價值投資與資料探勘法在大數據分析之實證：以台灣股市連接器產業為例

A Comparison Study of Value Investment and Data Mining in Big Data Analysis: A Case study of Taiwan's Stock Market Connector Industry

萬絢(Shiuan Wan)；鄭育欣(Yu-Hsin Cheng)；陳韋翰(Wei-Han Chen)

價值投資 ； 資料探勘 ； 亂度基礎分類方法 ； Value investment ； Data Mining ； Entropy based classification

嶺東通識教育研究學刊

9卷1期（2021 / 02 / 01）

59 - 82

繁體中文

連接器產品泛指所有用在電子產品訊號與電源上的連接元件及其附屬配件，包括相關線材、插座、插頭等皆屬於廣義的連接器，連接器是互連部分可離合或替換的插接件，連結電子產品中的電路、模組及系統，也是所有電子產品的橋樑，其品質會對電流與訊號傳輸的可靠度產生影響，是台灣股市電子產業中很重要的一環。本研究以亂度基礎分類方法（Entropy based Classification）進行篩選績優股之方法，針對台灣已上市之連接器公司股票，蒐集其95年6月～96年6月股票之收盤價、市值、P/E（TSE）本益比、P/B股價淨值比、現金股利率、股東權益報酬率、稅前淨利成長率、EPS每股稅後盈餘等數據作為篩選的決策條件。先將其正規劃，利用if-then關係篩選出投資權重比例最重要的決策條件再加以分析歸納出值得投資之公司排名順序；同時，也利用巴菲特投資準則建立if-then關係篩選出投資權重比例條件，將雙方數據進行比對以評估此研究精確度，及挑選出最適合投資之股票。本文詳細說明了兩種不同理論的概念與架構流程，並比較其投資效益。

Connector products generally refer to all connecting components and accessories used in the signal and power supply of electronic products. It includes related wires, sockets, and plugs which all belong to the generalized connector. The connector is a device which the interconnection part can be separated or replaced. It connects circuits, modules and systems in electronic products that are also the bridges of all electronic products. Their quality will affect the reliability of current and signal transmission. It is a very important part of the electronics industry in Taiwan's stock market. This study used Entropy based Classification to screen high-quality stocks, and collects the closing price, market value, and P/E of the stocks of Taiwan's listed connector companies from June 1995 to June 1996. We employed the P/E ratio, P/B price-to-net value ratio, cash dividend rate, return on shareholder equity, pre-tax net profit growth rate, EPS after-tax earnings per share and other data are used as the selection decision-making conditions. In the first stage, we make the positive planning, use the if-then relationship to filter out the most important decision-making conditions for the investment weight ratio. Then, we analyzed and summarized the ranking order of companies worth investing. In the meantime, we use the Buffett investment rules to establish an if-then relationship to filter out the investment to compare the data of both parties to evaluate the accuracy of this research and select the most suitable stocks for investment. This article explains in detail the concepts and processes of two different theories, and compares the difference among investment benefits.

1. Bintara, R.,Wahyudi, S. M.,M.(2020).Analysis of Fundamental Factors on Stock Price.International Journal of Academic Research in Accounting, Finance and Management Sciences,9(4)
2. Shah, D.,Isah, H.,Zulkernine, F.(2019).Stock market analysis: A review and taxonomy of prediction techniques.International Journal of Financial Studies
3. Tawarish, M.,Satyanarayana, K.(2019).An enabling techn ique analysis in data mining for stock market trend by appr oaching genetic algorithm.International Journal of Advanced Trends in Computer Science and Engineering,8(1),27-33.
4. 周子元(2011)。國立台灣大學資訊管理研究所。
5. 林苑婷,呂孟凌,沈佩汶,林敬貞,張金玉,張雅婷(2019)。,國立虎尾科技大學資訊管理系。
6. 邱秋婷(2007)。國立中央大學資訊管理研究所。
7. 范揚明(2018)。國立暨南國際大學資訊管理研究所。
8. 張喬富(2015)。國立臺灣大學資訊管理研究所。
9. 莊政儒,丁一賢(2015)。,文化大學國際企業管理研究所。
10. 莊清焱(2007)。國立中央大學資訊管理研究所。
11. 郭文洋(2019)。明道管理學院管理研究所。
12. 陳伯仁(2002)。國立中央大學資訊管理研究所。
13. 陳柏翰(2018)。國立中央大資訊管理學系。
14. 黃國棟,許中川,黃金生(2018)。,國立雲林科技大學資訊管理所。
15. 錢善生(2011)。國立台灣大學資訊管理研究所。
16. 謝育龍(2014)。逢甲大學資訊電機工程在職專班。