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    727 research outputs found

    The Impact of Covid-19 on Financial Performance and Share Price on Cigarette Companies Listed on Indonesia Stock Exchange (IDX)

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    This study aims to determine and analyze differences in financial performance and stock prices before and after Covid-19 incigarette companies. Financial performance in this study is measured using three ratios namely Return on Asset (ROA), OperatingProfit Margin (OPM) and Net Profit Margin (NPM). The data used in this study is secondary data from the type of financialstatements of Cigarette Companies from the Indonesia Stock Exchange (IDX) website and the official website of cigarettecompanies, and the sampling method used is sampling census because the samples used in this study are the financial statements ofthe entire population of Cigarette Companies registered with the IDX in the third quarter of 2019 to the fourth quarter of 2020. Theanalysis method in this study is the wilcoxon test using SPSS 26. Based on the results of research obtained show Return on Assets(ROA), Operating Profit Margin (OPM) and stock price showed no significant differences before and after Covid-19. Net ProfitMargin (NPM) shows significant differences before and after Covid-19. To find out and analyze the state of cigarette companies inthe Covid-19 pandemic and also as a consideration for investors and business people in policy makin

    CONSTRUCTION OF MORTALITY TABLES USING UNIFORMLY DISTRIBUTION OF DEATH AND CONSTANT FORCE BASED APPROACHES IN TMI 2019

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    Insurance aims to protect a person from financial losses that may occur due to an unexpected event. On the determination of insurance premiums used mortality tables. However, on the mortality table contains only a round age. While an event cannot be ascertained when it occurs, it could be at the beginning of the year, in the middle, or at the end of the year. Therefore, to determine insurance premiums at an age that is not round, a mortality table that contains fractional age is needed. In this study, the mortality table used is the 2019 Indonesian Mortality Table (IMT) issued by the Indonesian Actuary Association (IAA). The methods used for determining fractional age mortality tables are the Uniform Distribution of Death (UDD) approach and the Constant Force of Mortality (CF) approach. In this study, the results of the 2019 TMI calculation were obtained for fractional ages with male and female genders using two approaches, namely the UDD and CF approaches. In both sexes, the result was obtained that the chance of death calculated using the UDD approach was smaller compared to the CF approach. The resulting graph shows that the 2019 TMI death chances with the UDD and CF approaches did not show significant differences for both men and women, so both approaches can be used to calculate the chance of death at the fractional age of TMI 2019

    De Moivre Law Application for the Construction of Mortality Tables Based on Indonesian Mortality Tables 2019

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    The mortality table or often referred to as the life table is the main instrument used by actuaries in building premium and reserve structures for life insurance products, annuities, and pension programs. The mortality table provides a complete description of the mortality rate and life expectancy and shows the pattern of death of a group of people born at the same time based on the age they have reached and plays an important role as a basis for calculating the level of life expectancy in the future. This article aims to find out how to construct a mortality table with reference to the 2019 TMI for men with de Moivre\u27s Law. In the results of the construction with de Moivre\u27s law, the lowest  value occurred at the age of 0 years, namely = 0.00900901, while the highest  value occurred at the age of 110 years, namely  = 1. Based on the construction of the  value in the 2019 TMI for men using de Moivre\u27s law, which is compared with the  value in the 2019 TMI for men, the results tend to be the same

    Investment Portfolio Optimization Model with Mean-Std Deviation

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    Stock investment is an investment in securities with the hope of getting profits in the future. Investors are expected to make a series of portfolios to get optimal results from investments. This discussion aims to find the weight of the funds invested along with the returns and risks. The method used is the mean + std deviation. The results of this portfolio optimization show that the risk aversion coefficient is 0.1. The optimum weight for investment in each company is KLBF (22.67%), PGAS (8.796%), BBCA (41.77%), ASII (8, 24%), and SMAR (18.52%) with a maximum ratio of 8.8% of a return of 0.0881% and a risk of 1.0009%. The results of this portfolio optimization are expected to help investors by dividing the number of funds to be invested by the return and risk

    Investment Portfolio Optimization Model Using The Markowitz Model

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    The stock portfolio is related to how someone allocates several shares in various types of investments so that the results achieve maximum profit. By implementing a diversification system or portfolio optimization on several stocks, investors can reduce the level of risk and simultaneously optimize the expected rate of return. This study aims to determine which stocks listed on the Indonesia Stock Exchange (IDX) and included in the portfolio for the 2021-2022 period are eligible to be included in the optimal portfolio and to determine the proportion of funds for each share in the formation of the optimal portfolio. The population in this study are all shares included in the Indonesia Stock Exchange (IDX) listed on the Indonesia Stock Exchange (IDX) for the 2021-2022 period. The sample of this research is five stocks that are candidate portfolios. The sampling method uses a purposive sampling method with the criteria of 5 stocks with the highest positive ratio. The population in this study was all 30 companies included in the IDX30, while the samples were five companies. Data were analyzed using a mean-variant optimization model with a research duration between May 2021 and May 2022. Based on the results of the investment portfolio optimization analysis on the 5 (five) selected stocks, this study shows that, out of 23 stocks, five stocks are eligible to enter the optimal portfolio with their respective proportions, namely PT Adaro Energy Indonesia Tbk (ADRO) 20%, PT Astra International Tbk (ASII) 26%, PT Merdeka Copper Gold Tbk (MDKA) 10%, PT XL Axiata Tbk (EXCL) 19%, PT Bukit Asam Tbk (PTBA) 25%. The portfolio of these stocks generates an expected return of 0.00217 at a risk level of 0.00022. It is hoped that this research can be helpful to add to the literature on investment optimization models, especially the concentration of Mathematics in Finance, and serve as an additional reference for further research, as well as an alternative for investors in optimizing investment portfolios

