The highest prevalence in the world is hypertension because this disease is not controlled optimally. Hypertension can be overcome by pharmacological treatment such as drugs that are diuretic, sympathetic and vasodilator. As well as nonpharmacological treatment with weight loss, regular exercise, low salt consumption, low fat and complementary therapies. One of the effective complementary therapies to treat hypertension is cupping therapy. The cupping point used, namely the al-kahil point, serves to prevent an increase in blood pressure. The purpose of this study was to determine the effect of one-point cupping therapy on blood pressure in patients with hypertension at the Cempaka Arum Health Center. The research method used a preexperiment with a one group pre-test- post-test approach. The research population is hypertension sufferers at the Cempaka Arum Health Center with a sample of 41 respondents. The instruments used are sphygnomanometer and stethoscope, as well as an assessment sheet. Data analysis using the Wilcoxon test. The results of statistical tests showed a decrease in blood pressure with a difference of 15,42 (systolic) and 11.71 (diastole). From the Wilcoxon test results obtained p-value 0.000 or p <0.005 so that H0 is rejected and Ha is accepted. It can be concluded that there is an effect of one-point cupping therapy on blood pressure in patients with hypertension at the Cempaka Arum Health Center. It is hoped that this therapy can be included in the list of alternative therapies to treat hypertension at the Cempaka Arum Health Center.
{"title":"The Effect Of Single Point Cup Therapy On Blood Pressure In Hypertension Patients At Campaka Arum Health Center","authors":"Dede Nur Aziz Muslim, Somantri Somantri, H. Imam","doi":"10.46336/ijqrm.v4i1.410","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i1.410","url":null,"abstract":"The highest prevalence in the world is hypertension because this disease is not controlled optimally. Hypertension can be overcome by pharmacological treatment such as drugs that are diuretic, sympathetic and vasodilator. As well as nonpharmacological treatment with weight loss, regular exercise, low salt consumption, low fat and complementary therapies. One of the effective complementary therapies to treat hypertension is cupping therapy. The cupping point used, namely the al-kahil point, serves to prevent an increase in blood pressure. The purpose of this study was to determine the effect of one-point cupping therapy on blood pressure in patients with hypertension at the Cempaka Arum Health Center. The research method used a preexperiment with a one group pre-test- post-test approach. The research population is hypertension sufferers at the Cempaka Arum Health Center with a sample of 41 respondents. The instruments used are sphygnomanometer and stethoscope, as well as an assessment sheet. Data analysis using the Wilcoxon test. The results of statistical tests showed a decrease in blood pressure with a difference of 15,42 (systolic) and 11.71 (diastole). From the Wilcoxon test results obtained p-value 0.000 or p <0.005 so that H0 is rejected and Ha is accepted. It can be concluded that there is an effect of one-point cupping therapy on blood pressure in patients with hypertension at the Cempaka Arum Health Center. It is hoped that this therapy can be included in the list of alternative therapies to treat hypertension at the Cempaka Arum Health Center.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79335287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Micro, Small and Medium Enterprises (MSMEs) have an important role in economic development in order to achieve thq quality of economic growth. Intense competition among MSMEs requires MSMEs to have a good inventory control that can help them minimize costs and maximize profits. One of the MSMEs that often experiences problems in inventory control is Sabun Bening Official. To solve the inventory problems in Sabun Bening Official, Holt-Winter Exponential Additive forecasting method is used as a guide to predict future product demand because product demand graph is seasonal and has trend pattern. After getting the value of product demand forecast, inventory control calucaltions are carried out using the Q Model probabilistic inventory method with lost sales condition. The uncertain and fluctuating demand causing the inventory system in Sabun Bening Official is probabilistic and the company will lose sales if it does not able to fulfill customer demands. Based on the research results, product forecasting for the coming period and inventory control policies which include the optimal number of product order, safety stock, reorder point, and product inventory costs can be obtained.
