Cargando…

System Dynamics Models of Online Lending Platform Based on Vensim Simulation Technology and Analysis of Interest Rate Evolution Trend

This paper mainly focuses on the construction of a system dynamics model of an online lending platform and the application of Vensim simulation technology in the analysis of the evolution trend of the investment interest rate. The system dynamics flow graph models of the investment subsystem, loan s...

Descripción completa

Detalles Bibliográficos
Autores principales: Pang, Sulin, Deng, Chao, Chen, Susong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381273/
https://www.ncbi.nlm.nih.gov/pubmed/35983144
http://dx.doi.org/10.1155/2022/9776138
_version_ 1784769043233767424
author Pang, Sulin
Deng, Chao
Chen, Susong
author_facet Pang, Sulin
Deng, Chao
Chen, Susong
author_sort Pang, Sulin
collection PubMed
description This paper mainly focuses on the construction of a system dynamics model of an online lending platform and the application of Vensim simulation technology in the analysis of the evolution trend of the investment interest rate. The system dynamics flow graph models of the investment subsystem, loan subsystem, and interest rate subsystem of the online lending platform were innovatively constructed; the level variable, flow rate variable, auxiliary variable, and mathematical relations between these variables as they relate to the platform were innovatively studied. Based on the key variables of the online lending platform, a system dynamics model of the online lending platform was innovatively constructed. The parameters were assigned using data from China's online lending industry, and the logical consistency, sensitivity, and validity of the simulation data of the system dynamics model were tested. Finally, we used Vensim simulation technology to simulate and analyze the impact of emergency scenarios on the interest rate evolution trend. Overall, this paper provides a scientific simulation technology and data analysis method for examining online lending platforms.
format Online
Article
Text
id pubmed-9381273
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-93812732022-08-17 System Dynamics Models of Online Lending Platform Based on Vensim Simulation Technology and Analysis of Interest Rate Evolution Trend Pang, Sulin Deng, Chao Chen, Susong Comput Intell Neurosci Research Article This paper mainly focuses on the construction of a system dynamics model of an online lending platform and the application of Vensim simulation technology in the analysis of the evolution trend of the investment interest rate. The system dynamics flow graph models of the investment subsystem, loan subsystem, and interest rate subsystem of the online lending platform were innovatively constructed; the level variable, flow rate variable, auxiliary variable, and mathematical relations between these variables as they relate to the platform were innovatively studied. Based on the key variables of the online lending platform, a system dynamics model of the online lending platform was innovatively constructed. The parameters were assigned using data from China's online lending industry, and the logical consistency, sensitivity, and validity of the simulation data of the system dynamics model were tested. Finally, we used Vensim simulation technology to simulate and analyze the impact of emergency scenarios on the interest rate evolution trend. Overall, this paper provides a scientific simulation technology and data analysis method for examining online lending platforms. Hindawi 2022-08-09 /pmc/articles/PMC9381273/ /pubmed/35983144 http://dx.doi.org/10.1155/2022/9776138 Text en Copyright © 2022 Sulin Pang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Pang, Sulin
Deng, Chao
Chen, Susong
System Dynamics Models of Online Lending Platform Based on Vensim Simulation Technology and Analysis of Interest Rate Evolution Trend
title System Dynamics Models of Online Lending Platform Based on Vensim Simulation Technology and Analysis of Interest Rate Evolution Trend
title_full System Dynamics Models of Online Lending Platform Based on Vensim Simulation Technology and Analysis of Interest Rate Evolution Trend
title_fullStr System Dynamics Models of Online Lending Platform Based on Vensim Simulation Technology and Analysis of Interest Rate Evolution Trend
title_full_unstemmed System Dynamics Models of Online Lending Platform Based on Vensim Simulation Technology and Analysis of Interest Rate Evolution Trend
title_short System Dynamics Models of Online Lending Platform Based on Vensim Simulation Technology and Analysis of Interest Rate Evolution Trend
title_sort system dynamics models of online lending platform based on vensim simulation technology and analysis of interest rate evolution trend
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381273/
https://www.ncbi.nlm.nih.gov/pubmed/35983144
http://dx.doi.org/10.1155/2022/9776138
work_keys_str_mv AT pangsulin systemdynamicsmodelsofonlinelendingplatformbasedonvensimsimulationtechnologyandanalysisofinterestrateevolutiontrend
AT dengchao systemdynamicsmodelsofonlinelendingplatformbasedonvensimsimulationtechnologyandanalysisofinterestrateevolutiontrend
AT chensusong systemdynamicsmodelsofonlinelendingplatformbasedonvensimsimulationtechnologyandanalysisofinterestrateevolutiontrend