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研究生:呂長霖
研究生(外文):Chang-LinLu
論文名稱:基本分析為基之股票預測方法研發
論文名稱(外文):Development of a Fundamental Analysis-based Method for Stock Market Forecasting
指導教授:陳裕民陳裕民引用關係
指導教授(外文):Yuh-Min Chen
學位類別:碩士
校院名稱:國立成功大學
系所名稱:製造資訊與系統研究所碩博士班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:60
中文關鍵詞:基本分析多目標決策分析文字探勘機器學習
外文關鍵詞:Fundamental AnalysisMultiple Criteria Decision MakingText MiningMachine Learning
相關次數:
  • 被引用被引用:9
  • 點閱點閱:537
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
股票投資是一高風險之活動,若股票投資者對影響股價變動因素考慮不周及無良好的專業知識與經驗而導致決策錯誤,將會造成血本無歸的情形,因此,為使投資者獲利,市場上有許多方法以預測股票未來走勢,但因為股票市場的不確定性,預測結果常常與實際走勢有落差,因此如何準確的預測個股股價未來走勢一直是股票市場中研究的議題之一。
本研究主要目的為研發一套以基本分析為基之股票預測方法,將個股財務狀況、產業環境、總體經濟與財經新聞做為考量因素,從股票市場中選出體質較佳之個股並預測其股價未來趨勢,最後將預測結果提供給投資者以做為投資決策時之參考。針對上述目的本研究主要研究項目包括:(i) 基本分析為基之股票預測流程設計,(ii) 基本分析為基之股票預測方法發展以及(iii) 基本分析為基之股票預測方法驗證與比較。其中,基本分析為基之股票預測方法包括個股財務指標權重計算方法、個股投資評估方法、財經新聞特徵選取方法、財經新聞預測方法與個股股價預測方法。
Stock investment is a high-risk activity, it will have large losses by wrong decisions if investors ill-considered the impact of stock or haven’t professional knowledge and experience. Therefore, it’s many methods to forecast the stock price trend in order to have more profit for investors in stock market. However, it’s often have gap with actual stock price trend. For this reason it has been one of the topics of research that how to accurately forecast stock price trend in the stock market.
Our research propose is development of a fundamental analysis based method for stock market forecasting, considering the influencing factors that including stock financial indicators, environments, macroeconomics and financial news to select more betters’ stock and prediction the stock price trend. Our research topic including: (1) Design of a fundamental analysis-based stock prediction method procedures; (2) Development of a fundamental analysis-based stock prediction method procedures; (3) Measuring and comparison of a fundamental analysis-based stock prediction method procedures.
摘要 I
Abstract II
誌謝 III
目錄 IV
表目錄 VI
圖目錄 VII
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機 1
1.3 研究目的 2
1.4 問題分析 2
1.5 研究項目與方法 3
1.6 研究發展程序 5
1.7 研究限制 7
第二章 文獻探討 8
2.1 股票投資決策理論 8
2.2 股票市場走勢分析 9
2.2.1 效率市場假說 9
2.2.2 基本分析 10
2.2.3 技術分析 11
2.3 股票投資預測 11
2.3.1 多目標決策分析 12
2.3.1.1 資料包絡分析 12
2.3.1.2 灰色理論 13
2.3.2 機器學習 14
2.3.2.1 基因演算法 14
2.3.2.2 簡易貝氏分類器 15
2.3.2.3 支援向量機 15
2.3.2.4 集成學習 16
2.3.3 文字探勘 17
第三章 股票投資之決策支援模式設計 19
3.1 股票投資之決策支援模式 19
3.2 股票投資之決策支援流程 20
第四章 基本分析為基之股票預測方法發展 23
4.1 基本分析為基之股票預測程序 23
4.2 個股財務指標權重計算 24
4.3 個股投資評估 27
4.4 財經新聞特徵選取 28
4.5 財經新聞預測 32
4.6 個股股價預測 35
第五章 基本分析為基之股票預測方法驗證 41
5.1 股票預測方法可行性驗證 41
5.2 股票預測方法準確度評估與比較 52
第六章 結論與未來研究方向 55
6.1 結果與貢獻 55
6.2 未來研究方向 56
參考文獻 58
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