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

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,...

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Bibliographic Details
Published in:Security and communication networks 2022-05, Vol.2022, p.1-11
Main Authors: Zeng, Xiaohua, Yuan, Chiping, Liang, Changzhou
Format: Article
Language:English
Subjects:
Banking
Banking industry
Central banks
Commercial banks
Correlation analysis
Developing countries
Economic crisis
Financial institutions
Financial services
Interest rates
LDCs
Liberalization
Loans
Macroeconomics
Monetary policy
Money markets
Neural networks
Prices
Profits
Supply & demand
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Summary: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.
ISSN:1939-0114
1939-0122
DOI:10.1155/2022/8807215