Abstract:This study aims to analyze the impact of Good Corporate Governance (GCG) on tax aggressiveness in mining companies listed on the Indonesia Stock Exchange (IDX). A quantitative approach was used in this research, with secondary…
ondary data obtained from financial statements and annual reports of companies over a certain period. The results show that GCG, particularly independent board commissioners and the frequency of board meetings, has a negative and significant impact on tax aggressiveness. However, the influence of the audit committee and the nomination and remuneration committee on tax aggressiveness is not significant. These findings underscore the importance of stronger GCG implementation to reduce risks associated with corporate tax policies. This study provides important implications for companies and regulators in enhancing effective corporate governance to reduce tax aggressiveness in the mining sector.
Abstract:Bad credit is one of the main problems faced by the banking sector, which can threaten financial stability and bank profitability. This research aims to analyze the causes of bad credit through the literature review method,…
od, by identifying and evaluating relevant scientific works. The research results show that the causes of bad credit can be categorized into four main factors: internal factors of the borrower, external factors of the borrower, internal factors of the bank, and regulatory and policy factors. The borrower's internal factors include poor management and weak financial capabilities, while external factors include unstable macroeconomic conditions and intense business competition. Internal bank factors include weak credit assessment processes and inappropriate credit policies, while regulatory and policy factors include less effective regulations and erratic changes in government policy. To reduce the risk of bad credit, banks and financial institutions are advised to improve credit assessment processes, tighten supervision of the use of funds, develop credit policies that are more flexible but based on in-depth risk analysis, and strengthen regulations and supervision. Macroeconomic risk mitigation strategies are also important to maintain financial stability. By implementing these strategic steps, it is hoped that the risk of bad credit can be minimized, support the stability and sustainability of the banking sector, and increase trust and security for all parties involved. This research emphasizes the importance of a comprehensive and coordinated approach in credit risk management to ensure the sustainability and stability of the financial system.
Abstract:Artificial Intelligence has become a transformative technology in the field of financial technology, leveraging advanced algorithms and machine learning to identify risks and make informed decisions. However, its widespread…
ead adoption presents new challenges related to ethical use, data privacy, security concerns, potential bias, and discrimination. This study aims to explore the benefits of AI-based risk management in Fintech while highlighting associated challenges and providing recommendations. This research utilises the systematic review methodology to analyse existing literature and identify important patterns, gaps, and areas for further investigation. The study utilised data gathered from the Scopus database to obtain credible scholarly materials. Research data was collected from a variety of countries including the United States, China, European nations, and other Asian countries in order to develop a comprehensive understanding of AI-based risk management on a global scale. The findings highlight the crucial role of ethical considerations in implementing AI-based risk management systems to ensure fairness, transparency, and accountability. Moreover, the fintech industry needs to establish strong data protection measures and address issues related to bias and discrimination in order to instil trust and uphold public confidence in AI-based risk management. Future research should emphasise assessing the effectiveness of different algorithms and approaches while also examining potential regulatory frameworks and legal implications associated with AI-based risk management strategies.
Abstract:In order to increase the resilience of the supply chains in the United States, this paper examines the risks and vulnerabilities that exist in them and suggests policy goals. By employing both numerical data and empirical…
l proof, we pinpoint the primary obstacles endangering the steadiness and effectiveness of supply networks. These risks are exacerbated by elements like globalization, technological changes, and natural calamities. We examine different policy initiatives, such as international cooperation, investment plans, and regulations, and provide recommendations to reduce these vulnerabilities and strengthen the resilience of U.S. supply chains .
Abstract:The financial uncertainty in the results of the investment evaluation creates conditions of risk in the decision making of any strategy in the management of the industrial units. The recent crises (economic and pandemic)…
have only reinforced the need to explicitly introduce the factor of uncertainty in any new investment decision. The aim of the present paper is to develop a methodological approach contributing to the appraisal of an investment project under risk and uncertainty. Methods from statistical - econometrics, probabilistic analysis, numerical simulation methods and financial analysis are used and combined. The stochastic approach is used through the Monte Carlo simulation to appraisal the uncertainty. Finally, the implementation of probabilistic theory combined with the use of decision trees allows to estimate in a more relevant way the factor of uncertainty considering all perspectives.
Abstract:This study aims to analyze the effect of investment risk on stock returns for the LQ45 index for the 2016-2021 period. This research uses quantitative methods. Sampling using several criteria so that the data obtained were…
re 27 companies. The analysis technique used is simple linear regression analysis using the SPSS version 22 program. The results of this study indicate that the significance value is 0.781> 0.05 and the coefficient is 0.008, which means that Beta has a positive and insignificant effect on stock returns. The results of this study do not support the hypothesis that has been put forward.
