Research Article
Stock Investment Value Analysis Model About Carbon Neutrality Based on Analytic Hierarchy Process
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322750, author={Yidan Kou}, title={Stock Investment Value Analysis Model About Carbon Neutrality Based on Analytic Hierarchy Process}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={carbon neutrality analytic hierarchy process stock investment decision judgment matrix}, doi={10.4108/eai.17-6-2022.2322750} }- Yidan Kou
Year: 2022
Stock Investment Value Analysis Model About Carbon Neutrality Based on Analytic Hierarchy Process
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322750
Abstract
In the first half of 2021, The Chinese government frequently issued new policies to crack down on large companies in various industries, leading to volatility in the stock market. This article qualitatively analyzes the current Chinese policies through the concept of deep learning algorithm and quantitatively analyzes the data of each stock by using analytic hierarchy process. By extracting information from the judgment matrix, AHP provides a framework for investors to analyze various investment factors, evaluate stock investment options and make final investment choices. The main principle of this method is to match decision-makers' preferences with stock characteristics. The model requires presenting a number of potential options and then evaluating and comparing alternatives against a variety of factors. It allows investors to take personal preferences and judgment into account in the process of solving problems. Through analysis and calculation, this article gives 10 stocks suitable for investment in Chinese stock market at this stage.