{"title":"考虑储蓄和债务转移因素的银行间存贷款Logistic模型","authors":"Moch. Fandi Ansori, K. A. Sidarto, N. Sumarti","doi":"10.1063/1.5139148","DOIUrl":null,"url":null,"abstract":"In this paper, we propose mathematical models to describe the behavior of deposit and loan volumes between two banks via logistic model. There are four models that represent the combination of saving and debt transfer between two banks. The parameters values of each model are estimated using the spiral optimization algorithm based on monthly data on deposit and loan volumes of two groups of commercial banks in Indonesia. The results give the solution of the models that can fit the data well. In the long run, the amount of deposit and loan will go to their equilibrium values but each model has different behaviors due to the impact of the transfer factors.In this paper, we propose mathematical models to describe the behavior of deposit and loan volumes between two banks via logistic model. There are four models that represent the combination of saving and debt transfer between two banks. The parameters values of each model are estimated using the spiral optimization algorithm based on monthly data on deposit and loan volumes of two groups of commercial banks in Indonesia. The results give the solution of the models that can fit the data well. In the long run, the amount of deposit and loan will go to their equilibrium values but each model has different behaviors due to the impact of the transfer factors.","PeriodicalId":209108,"journal":{"name":"PROCEEDINGS OF THE 8TH SEAMS-UGM INTERNATIONAL CONFERENCE ON MATHEMATICS AND ITS APPLICATIONS 2019: Deepening Mathematical Concepts for Wider Application through Multidisciplinary Research and Industries Collaborations","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Logistic models of deposit and loan between two banks with saving and debt transfer factors\",\"authors\":\"Moch. Fandi Ansori, K. A. Sidarto, N. Sumarti\",\"doi\":\"10.1063/1.5139148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose mathematical models to describe the behavior of deposit and loan volumes between two banks via logistic model. There are four models that represent the combination of saving and debt transfer between two banks. The parameters values of each model are estimated using the spiral optimization algorithm based on monthly data on deposit and loan volumes of two groups of commercial banks in Indonesia. The results give the solution of the models that can fit the data well. In the long run, the amount of deposit and loan will go to their equilibrium values but each model has different behaviors due to the impact of the transfer factors.In this paper, we propose mathematical models to describe the behavior of deposit and loan volumes between two banks via logistic model. There are four models that represent the combination of saving and debt transfer between two banks. The parameters values of each model are estimated using the spiral optimization algorithm based on monthly data on deposit and loan volumes of two groups of commercial banks in Indonesia. The results give the solution of the models that can fit the data well. In the long run, the amount of deposit and loan will go to their equilibrium values but each model has different behaviors due to the impact of the transfer factors.\",\"PeriodicalId\":209108,\"journal\":{\"name\":\"PROCEEDINGS OF THE 8TH SEAMS-UGM INTERNATIONAL CONFERENCE ON MATHEMATICS AND ITS APPLICATIONS 2019: Deepening Mathematical Concepts for Wider Application through Multidisciplinary Research and Industries Collaborations\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PROCEEDINGS OF THE 8TH SEAMS-UGM INTERNATIONAL CONFERENCE ON MATHEMATICS AND ITS APPLICATIONS 2019: Deepening Mathematical Concepts for Wider Application through Multidisciplinary Research and Industries Collaborations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1063/1.5139148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PROCEEDINGS OF THE 8TH SEAMS-UGM INTERNATIONAL CONFERENCE ON MATHEMATICS AND ITS APPLICATIONS 2019: Deepening Mathematical Concepts for Wider Application through Multidisciplinary Research and Industries Collaborations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1063/1.5139148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Logistic models of deposit and loan between two banks with saving and debt transfer factors
In this paper, we propose mathematical models to describe the behavior of deposit and loan volumes between two banks via logistic model. There are four models that represent the combination of saving and debt transfer between two banks. The parameters values of each model are estimated using the spiral optimization algorithm based on monthly data on deposit and loan volumes of two groups of commercial banks in Indonesia. The results give the solution of the models that can fit the data well. In the long run, the amount of deposit and loan will go to their equilibrium values but each model has different behaviors due to the impact of the transfer factors.In this paper, we propose mathematical models to describe the behavior of deposit and loan volumes between two banks via logistic model. There are four models that represent the combination of saving and debt transfer between two banks. The parameters values of each model are estimated using the spiral optimization algorithm based on monthly data on deposit and loan volumes of two groups of commercial banks in Indonesia. The results give the solution of the models that can fit the data well. In the long run, the amount of deposit and loan will go to their equilibrium values but each model has different behaviors due to the impact of the transfer factors.