especially in the face of interest rate volatility and inflation. The findings also highlight the importance of flexibility and diversification in asset allocation strategies to achieve optimal investment objectives amid economic uncertainty. The conclusion of this study confirms the importance of understanding interest rate and inflation dynamics in formulating effective investment strategies in Indonesia. The implications of these findings can be used by investors and policymakers in designing better monetary policies and investment strategies, in order to maintain national economic stability.

The ever-changing and volatile global economy poses significant challenges for businesses around the world. Faced with this uncertainty, financial resilience strategies are essential to help businesses not only survive but also thrive in a turbulent environment . This article aims to analyze the financial recovery strategies undertaken by PT. Denpoo Mandiri Indonesia in the face of a volatile global economy. Through a case study approach, we explore the specific steps these companies took to turn risks into opportunities, as well as the strategies that proved most effective in strengthening their key financial positions. Taking into account factors such as portfolio diversification, risk management and financial flexibility, we present an in-depth look at how PT Denpoo Mandiri Indonesia has managed to overcome the challenges of the global economy and turn them into opportunities for growth and long-term success.    

Research of stock portfolio performance based on market to book value (PBV) and market capitalization are still a debate and pro kontra. The purpose of this research is to analyze the performance of stock portfolio based on PBV and market capitalization. The samples of this study Jakarta Islamic Indeks (JII)  during periode 2020-2022. Total Observation of 60 was determined by purposive sampling method. Performance of stock portfolio based on PBV is devided by 2 format stock portfolios, namely: PBV high and PBV low. For market capitalization is devided by 2 format stock portfolio namely : big market capitalization and small market capitalization. All of them are measured by Risk  Adjusted Return (index of Sharpe and Treynor). The result of these research is stock portfolio performance namely PBV low is outperform than PBV high, big market capitalization and small market capitalization which measured by index Sharpe and index Treynor during periode 2020 – 2022 at Jakarta Islamic Indeks (JII). The implication of this study suggests to perform of  stock performance namely PBV low which havethe  potential high earning growth because PBV less than one, means undervalued.

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.

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).  

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%.

The importance of hedging is manifested in an international context, multinational companies face unique challenges related to currency fluctuations and geopolitical risks. PT Astra as a leading company in Indonesia with a very diverse business portfolio, is an interesting subject to be researched related to the strategies and hedging practices applied. Hedging can be done through various financial instruments such as futures, options, swaps, and other derivative instruments.  PT Astra has successfully implemented an effective hedging strategy in dealing with risks in the automotive industry. This success is supported by the involvement of related parties, coordination between departments, and a good understanding of risk factors.

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.