{"title":"Inventory Control for MSME Products Using the Q Model with Lost Sales Condition Based on Products Sales Forecasting","authors":"Dita Aulia Nissa, S. Supian, Julita Nahar","doi":"10.46336/ijqrm.v4i1.417","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i1.417","url":null,"abstract":"Micro, Small and Medium Enterprises (MSMEs) have an important role in economic development in order to achieve thq quality of economic growth. Intense competition among MSMEs requires MSMEs to have a good inventory control that can help them minimize costs and maximize profits. One of the MSMEs that often experiences problems in inventory control is Sabun Bening Official. To solve the inventory problems in Sabun Bening Official, Holt-Winter Exponential Additive forecasting method is used as a guide to predict future product demand because product demand graph is seasonal and has trend pattern. After getting the value of product demand forecast, inventory control calucaltions are carried out using the Q Model probabilistic inventory method with lost sales condition. The uncertain and fluctuating demand causing the inventory system in Sabun Bening Official is probabilistic and the company will lose sales if it does not able to fulfill customer demands. Based on the research results, product forecasting for the coming period and inventory control policies which include the optimal number of product order, safety stock, reorder point, and product inventory costs can be obtained.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87960525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The expansion of Japanese parent companies worldwide has forced them to carry the organizational culture that the Japanese founders had held onto their overseas subsidiaries. The main purpose of study is examined organizational culture, employee job satisfaction, and employee performance of Japanese PMA companies in Indonesia on employee retention. Eight Japanese companies were used as the sample, where 33 Japanese employees and 222 Indonesian employees were respondents. Theory Z is used to discuss organizational culture. The questionnaire was made in Indonesian, English, and Japanese. The research model uses a tiered structure model, while to test the proposed hypothesis, the SEM Lisrel 8.8 analysis technique is used. The main finding is the organizational culture of Japanese companies in Indonesia strongly influences job satisfaction, employee performance, and employee retention. Applying Japanese corporate culture shows that Japanese and Indonesian employees understand the company's core values. Employee performance can be realized by employees being able to understand the cultural values of the organization.
{"title":"Implementing Japanese PMA Organizational Culture in Indonesia impacts Employee Job Satisfaction, Employee Performance and Employee Retention of Japanese and Indonesian Employees","authors":"Martadinata Martadinata, E. Susanti, R. Anindita","doi":"10.46336/ijqrm.v3i3.329","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i3.329","url":null,"abstract":"The expansion of Japanese parent companies worldwide has forced them to carry the organizational culture that the Japanese founders had held onto their overseas subsidiaries. The main purpose of study is examined organizational culture, employee job satisfaction, and employee performance of Japanese PMA companies in Indonesia on employee retention. Eight Japanese companies were used as the sample, where 33 Japanese employees and 222 Indonesian employees were respondents. Theory Z is used to discuss organizational culture. The questionnaire was made in Indonesian, English, and Japanese. The research model uses a tiered structure model, while to test the proposed hypothesis, the SEM Lisrel 8.8 analysis technique is used. The main finding is the organizational culture of Japanese companies in Indonesia strongly influences job satisfaction, employee performance, and employee retention. Applying Japanese corporate culture shows that Japanese and Indonesian employees understand the company's core values. Employee performance can be realized by employees being able to understand the cultural values of the organization.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86880898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stock investment activities are inseparable from returns and risk, so an investor needs expertise to minimize investment risk. One way is by forming an optimal portfolio. The purpose of this research is to determine the number of stock lots in the optimal portfolio. This research analyzes the closing prices of stocks during the research period with the criteria of stocks being listed on the IDX30 index consecutively for 20 periods and belonging to the large cap group (the stock market capitalization exceeds $10 billion). Then the number of stock lots is calculated using the Markowitz model with stock lot constraints and target returns or without target returns. From the selected stocks, an optimal portfolio is formed using Microsoft Excel. Based on the research results, a combination of an optimal portfolio with a target return is ASII: 5, BBCA: 10, BBNI: 23, BBRI: 1, BMRI: 23, TLKM: 93, UNVR: 12, where the risk is 0,000149 and the target expected return is 0,00155. Meanwhile, the optimal portfolio without a target return is ASII: 8, BBCA: 7, BBNI: 32, BBRI: 40, BMRI: 9, TLKM: 62, UNVR: 17, where a risk is 0,000147 and the expected return is 0,00148. This research can be used as a consideration for investors in determining investment portfolios.
{"title":"Portfolio Analysis Using the Markowitz Model with Stock Lot Constraints and Target Returns or Without Target Returns","authors":"Asri Rula Hanifah, B. Subartini, S. Sukono","doi":"10.46336/ijqrm.v3i4.358","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i4.358","url":null,"abstract":"Stock investment activities are inseparable from returns and risk, so an investor needs expertise to minimize investment risk. One way is by forming an optimal portfolio. The purpose of this research is to determine the number of stock lots in the optimal portfolio. This research analyzes the closing prices of stocks during the research period with the criteria of stocks being listed on the IDX30 index consecutively for 20 periods and belonging to the large cap group (the stock market capitalization exceeds $10 billion). Then the number of stock lots is calculated using the Markowitz model with stock lot constraints and target returns or without target returns. From the selected stocks, an optimal portfolio is formed using Microsoft Excel. Based on the research results, a combination of an optimal portfolio with a target return is ASII: 5, BBCA: 10, BBNI: 23, BBRI: 1, BMRI: 23, TLKM: 93, UNVR: 12, where the risk is 0,000149 and the target expected return is 0,00155. Meanwhile, the optimal portfolio without a target return is ASII: 8, BBCA: 7, BBNI: 32, BBRI: 40, BMRI: 9, TLKM: 62, UNVR: 17, where a risk is 0,000147 and the expected return is 0,00148. This research can be used as a consideration for investors in determining investment portfolios.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88982140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nurul Tri Narlitasari, Riri Rioke, Wulan Setyani, Anisa Nurbayti, Agung Prabowo
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.
