政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/111329
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113311/144292 (79%)
Visitors : 50936471      Online Users : 960
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/111329


    Title: 利用籌碼面分析與關聯規則建構最適投資組合
    Using chip factors analysis and association rule to construct the optimal asset allocation process
    Authors: 張家瑋
    Chang, Chia Wei
    Contributors: 黃泓智
    張家瑋
    Chang, Chia Wei
    Keywords: 基本面分析
    籌碼面
    三大法人
    關聯規則
    資料探勘
    Date: 2017
    Issue Date: 2017-07-24 12:05:27 (UTC+8)
    Abstract: 本論文將以籌碼面分析為主體進行資產配置流程,首先,透過第一階段基本面的兩個因子,自由現金流收益率(FCFY)與總資產報酬率(ROA)進行初次篩選,在第二階段篩選的部分,將以籌碼面資料與關聯規則,試圖找出影響股價漲跌的籌碼面因子,並將所有可用的資訊轉換成提升報酬率的訊息,進而增加投資組合的績效。在進行籌碼面與關聯規則後,當第一次篩選條件為FCFY(0.3) & ROA(0.3),設定支持度0.4、信賴度0.8,且每隔10個交易日更換投資組合,此時能有最佳的投資組合年化報酬率42.15%。
    Reference: 1.王月玲(2002),外資對台灣股市的影響,國立政治大學碩士論文。
    2.林淑芬(2010),外資投資行為對台灣50基金主要成分股報酬率的影響,樹德科技大學碩士論文。
    3.李家政(2009),利用關聯法則分析個股之間的關聯性,大同大學碩士論文。
    4.查欣瑜(2011),法人籌碼對台股未來走勢影響之研究,國立交通大學碩士論文。
    5.侯宏孺(2009),以分類與關聯分析建立選股模型─台灣股市之實證研究,中華大學碩士論文。
    6.陳彬洲(2015),基本面、籌碼面與總體面對股票報酬影響,亞洲大學系碩士論文。
    7.陳彥豪(2002),外資與投信法人持股比率變化對股價報酬率影響之研究-以上市電子股為例,國立中山大學碩士論文。
    8.郭維裕(2004),市場情緒和基本面對短期股價可預測性之影響,國家科學委員會專題研究計畫。
    9.張萬鈞(2008),以分類、迴歸、聚類、關聯四種資料探勘方法建立選股模型─台灣股市之實證研究,中華大學碩士論文。
    10.黃祺敦(2012),運用當日籌碼面變數預測隔日股價方向,國立中正大學碩士論文。
    11.葉怡成、林文盟(2007),上市公司間股價漲跌之關聯與預測-關聯探勘之研究,商管科技季刊。
    12.鄧德倫(2009),使用APRIORI與HMETIS演算法找出股票市場的群組關係,輔仁大學碩士論文。
    13.蕭鈞銓(2016),以基本面分析建構最適資產配置流程,國立政治大學碩士論文。
    14.謝宏鑫(2009),考量投資標的基本面、技術面分析並運用遺傳基因演算法決定最佳投資組合,國立台北大學碩士論文。
    15.何宗武(2016)。R資料採礦與數據分析:以GUI套件Rattle結合程式語言實作。台北:碁峰資訊。
    16.李仁鐘(2015)。應用R語言於資料分析:從機器學習、資料探勘到巨量資料。台北:松崗資產管理。
    17.Abarbanell, Jeffery S., and Brian J. Bushee. "Abnormal returns to a fundamental analysis strategy." Accounting Review (1998): 19-45.
    18.Agrawal, Rakesh, and Ramakrishnan Srikant. "Fast algorithms for mining association rules." Proc. 20th int. conf. very large data bases, VLDB. Vol. 1215. 1994.
    19.Agrawal, Rakesh, Tomasz Imieliński, and Arun Swami. "Mining association rules between sets of items in large databases." Acm sigmod record. Vol. 22. No. 2. ACM, 1993.
    20.Basu, Sanjoy. "The relationship between earnings` yield, market value and return for NYSE common stocks: Further evidence." Journal of financial economics 12.1 (1983): 129-156.
    21.Dowen, Richard J. "Fundamental information and monetary policy: The implications for earnings and earnings forecasts." Journal of Business Finance & Accounting 28.3‐4 (2001): 481-501.
    22.Fama, Eugene F., and Kenneth R. French. "The cross‐section of expected stock returns." the Journal of Finance 47.2 (1992): 427-465.
    23.Hajizadeh, Ehsan, Hamed Davari Ardakani, and Jamal Shahrabi. "Application of data mining techniques in stock markets: A survey." Journal of Economics and International Finance 2.7 (2010): 109.
    24.Liao, Shu-Hsien, Hsu-hui Ho, and Hui-wen Lin. "Mining stock category association and cluster on Taiwan stock market." Expert Systems with Applications 35.1 (2008): 19-29.
    25.Lu, Chi-Lin, and Ta-Cheng Chen. "A study of applying data mining approach to the information disclosure for Taiwan’s stock market investors." Expert systems with applications 36.2 (2009): 3536-3542.
    26.Lev, Baruch, and S. Ramu Thiagarajan. "Fundamental information analysis." Journal of Accounting research (1993): 190-215.
    27.Mittermayer, M-A. "Forecasting intraday stock price trends with text mining techniques." system sciences, 2004. proceedings of the 37th annual hawaii international conference on. IEEE, 2004.
    28.Na, Sung Hoon, and So Young Sohn. "Forecasting changes in Korea composite stock price index (KOSPI) using association rules." Expert Systems with Applications 38.7 (2011): 9046-9049.
    29.Paranjape-Voditel, Preeti, and Umesh Deshpande. "A stock market portfolio recommender system based on association rule mining." Applied Soft Computing 13.2 (2013): 1055-1063.
    30.Sharma, Meena, and Preeti Sharma. "Prediction of Stock Returns for Growth Firms—A Fundamental Analysis." Vision: The Journal of Business Perspective 13.3 (2009): 31-40.
    31.Seng, Dyna, and Jason R. Hancock. "Fundamental analysis and the prediction of earnings." International Journal of Business and management 7.3 (2012): 32.
    32.Tan, Pang-Ning, Vipin Kumar, and Jaideep Srivastava. "Selecting the right interestingness measure for association patterns." Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2002.
    Description: 碩士
    國立政治大學
    風險管理與保險學系
    104358014
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0104358014
    Data Type: thesis
    Appears in Collections:[Department of Risk Management and Insurance] Theses

    Files in This Item:

    There are no files associated with this item.



    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback