Correlation Analysis of Interbank Money Market Interest Rate and Financial Crisis Based on Neural Network Model-Reference-Cited by-同舟云学术

Correlation Analysis of Interbank Money Market Interest Rate and Financial Crisis Based on Neural Network Model

Published:2022-05-27 Issue: Volume:2022 Page:1-11
ISSN:1939-0122
Container-title:Security and Communication Networks
language:en
Short-container-title:Security and Communication Networks

Author:

Zeng Xiaohua¹^ORCID,Yuan Chiping²^ORCID,Liang Changzhou¹^ORCID

Affiliation:

1. School of Economics and Trade, Guangzhou Xinhua University, Dongguan 523133, China

2. Lingnan College Sun Yat-Sen Universtiy, Guangzhou 510275, China

Abstract

This paper combines the neural network model to analyze the correlation between the interbank money market interest rate and the financial crisis, and theoretically analyzes the influence of the characteristics of the banking industry on the transmission of monetary policy interest rates. Moreover, this paper constructs a theoretical model to analyze the influence of banking industry characteristics on the transmission of monetary policy interest rate and examines whether the variables of banking industry characteristics still affect the measurement indicators of monetary policy interest rate transmission after the financial crisis subsides. In addition, this paper combines the neural network model to construct a correlation analysis system between the interbank money market interest rate and the financial crisis. The experimental research shows that the correlation analysis between the interbank money market interest rate and the financial crisis based on the neural network model proposed in this paper can play a certain role.

Funder

Administration of Quality and Technology Supervision of Guangdong Province

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Link

http://downloads.hindawi.com/journals/scn/2022/8807215.pdf

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1. Retracted: Correlation Analysis of Interbank Money Market Interest Rate and Financial Crisis Based on Neural Network Model;Security and Communication Networks;2023-07-12