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Research and Forecast Analysis of Financial Stability for Policy Uncertainty
The instability of financial market will have a great impact on money, bonds, and stocks and affect the economic development of society and people's lives. Therefore, it is very necessary for us to study and predict the financial stability. According to the forecast results, we will analyze and...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970902/ https://www.ncbi.nlm.nih.gov/pubmed/35371217 http://dx.doi.org/10.1155/2022/8799247 |
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author | Dai, Zhiyi Zhou, Zhengming |
author_facet | Dai, Zhiyi Zhou, Zhengming |
author_sort | Dai, Zhiyi |
collection | PubMed |
description | The instability of financial market will have a great impact on money, bonds, and stocks and affect the economic development of society and people's lives. Therefore, it is very necessary for us to study and predict the financial stability. According to the forecast results, we will analyze and make a series of preparatory measures. First, we make a series of analyses on the structure and significance of policy uncertainty and financial stability. This paper introduces the advantages and disadvantages of the P/L model, the KLS signal method, and the BP neural network model for financial stability early warning, It is clearly pointed out that the BP neural network is more reliable and accurate, Then, the BP neural network, the ant colony algorithm, and the genetic algorithm are used to predict the opening price, closing price, highest price, and lowest price of KDJ index of Cathay Pacific Group's 5-day data. Compared with the real value, we find that the BP neural network is almost the smallest in forecasting the opening price and closing price, or the lowest price and the highest price, and has good stability, which once again proves the feasibility of applying the BP neural network to the research and prediction of financial stability. |
format | Online Article Text |
id | pubmed-8970902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-89709022022-04-01 Research and Forecast Analysis of Financial Stability for Policy Uncertainty Dai, Zhiyi Zhou, Zhengming Comput Intell Neurosci Research Article The instability of financial market will have a great impact on money, bonds, and stocks and affect the economic development of society and people's lives. Therefore, it is very necessary for us to study and predict the financial stability. According to the forecast results, we will analyze and make a series of preparatory measures. First, we make a series of analyses on the structure and significance of policy uncertainty and financial stability. This paper introduces the advantages and disadvantages of the P/L model, the KLS signal method, and the BP neural network model for financial stability early warning, It is clearly pointed out that the BP neural network is more reliable and accurate, Then, the BP neural network, the ant colony algorithm, and the genetic algorithm are used to predict the opening price, closing price, highest price, and lowest price of KDJ index of Cathay Pacific Group's 5-day data. Compared with the real value, we find that the BP neural network is almost the smallest in forecasting the opening price and closing price, or the lowest price and the highest price, and has good stability, which once again proves the feasibility of applying the BP neural network to the research and prediction of financial stability. Hindawi 2022-03-24 /pmc/articles/PMC8970902/ /pubmed/35371217 http://dx.doi.org/10.1155/2022/8799247 Text en Copyright © 2022 Zhiyi Dai and Zhengming Zhou. 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 Dai, Zhiyi Zhou, Zhengming Research and Forecast Analysis of Financial Stability for Policy Uncertainty |
title | Research and Forecast Analysis of Financial Stability for Policy Uncertainty |
title_full | Research and Forecast Analysis of Financial Stability for Policy Uncertainty |
title_fullStr | Research and Forecast Analysis of Financial Stability for Policy Uncertainty |
title_full_unstemmed | Research and Forecast Analysis of Financial Stability for Policy Uncertainty |
title_short | Research and Forecast Analysis of Financial Stability for Policy Uncertainty |
title_sort | research and forecast analysis of financial stability for policy uncertainty |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970902/ https://www.ncbi.nlm.nih.gov/pubmed/35371217 http://dx.doi.org/10.1155/2022/8799247 |
work_keys_str_mv | AT daizhiyi researchandforecastanalysisoffinancialstabilityforpolicyuncertainty AT zhouzhengming researchandforecastanalysisoffinancialstabilityforpolicyuncertainty |