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    727 research outputs found

    Optimal Stock Portfolio Analysis using Mean-Value at Risk (Mean-VaR) under Arbitrage Pricing Theory (APT)

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    Investing in Sharia-compliant stocks is one of the rapidly growing investment options, making it a potential choice for investors\u27 portfolios. Therefore, investors need to understand how to select an optimal composition of stocks in their portfolio. This research aims to calculate the expected return on Sharia-compliant stocks and determine the optimal portfolio. The data used in this study includes stocks within the Indonesian Sharia Stock Index (ISSI) in the energy and mining sectors from November 1, 2022, to October 30, 2023. The analytical models employed are the Arbitrage Pricing Theory (APT) and Mean-Value at Risk (Mean-VaR). Based on the research findings, seven stocks form the composition of the optimal stock portfolio. These stocks are AKRA, ANTM, PGAS, INCO, INDY, PTBA, and MDKA, with weights of 20.54%, 19.58%, 19.02%, 14.24%, 10.97%, 8.00%, and 7.66%, respectively. The expected return for the investor is 0.13% per day, with a corresponding risk of 0.23%

    Analysis of Pet Owners\u27 Willingness to Pay for Pet Insurance Premiums in DKI Jakarta Using Logistic Regression Model

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    Pets provide many benefits to their owners, both physically and mentally. Pet lovers are increasingly aware of the importance of proper health and care for their beloved animals. This has led pet enthusiasts to consider pet insurance. In participating in insurance, there are factors that influence the willingness of pet owners to pay premiums. The objective of this research is to determine the premium for pet insurance and analyze the factors influencing the Willingness To Pay (WTP) of pet owners. This study utilizes choice modeling format by conducting surveys to identify the factors influencing the purchase of pet insurance. Subsequently, binary logistic regression model analysis using the Maximum Likelihood Estimation (MLE) method and the Newton-Raphson Iteration approach is employed to analyze the factors influencing the magnitude of WTP. The research results show that the average willingness to pay for pet insurance premiums is IDR128,574.76 per year. Factors influencing the decision of pet owners include the number of family dependents and awareness of the importance of participating in pet insurance. The likelihood of cat owners being willing to pay pet insurance premiums is 0.8691 or 86.91%

    Risk Measurement of Investment Portfolio Using Var and Cvar from The Top 10 Traded Stocks on the IDX

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    Portfolio investment reflects a commitment to the allocation of funds or resources which is considered a strategic step in managing assets to achieve future profits. This research begins with a careful analysis of a portfolio consisting of the ten best stocks on the Indonesia Stock Exchange (IDX). Through in-depth processing and analysis of stock data, the dynamics of performance, risk and volatility involved in each investment commitment are revealed. The Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) methods at the 90%, 95%, and 99% confidence levels take centre stage, highlighting the potential for increased losses as confidence levels increase. In-depth analysis illustrates that CVaR, considering the extreme risks in the distribution, provides a more holistic picture than VaR. With a VaR (99%) value of IDR 84,973,959,424 and CVaR (99%) of IDR 471,795,822,064, this research provides a concrete picture of potential risks at the highest level of confidence. These results confirm that CVaR has a crucial role in identifying and measuring the potential for more significant losses, especially in the face of unexpected market uncertainty. As a guide for investment decision makers, this research forms an important basis for carefully considering the level of risk and potential return at various levels of confidence. This allows the development of smarter and more informed investment strategies

    The Comparison of Investment Portfolio Optimization Result of Mean-Variance Model Using Lagrange Multiplier and Genetic Algorithm

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    Investment portfolio optimization is carried out to find the optimal combination of each stock with the aim of maximizing returns while minimizing risk by diversification. However, the problem is how much proportion of funds should be invested in order to obtain the minimum risk. One approach that has proven effective in building an optimal investment portfolio is the Mean-Variance model. The purpose of this study is to compare the results of the Mean-Variance model investment portfolio optimization using Lagrange Multiplier method and Genetic Algorithm. The data used are stocks that are members of the LQ45 index for the period February 2020-July 2021. Based on the research results, there are five stocks that form the optimal portfolio, namely ADRO, AKRA, BBCA, CPIN, and EXCL stocks. The optimal portfolio generated by the Lagrange Multiplier method has a risk of 0.000606 and a return of 0.000726. Meanwhile, using the Genetic Algorithm resulted in a risk of 0.000455 and a return of 0.000471. Thus, the Genetic Algorithm method is more suitable for investors who prioritize lower risk. Meanwhile, the Lagrange Multiplier method produces a relatively higher risk, making it less suitable for investors who expect a small risk.

