股票预测的两分支风险因素模型

Chaochao Jia, Weimin Pan, Lixian Li
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引用次数: 1

摘要

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。
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Two Branch Risk Factors Model for Stock Prediction
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.
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