Risk Analysis of the Chinese Financial Market with the Application of a Novel Hybrid Volatility Prediction Model
This paper endeavors to enhance the prediction of volatility in financial markets by developing a novel hybrid model that integrates generalized autoregressive conditional heteroskedasticity (GARCH) models and long short-term memory (LSTM) neural networks. Using high-frequency data, we first estimat...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/11/18/3937 |