    Optimal Portfolio Using Roy’s Safety-First Method on Primary Consumer Goods Sector Stocks

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    Before carrying out investment activities, investors need to form an optimal investment portfolio. This study aims to form an optimal portfolio in primary consumer goods sector stocks that sell the basic needs of the community so that stocks in the sector tend to be stable. The method used in forming the optimal portfolio is Roy\u27s Safety-first method. The portfolio formed produces 6 combinations of stocks consisting of WIIM, DSNG, MRAT, CAMP, SIMP, and MBTO stocks respectively with a proportion of funds of 44.05%, 16.38%, 18.61%, 15.06%, 4.32%, and 1.59% with an expected return portfolio of 3.10% and a portfolio risk of 1.65%

    Analysis of the Dominant Factors Associated with the Incidence of Covid-19 in Prehospital and Intra-Hospital Nurses

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    Nurses are the main lead in tackling the Covid-19 pandemic as if they are risking contracted by Covid-19. High stress during a pandemic has an impact on psychological problems, Personal Protective Equipment (PPE) usage, decision-making difficulty on triage, and fatigue in which those can decrease the immune systems. The aim of study was to identify the dominant factors related to the incidence of Covid-19 in nurses. This observational study used Cross Sectional Study design and consecutive sampling techniques at 136 respondents. Questionnaires was used as instruments tested by validity and reliability to measure Fatigue, Psychological Problems (Depression, Anxiety, Stress), Decision-Making Ability of Triage-EWS Screening Covid-19, Vaccination history, risks of exposure, PPE usage and Covid-19 Incidents. Dominant factor analysis was assessed using multivariate analysis by logistic regression test. Based on the results of the logistic regression test, it was found that the risk of exposure to Covid-19 was the dominant factor with the incidence of Covid-19 among nurses in the pre-intra-hospital settings with significance of the test results p value <0.0. Handling of Covid-19 incidents in health workers is crucial. It has been clear that the risk of exposure to people who are confirmed positive can increase the incidence of Covid-19, so it necessary to make prevention program by implementing physical distancing and increasing activities that impact on increasing of immunity

    Evaluating Anti-Corruption Education Implementation in Village Governance - A Case Study of PKM in Cipatujah District, Tasikmalaya Regency

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    Community Service (PKM) is an effort to increase understanding and quality of the role of village heads and village officials incarrying out government duties at the village level. PKM activities carried out in Cipatujah District, Tasikmalaya Regency, focuson materials such as good governance, anti-corruption education, and the role of village heads as government administrators. Theevaluation results showed a significant increase in participants' understanding of the materials. The instructions provided also helpparticipants understand their roles and responsibilities as effective village leaders. These positive results indicate that PKMactivities have made a positive contribution in strengthening the role of village heads and village officials in village development.It is hoped that the understanding and enthusiasm gained from this activity will continue in daily practice, creating a village that ismore advanced, empowered and has integrity

    Analysis of Students\u27 Communication Politeness Capabilities Towards Lecturers in an Academic Environment: Case Study at FKIP Universitas Perjuangan Tasikmalaya

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    This research investigates students\u27 polite communication skills towards lecturers in an academic environment. Data was collected through observations and interviews with students from the Indonesian Language and Literature Education Study Program at FKIP Universitas Perjuangan Tasikmalaya. The main finding is that most students tend to use less polite language in communication with lecturers, including the use of slang, non-compliance with communication ethics, and lack of use of polite words such as "thank you." Factors such as the living environment and relationships outside campus influence student communication patterns. The modern era of technology and easy access to digital content has also influenced their communication practices. This influence has the potential to damage the campus\u27 reputation and create disharmony in the academic environment. Awareness of the importance of language politeness and the active role of educational institutions and lecturers in providing guidance on communication ethics can help create a more conducive academic environment

    Development of Human Resources in the Advanced Infrastructure Sector in Ciasmara Village, Pamijahan District, Bogor Regency

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    This Community Service (PkM) was motivated by the infrastructure problems of Ciasmara village with many roads damaged due to high rainfall and the village still using contractor services so that indirectly it had to spend more budget to pay for these services. This PkM activity is to provide knowledge and understanding to village officials about how to plan and calculate budgets regarding roads and bridges, heavy equipment used Autocad software, especially with regard to calculating the volume of each work item that has been prepared and will be implemented. The PkM implementation method goes through stages 1) Counseling, 2) Planning, 3) Training and 4) Evaluation. In this activity, village officials can have better insight, especially in terms of planning correct budget plans in accordance with existing (government) laws and regulations, especially those relating to government projects in particular and projects outside the government in general, so that in the future they will become reliable and capable village officials who will support the programs launched by Ciasmara village and provide better progress and contributions

    Building the Ecoliteracy Intelligent of Student Through the Citizen Project Model at FKIP UNIBBA

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    This research is motivated by the challenges faced by humans today related to the environment. Ecoliteracy intelligence needs to be developed especially for FKIP students at the University of Bale Bandung, who are prospective educators to create environmentally friendly character- based learning. This study aims to analyze: (1) the eco-literacy intelligence of FKIP Bale University Bandung students; (2) Factors that become obstacles and potential in building eco- literacy intelligence for FKIP UNIBBA students; and (3) The implementation of eco-literacy competencies through project citizens. The method used was a survey in four study programs, with respondents consisting of study program heads/secretaries, teaching staff, and students. The results of the study show that (1) In general, FKIP UNIBBA students have good eco- literacy intelligence in preserving the environment; (2) The potential effort to increase students\u27 eco- literacy intelligence is implemented in an integrated curriculum in each study program, especially those related to ethics and environmental awareness courses, a global perspective, PLSBS Sundanese Culture which is a special subject based on local wisdom of FKIP UNIBBA. Meanwhile, the obstacles in efforts to increase the eco-literacy intelligence of FKIP UNIBBA students are the absence of a policy to provide a special budget for the provision of environmentally friendly facilities; (3) The project citizen model is a character-based learning model to create smart and wise citizens who are built through ecological intelligence. Strategic policies to create a green and environmentally friendly campus need to be improved

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