Two Branch Risk Factors Model for Stock Prediction

Chaochao Jia, Weimin Pan, Lixian Li
{"title":"Two Branch Risk Factors Model for Stock Prediction","authors":"Chaochao Jia, Weimin Pan, Lixian Li","doi":"10.1145/3459104.3459163","DOIUrl":null,"url":null,"abstract":"The fluctuation of stock market is affected by many factors, such as human psychology, macro-economy, operation state of listed companies and industry. These factors can be regarded as risk factors that affect the excess return of stocks. According to the Arbitrage Pricing Theory, excess return and risk are closely related, and the excess return of stock is brought by taking certain risks. With the development of Chinese stock market, more and more risk factors that affect stock return are quantified. Among them, technical factors and fundamental factors are the most important two categories. Technical factors mainly reflect the trend of stock price and the trading activity of the market. Fundamental factors mainly reflect the operation and profitability of listed companies. These two kinds of factors are also the most commonly used in the quantitative model. Based on these two kinds of factors, we proposed a two branch risk factors model, which can combine these two kinds of factors to select stocks.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Symposium on Electrical, Electronics and Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3459104.3459163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The fluctuation of stock market is affected by many factors, such as human psychology, macro-economy, operation state of listed companies and industry. These factors can be regarded as risk factors that affect the excess return of stocks. According to the Arbitrage Pricing Theory, excess return and risk are closely related, and the excess return of stock is brought by taking certain risks. With the development of Chinese stock market, more and more risk factors that affect stock return are quantified. Among them, technical factors and fundamental factors are the most important two categories. Technical factors mainly reflect the trend of stock price and the trading activity of the market. Fundamental factors mainly reflect the operation and profitability of listed companies. These two kinds of factors are also the most commonly used in the quantitative model. Based on these two kinds of factors, we proposed a two branch risk factors model, which can combine these two kinds of factors to select stocks.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
股票预测的两分支风险因素模型
股票市场的波动受多种因素的影响,如人的心理、宏观经济、上市公司和行业的运行状况等。这些因素可以看作是影响股票超额收益的风险因素。根据套利定价理论,超额收益与风险密切相关,股票的超额收益是通过承担一定的风险带来的。随着中国股票市场的发展,越来越多影响股票收益的风险因素被量化。其中,技术因素和基本面因素是最重要的两大类。技术因素主要反映股票价格的走势和市场的交易活动。基本面因素主要反映上市公司的经营状况和盈利能力。这两类因素也是定量模型中最常用的。基于这两类因素,我们提出了一个两分支风险因素模型,该模型可以将这两类因素结合起来进行股票选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Exploring the Integration of Blockchain Technology and IoT in a Smart University Application Architecture 3D Moving Rigid Body Localization in the Presence of Anchor Position Errors RANS/LES Simulation of Low-Frequency Flow Oscillations on a NACA0012 Airfoil Near Stall Tuning Language Representation Models for Classification of Turkish News Improving Consumer Experience for Medical Information Using Text Analytics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1