A review of hybrid models in stock price forecasting models

Anqi Shao

doi:10.47297/wspceWSP2516-251922.20250902

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A review of hybrid models in stock price forecasting models

9卷第2期

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A review of hybrid models in stock price forecasting models
A review of hybrid models in stock price forecasting models
Major of Economics, Chongqing University, Chongqing, China 400044
2025年9卷第2期页码：130-132
纸质出版日期：2025-04-28
DOI：10.47297/wspceWSP2516-251922.20250902
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(2025). A review of hybrid models in stock price forecasting models. 创意经济（英文版）, 9(2), 130-132.

Shao Anqi.A review of hybrid models in stock price forecasting models[J].Creative Economy,2025,09(02):130-132.
(2025). A review of hybrid models in stock price forecasting models. 创意经济（英文版）, 9(2), 130-132. DOI： 10.47297/wspceWSP2516-251922.20250902.

Shao Anqi.A review of hybrid models in stock price forecasting models[J].Creative Economy,2025,09(02):130-132. DOI： 10.47297/wspceWSP2516-251922.20250902.

摘要

Abstract

With the increasing complexity and uncertainty of financial markets

traditional single forecasting models can no longer meet the needs of accurate forecasting. Hybrid models show significant advantages in stock price forecasting by integrating the advantages of multiple algorithms. This paper elaborates on the development process of traditional forecasting models and hybrid models

reviews the research progress of hybrid models in the field of stock price forecasting

and focuses on the application of hybrid models in stock price forecasting and their advantages and disadvantages. It is found that it can improve the accuracy of prediction

improve the applicability and reliability of the model in different scenarios

and improve the robustness and stability of the model

but it also faces challenges such as complex construction and optimization process. The purpose of this study is to provide a scientific basis for investors to make decisions

to provide a basis for policymakers to improve relevant laws and regulations

and to point out the future direction of academic research.

关键词

Keywords

references

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Research on Stock Price Forecasting Model based on BiLSTM-SVR-based Hybrid Model

Related Author

Songlin Zhang Department of Mathematics and Statistics Chongqing Technology and Business University,Chongqing 400067, P. R.China

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Department of Mathematics and Statistics Chongqing Technology and Business University,Chongqing 400067, P. R.China

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