本文選題：財(cái)經(jīng)資訊 + 多維　； 參考：《北京交通大學(xué)》2014年碩士論文

【摘要】：隨著互聯(lián)網(wǎng)技術(shù)的發(fā)展,資訊量迅速膨脹,海量的財(cái)經(jīng)資訊里既包含著有價(jià)值的信息,又有大量無(wú)用和干擾信息。利用相關(guān)技術(shù)實(shí)時(shí)采集、處理和多維分類聚合資訊,提取有用信息來(lái)指導(dǎo)人們的投資決策是未來(lái)的發(fā)展趨勢(shì)。本文采用理論和實(shí)證相結(jié)合的方法通過(guò)多維分類聚合技術(shù),系統(tǒng)地研究了互聯(lián)網(wǎng)財(cái)經(jīng)資訊對(duì)中國(guó)股票市場(chǎng)價(jià)格走勢(shì)的影響,通過(guò)對(duì)于股市價(jià)格走勢(shì)的判斷來(lái)指導(dǎo)幫助投資者在股市投資中做出正確的決策。 文章提出了以下思想：資訊的異動(dòng)和市場(chǎng)的人氣會(huì)決定流動(dòng)性好的股票的買賣機(jī)會(huì)。通過(guò)對(duì)資訊的分類聚合和數(shù)量化統(tǒng)計(jì),研究了媒體關(guān)注度和股吧人氣指標(biāo),可以發(fā)現(xiàn)市場(chǎng)關(guān)注熱點(diǎn),輕松跟蹤熱點(diǎn)板塊和熱門股票。 首先,文章分析了互聯(lián)網(wǎng)財(cái)經(jīng)資訊的市場(chǎng)現(xiàn)狀,闡述了目前財(cái)經(jīng)資訊市場(chǎng)的背景、投資者獲取資訊的方式,以及存在的缺陷。然后,詳細(xì)介紹了財(cái)經(jīng)資訊多維分類聚合的實(shí)現(xiàn)過(guò)程,對(duì)財(cái)經(jīng)資訊的采集、分析、結(jié)構(gòu)化和分類處理的過(guò)程都做了進(jìn)一步的分析,并根據(jù)道氏理論、空間信息理論以及資訊文本分類的理論知識(shí),利用互聯(lián)網(wǎng)資訊多維分類聚合技術(shù),對(duì)大盤、行業(yè)、板塊和個(gè)股資訊進(jìn)行了多角度解讀；通過(guò)分析博弈市場(chǎng)下的資訊,給出相應(yīng)的股價(jià)趨勢(shì)判斷,使得投資者有能力把握投資機(jī)會(huì)。最后,文章運(yùn)用財(cái)經(jīng)資訊多維分類聚合技術(shù)從股市中選取了三支股票,并研究了資訊趨勢(shì)、人氣熱度和資訊多空信息對(duì)股票買賣決策的影響,根據(jù)多維分類聚合結(jié)果得到相應(yīng)上市公司短期股價(jià)趨勢(shì)的發(fā)展變化方向,對(duì)買入賣出點(diǎn)進(jìn)行分析。 實(shí)證分析表明,資訊傳播趨勢(shì)和媒體、股吧多空分析會(huì)發(fā)現(xiàn)并預(yù)測(cè)股價(jià)的反轉(zhuǎn)和走勢(shì),通過(guò)對(duì)互聯(lián)網(wǎng)財(cái)經(jīng)資訊的多維分類聚合分析,可以指導(dǎo)投資者在股市中的投資行為。
[Abstract]:With the development of Internet technology, the amount of information expands rapidly. The massive financial information contains not only valuable information, but also a large amount of useless and interfering information.It is the trend of future development to collect, process and aggregate information in real time with relevant technology, and extract useful information to guide people's investment decision.In this paper, the influence of Internet financial information on the price trend of Chinese stock market is systematically studied by means of multi-dimensional classification and aggregation, which is based on the combination of theory and practice.To guide investors to make the right decision in stock market investment by judging the stock market price trend.This paper puts forward the following idea: the change of information and market sentiment will determine the trading opportunities of liquid stocks.By classifying and aggregating the information and quantifying statistics, the paper studies the media attention and the index of stock popularity. It can find the hot spot of market, track the hot spot and hot stock easily.First of all, the paper analyzes the current situation of the Internet financial information market, expounds the background of the current financial information market, the way for investors to obtain information, and the shortcomings.Then, the realization process of multi-dimensional classification aggregation of financial information is introduced in detail. The process of collecting, analyzing, structuring and classifying financial information is further analyzed, and according to Dow theory,The spatial information theory and the theoretical knowledge of information text classification, using the technology of multi-dimensional classification and aggregation of Internet information, have made a multi-angle interpretation of the market, industry, sector and stock information; through the analysis of the information in the game market,Give the corresponding stock price trend judgment, make the investor have the ability to grasp the investment opportunity.Finally, the paper selects three stocks from the stock market by using the multi-dimensional classification and aggregation technology of financial information, and studies the influence of information trends, popularity heat and information multi-space information on stock trading decisions.According to the multi-dimensional classification and aggregation results, the trends of short-term stock price trends of listed companies are obtained, and the buying and selling points are analyzed.The empirical analysis shows that the trend of information dissemination and the analysis of media and stock bar are able to find and predict the reversal and trend of stock price. Through the multi-dimensional clustering analysis of financial and financial information on the Internet, investors can be guided to invest in the stock market.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F832.51

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相關(guān)博士學(xué)位論文 前1條

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本文編號(hào)：1742333