    Investment Portfolio Optimization With Mean-Variance Investment Portfolio Optimization Model Without Risk Free Assets

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    Forming a portfolio is a strategy that is often carried out by investors in risky investment conditions. Five non-risk free stocks were selected, namely PTBA, IPCM, ANTM, BUMI, and ADMF. The purpose of forming this portfolio is to determine the composition of the weight (proportion) of the allocation of funds in each of these shares in forming the optimum portfolio. The method used is the Mean-Variance investment portfolio optimization model without risk-free assets using the Markowitz approach. Based on the results obtained by the optimum portfolio of the Mean-Variance model without risk-free assets, the average return is 0.00105 and the variance is 0.000067 with a portfolio ratio value of 14.65256. The proportion of fund allocation to PTBA shares = 0.28872; IPCM=0.02484; ANTM=0.00016; EARTH=0.13501; and ADMF=0.55126. It is hoped that the formation of this portfolio optimization model will be useful as an alternative for investors in optimizing the investment portfolio to make it more profitable in the future.

    Early Training on Risk Mitigation of Economic Losses Due to Natural Disasters in the Agricultural Business Sector in Tasikmalaya Regency

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    Natural disasters are unexpected events caused by nature, including earthquakes, tsunamis, hurricanes, droughts, floods, volcanic eruptions, landslides and hurricanes. From the several examples of natural disasters above, of course there are a lot of losses in various fields, one of which is in agriculture, with the negative impacts that exist, there needs to be countermeasures to anticipate these negative impacts. One of the steps we can take after a natural disaster occurs to reduce these losses is to mitigate risks. Risk mitigation itself is breaking down (diversifying) into smaller risk parts, and forming an investment portfolio. At training this time, we as a team will provide counseling to MI Cipicung students entitled "Training in Mitigating the Risk of Economic Loss through Diversification and Insurance in the Agricultural Business Sector of Tasikmalaya Regency"

    THE DECISION SUPPORT SYSTEM IN SELECTING THE OUTSTANDING STUDENTS AT SMKN 1 TULANG BAWANG USING ANALYTICAL HIERARCHY PROCESS

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    In the era of globalization, many information technology developments in the field of education began to develop administrative systems using information technology, one of which is by using web-based applications.Decision Support system for the selection of the outstanding students In SMKN 1 Tulang Bawang Using Analytical Hierarchy Process Method the system processes the calculation and disbursement of student achievement data with PHP programming language and Php MyAdmin as a tool to help manage databases using XAMPP.The Decision Support System for The Selection of Outstanding Students can provide convenience for the school in monitoring students and students can also obtain all information on facilities and news in the school

    Negligence Of Customs and Excise in the Implementation of Judicial Decisions on Audit Result Disputes that can Cause Country Loss and Business Actors (A Study On Court Decision No. 46/Pk/Tun/2011 Which Has Not Been Done By Customs And Excise Till Nowadays)

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    Law enforcement has two instruments consisting of supervision and sanctions. In administrative law, supervision and sanctions are closely related to authority and are attached to the instrument of supervision. Law enforcement is the implementation of government functions in law enforcement. Therefore law enforcement must also heed the general principles of good governance. The law requires various devices with the aim of having good performance. One of the performances that distinguish it from the others is that the law has coercive rules, meaning that if the rule of law is poured into a statutory regulation, everyone must implement it. In this study, problems were formulated about (1) How to regulate Customs and Excise obligations in carrying out Supreme Court decisions that already have permanent legal force, (2) How to implement Supreme Court decisions against business actors, (3) How are legal provisions against administrative officials\u27 decisions state for the decision. The decision of the Supreme Court must be carried out because if it is not, it will cause losses to the state. Court decisions that already have permanent legal force are orders that must be carried out. In this case, PT Multi Fabrindo Gemilang\u27s practice of implementing the law is based on the description above: business actors should not be charged according to the Decree issued by the Director-General of Customs and Excise. The provisions of Article 26 paragraph (1) letter h of Law No. 17 of 2006 concerning Amendments to Law no. 10 of 1995 concerning Customs Jo. Article 2 and Article 3 of the Regulation of the Minister of Finance of the Republic of Indonesia No. 163/PMK.04/2007 dated December 17, 2007, concerning the Granting of Exemption from Import Duty on the Import of Goods by the Central Government or Regional Governments for the Public Interest

    Community-Based Local Wisdom Development : Strengthening Accounting and Production Management Skills “Batik Village New Normal Bogor”

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    Batik art which is an intangible cultural heritage native to Indonesia that can be developed based on the potential of local wisdom in each region. This activity is aimed at increasing the ability and providing understanding to the local community-based batik MSME group in managing simple finances and optimal production management. The method used in this activity is theoretical and concept training which is carried out face-to-face, mentoring and direct monitoring in the field by the resource persons. This activity is targeted to be able to increase the 2 (two) new normal batik business groups that have just been formed, able to implement an appropriate and good bookkeeping system in the operation of their business. And can also run an effective and efficient production management system, so as to be able to produce good batik products and have a competitive advantage compared to batik products that are already on the market

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