论文部分内容阅读
合理地对股票价格进行预测是众多股票研究者所追求的目标。而随着知识学习的不断深入,利用数学模型的方法进行股票价格预测近年来更加受到人们的关注。在研究股票市场时,我们常常利用马尔科夫链的方法预测股票价格趋势,以期为投资者及股票市场管理者提供一些决策依据。本文先向大家简单介绍了马尔科夫链,接着建立数学模型,并利用实例检验了所建立的马尔科夫链模型在进行股价预测时的可行性,为以后股价预测方面的研究提供借鉴。
Proper stock price forecasting is the target pursued by many stock researchers. With the continuous deepening of knowledge learning, the forecast of stock prices using mathematical models has drawn more attention in recent years. When studying the stock market, we often use the Markov chain method to predict the trend of the stock price, in order to provide investors and stock market managers with some decision-making basis. This paper briefly introduces Markov chain, and then establishes a mathematical model, and uses examples to test the feasibility of Markov chain model established in the stock price forecast, and provide reference for the future stock price prediction.