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數(shù)據(jù)挖掘在股票分析中的應(yīng)用

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  本文關(guān)鍵詞: 數(shù)據(jù)挖掘 股票分析 MATLAB 出處:《復(fù)旦大學(xué)》2012年碩士論文 論文類型:學(xué)位論文


【摘要】:證券行業(yè)發(fā)展至今,每天都會產(chǎn)生海量數(shù)據(jù)。但是過去大部分券商都只注重新開戶的開發(fā),未予以重視,F(xiàn)在證券行業(yè)已接近飽和,競爭激烈,券商也漸漸將重心從挖掘新客戶轉(zhuǎn)向維護現(xiàn)有客戶。為客戶提供更高更好的服務(wù),從而擴大交易量,提升業(yè)績。投資顧問服務(wù)開始快速發(fā)展,目的就是為客戶提供高質(zhì)量的證券投資服務(wù)。股票市場受政治、經(jīng)濟和投資者心理等多種復(fù)雜因素的影響。雖然復(fù)雜,但是海量數(shù)據(jù)之中,進過分析簡化,仍能從中得到我們想要的規(guī)律模型。數(shù)據(jù)挖掘技術(shù)就是能夠?qū)崿F(xiàn)從海量數(shù)據(jù)中挖掘有用信息的新興技術(shù),歐美等金融發(fā)達地區(qū),都將廣泛應(yīng)用于投資建模中。利用數(shù)據(jù)挖掘技術(shù)建立有效的投資模型,從各種交易數(shù)據(jù)中,得出有效的投資信息,將其提供給客戶作為投資參考,從而提高服務(wù)質(zhì)量。 本文討論的主要是通過MATLAB工具,進行數(shù)據(jù)挖掘的分析,生成關(guān)于策略選股、資產(chǎn)組合風(fēng)險評估和股票走勢的有用信息。投資者可以根據(jù)這些信息,做出自己的投資決策,提高投資收益率
[Abstract]:The development of the securities industry up to now will produce massive data every day. But in the past most securities companies only pay attention to the development of new accounts and do not pay attention to it. Now the securities industry is close to saturation and fierce competition. Brokerage companies are also gradually shifting their focus from tapping new customers to maintaining existing customers, providing customers with higher and better services, thereby expanding trading volumes and improving performance. Investment advisory services have begun to grow rapidly. The purpose is to provide customers with high-quality securities investment services. The stock market is affected by many complex factors such as politics, economy and investor psychology. We can still get the law model we want. Data mining technology is a new technology that can mine useful information from massive data, such as Europe and the United States and other financial developed regions. It will be widely used in investment modeling. Using data mining technology to establish an effective investment model, from all kinds of transaction data, the effective investment information will be provided to clients as investment reference. Thus, the service quality is improved. This paper mainly discusses the analysis of data mining through MATLAB tools to generate useful information on strategic stock selection, portfolio risk assessment and stock trend. Investors can use this information. Make your own investment decisions and increase the return on investment
【學(xué)位授予單位】:復(fù)旦大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2012
【分類號】:TP311.13;F830.91

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