{"title":"CONSTRUCTION OF MORTALITY TABLES USING UNIFORMLY DISTRIBUTION OF DEATH AND CONSTANT FORCE BASED APPROACHES IN TMI 2019","authors":"Nurul Tri Narlitasari, Riri Rioke, Wulan Setyani, Anisa Nurbayti, Agung Prabowo","doi":"10.46336/ijqrm.v3i4.356","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i4.356","url":null,"abstract":"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.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83363835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Investment Portfolio Optimization Model with Mean-Std Deviation","authors":"Nurhadini Putri, M. Suyudi, I. Sulaiman","doi":"10.46336/ijqrm.v3i4.359","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i4.359","url":null,"abstract":"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.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"133 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79319802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
By looking at the extension of Hall's marriage theorem to harems, where some people are allowed to have more than one partner, Traditionally in harems any man can have multiple wives but no woman can have more than one husband. then consider the different types of matches by looking at 'round robin tournaments' in sports clubs. An unexpected connection between the two worlds emerged when we were able to use our harem results to deduce theorems about the tournament.
{"title":"Graph Models of Harems and Tournaments in Sports Clubs","authors":"M. Suyudi","doi":"10.46336/ijqrm.v3i4.378","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i4.378","url":null,"abstract":"By looking at the extension of Hall's marriage theorem to harems, where some people are allowed to have more than one partner, Traditionally in harems any man can have multiple wives but no woman can have more than one husband. then consider the different types of matches by looking at 'round robin tournaments' in sports clubs. An unexpected connection between the two worlds emerged when we were able to use our harem results to deduce theorems about the tournament.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"110 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87690555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Investment Portfolio Optimization With Mean-Variance Investment Portfolio Optimization Model Without Risk Free Assets","authors":"Wilda Nur Rahmalia, D. Susanti, R. A. Hidayana","doi":"10.46336/ijqrm.v3i4.360","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i4.360","url":null,"abstract":"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. ","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"122 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77713245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elsa Anna Pratiwi, Fitri Indah Ningtyas, Ratna Nur Aini Kamilia, Zahwa Aqila Nabilia Aqila Nabilia, Agung Prabowo
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's Law. In the results of the construction with de Moivre's 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's law, which is compared with the value in the 2019 TMI for men, the results tend to be the same.
{"title":"De Moivre Law Application for the Construction of Mortality Tables Based on Indonesian Mortality Tables 2019","authors":"Elsa Anna Pratiwi, Fitri Indah Ningtyas, Ratna Nur Aini Kamilia, Zahwa Aqila Nabilia Aqila Nabilia, Agung Prabowo","doi":"10.46336/ijqrm.v3i4.357","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i4.357","url":null,"abstract":"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's Law. In the results of the construction with de Moivre's 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's law, which is compared with the value in the 2019 TMI for men, the results tend to be the same.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76129890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Syifa Nur Rasikhah Daulay, N. Halim, R. A. Hidayana
Investment is an allocation of money, stocks, mutual funds, or other valuable resources provided by someone at the present time and held from being used until a specified period to get a profit (return). The higher the return received, the higher the risk. This study studied the Mean-Variance investment portfolio optimization model without risk-free assets to obtain the optimum portfolio. Five shares are used, namely BMRI, AMRT, SSMS, MLPT, and ANTM. The research results obtained optimal portfolio stocks with respective weights BMRI = 0.45741; AMRT=0.17852; SSMS=0.23300; MLPT=0.08475 and ANTM=0.04632. An optimal portfolio composition produces an average return = 0.00207 and variance = 0.00020.
{"title":"Investment Portfolio Optimization with a Mean-Variance Model Without Risk-Free Assets","authors":"Syifa Nur Rasikhah Daulay, N. Halim, R. A. Hidayana","doi":"10.46336/ijqrm.v3i3.345","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i3.345","url":null,"abstract":"Investment is an allocation of money, stocks, mutual funds, or other valuable resources provided by someone at the present time and held from being used until a specified period to get a profit (return). The higher the return received, the higher the risk. This study studied the Mean-Variance investment portfolio optimization model without risk-free assets to obtain the optimum portfolio. Five shares are used, namely BMRI, AMRT, SSMS, MLPT, and ANTM. The research results obtained optimal portfolio stocks with respective weights BMRI = 0.45741; AMRT=0.17852; SSMS=0.23300; MLPT=0.08475 and ANTM=0.04632. An optimal portfolio composition produces an average return = 0.00207 and variance = 0.00020.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86142114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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