Abstract:This study aims to determine differences in the soundness level of government owned Islamic banks before and after the merger using the Risk Profile, Good Corporate Governance, Earnings, and Capital methods. This study uses…
ses quantitative anda comparative methods with secondary data types in the form of quarterly financial reports obtained from the bank’s official website and www.ojk.co.id. The samples in this research are balance sheets and reports profit and loss of Bank Syariah Mandiri, BNI Syariah, BRI Syariah, and Bank Syariah Indonesia in the 2018-2022 period. Based on the results of research with bro using the RGEC method which consists of Risk Profle with a Non ratio Performing Financing (NPF), and Financing to Deposit Ratio (FDR), Good Corporate Governance with Net Open Position (PDN) ratio, Earnings with gan Return On Asset (ROA) and Capital ratio with the Capital Adequacy Ratio (CAR). The results of the NPF, PDN, ROA, and CAR ratio analysis provide result that there is a significant difference in this ratio before and after the merger. Meanwhile, the FDR ratio shows that there is no difference in the results significant before anda after the merger. Based on research has been carried out, it can be concluded tha Bank Syariah Indonesia is improving after the merger.
Abstract:This study aims to (1) find out the composition of shares that can be formed into an optimal portfolio of IDX High Dividend 20 shares listed on the IDX for the period 2019 - 2022 using the single index model. (2) Knowing…
the proportion of funds that must be invested in each of the IDX High Dividend 20 shares listed on the IDX for the 2019 - 2022 period which forms a portfolio. (3) Knowing the amount of return and risk from the optimal IDX High Dividend 20 portfolio recorded on the IDX for the period 2019 - 2022 using the single index model. The sample of this research is 29 company shares selected based on purposive sampling technique. Data collection techniques are carried out with documentation. Data analysis technique uses a single index model.
The results of this study indicate that there are 12 company shares included in the optimal portfolio, namely ADRO of 11.9%, BBCA of 8.7%, BBRI of 2.5%, BMRI of 13.1%, LPPF of 3.5%, ITMG of 11.3%, PTBA of 0.6% , TOWR 0.5%, DMAS 2.2%, ANTM 14.5%, HEXA 25.3%, and MPMX 5.9%. The expected return that investors get from the optimal portfolio formed is 0.0279 or 2.79% per month. The portfolio risk borne by the investor on investment from the optimal portfolio is (portfolio variance of 0.0144 or 1.44% and a standard deviation of 0.12 or 12% per month.
Abstract:The purpose of this research is to analyze the direct and indirect relationship between green perceived quality, green perceived value, green perceived risk, green purchase intention, and green purchase behavior. This study…
udy examines the mediating role of green purchase intention in the relationship between the orientation of green perceived quality, green perceived value, green perceived risk, and green purchase behavior. This research is included in the mixed method research where both quantitative and qualitative are used. The research method used in this research is an unbalanced mixed method (concurrent embedded design) conducted on farmers in Mulyoagung Village. The research sample was taken using the quota sampling method with the sample size calculator as the method for determining the number of samples. Data collection was carried out online through a questionnaire form for 2 months on 219 farmers in Mulyoagung Village. Data analysis in this study used SEM-PLS assisted by SmartPLS 3.3.3 software. as well as for qualitative research using documentation and interviews. The results of the study show that there is a direct and indirect relationship between green perceived quality, green perceived value, green perceived risk, green purchase intention, and green purchase behavior. Not only that, there is a mediating role of green purchase intention in the relationship between the orientation of green perceived quality, green perceived value, green perceived risk, and green purchase behavior. This research is also supported by the qualitative results obtained from several predetermined informants. there is a mediating role of green purchase intention in the relationship between the orientation of green perceived quality, green perceived value, green perceived risk, and green purchase behavior. This research is also supported by the qualitative results obtained from several predetermined informants. there is a mediating role of green purchase intention in the relationship between the orientation of green perceived quality, green perceived value, green perceived risk, and green purchase behavior. This research is also supported by the qualitative results obtained from several predetermined informants).
Abstract:Measuring portfolio performance cannot only be seen from the returns, but also must pay attention to the risks that investors will bear. Measuring the performance of a stock portfolio can be facilitated by using a proxy,…
namely LQ 45 shares, which are liquid stocks with high market capitalization, have high trading frequency, have good growth prospects and financial conditions, are not volatile and have been objectively selected by the IDX and are stocks. which is safe to own because the fundamental performance of these stocks is good, so that from a risk perspective the LQ 45 stock group has the lowest risk compared to other stocks. The research objective was to determine portfolio performance assessment using the Jensen method, a case study of the LQ45 index on the Indonesian stock exchange for the 2019-2022 period. The population in this study is LQ45 index shares on the Indonesian stock exchange for the 2019-2022 period based on a purposive sampling technique. Data collection is documentation and literature study. The data analysis that will be used in this study is by using the Microsoft Excel 2010 application program to form an optimal portfolio using the Single index model and to assess the performance of a stock portfolio using the Jensen index method. the results of portfolio performance analysis of Jensen's Alpha LQ45 index optimal stocks and obtaining an average RVOR value of 0.0207 or 2.07%.