| 研究生: |
游懷賢 Yu, Huai-Shian |
|---|---|
| 論文名稱: |
賭徒謬誤對台股投資者的績效影響 The Impact of the Gambler's Fallacy on Investor Performance in the Taiwan Market |
| 指導教授: |
周冠男
Chou, Robin K. |
| 口試委員: |
周冠男
Chou, Robin K. 盧建霖 Lu, Chien-Lin 林智勇 Lin, Chih-Yung |
| 學位類別: |
碩士
Master |
| 系所名稱: |
商學院 - 財務管理學系 Department of Finance |
| 論文出版年: | 2025 |
| 畢業學年度: | 113 |
| 語文別: | 英文 |
| 論文頁數: | 28 |
| 中文關鍵詞: | 賭徒謬誤 、小數法則 、台灣股票市場 |
| 外文關鍵詞: | Gambler’s Fallacy, Law of Small Numbers, Taiwan Stock Market |
| 相關次數: | 點閱:69 下載:0 |
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本研究探討賭徒謬誤對一般投資人財富累積的負面影響,選取台灣市值前五百大的上市公司,剔除資料不足者後,以360檔個股共186,120筆週資料分析,期間為2015年1月1日至2024年12月31日。研究首先提及過去國內文獻中較少著墨的賭徒謬誤及熱手效應等心理偏誤,並說明背後的小數法則信仰,解析人們對機率事件的錯誤判斷,及此偏誤如何導致投資人錯誤預測股價走勢,相信檯面上的財經專家有此種預測能力,進而被傾銷一些無用的資訊。
根據台灣證券交易所(2023)資料,散戶約占市場交易量70%以上,散戶心理偏誤與行為對市場影響顯著,但他們多缺乏系統性投資策略,受到賭徒謬誤等心理因素左右,導致錯誤的交易判斷與決策。
本研究使用過去十年的股價週資料進行投資策略回測,以受賭徒行為影響的投資人(簡稱賭徒)、持續買入的投資人(簡稱買家),以及完全隨機買入或放空的投資人三者,比較其累積損益。回測結果發現:第一,以台灣股市大樣本資料分析,賭徒與隨機投資人幾乎獲得零收益,顯著低於買家的簡單買進策略,而將樣本縮減至成交量較大的前一百大公司後,雖然賭徒顯著有正收益,但仍遠遠落後買家的報酬。第二,不同於其他文獻在美股市場的研究,台灣各類產業並未出現賭徒策略有效的現象,僅在醫療產業因單一股票極端值的影響,買家產生負收益,才有賭徒高於買家的結果。
因此,結果顯示台灣股票市場仍存在一定程度的效率,股價整體呈現長期增長的隨機漫步,對於資訊與技術都不如專業機構的散戶投資人而言,簡單累積財富的方式應該是持續、長期買入股票,不以個人認知去預測未來股票走勢,擇時買入或賣出。
This study investigates the negative impact of the gambler’s fallacy on individual investors’ wealth accumulation. The sample consists of the top 500 listed companies by market capitalization in the Taiwan Stock Exchange, excluding those with insufficient data, resulting in 186,120 weekly observations from 360 stocks between January 1, 2015, and December 31, 2024. The study first addresses psychological biases such as the gambler’s fallacy and the hot-hand effect, which have been less explored in domestic literature. It explains the underlying belief in the law of small numbers, which causes individuals to frequently misjudge probabilistic events. Such biases can lead investors to erroneously believe they can consistently predict future stock price movements or trust that financial experts possess such forecasting ability, thereby being misled by irrelevant information.
According to the Taiwan Stock Exchange (2023), retail investors account for over 70% of the market’s trading volume. Their psychological biases and behaviors significantly influence the market. However, these investors generally lack systematic investment strategies and are susceptible to biases like the gambler’s fallacy, resulting in flawed trading decisions.
Using historical weekly stock data over the past decade, this study conducts backtests on three investment strategies: investors influenced by gambler’s behavior (“gamblers”), consistent buyers who purchase stocks every week (“buyers”), and completely random investors who buy or short without predictive logic (“random”). The results reveal: First, in a large-scale sample of the Taiwan stock market, gamblers and random investors achieved near-zero returns, significantly underperforming buyers’ simple buy-and-hold strategy. When the sample is narrowed to the top 100 stocks by trading volume, gamblers show significant positive returns but still lag far behind buyers. Second, unlike findings from studies of the U.S. market, the gambler’s strategy does not demonstrate consistent effectiveness across Taiwanese industries. Only in the healthcare sector did gamblers outperform buyers, due to buyers experiencing negative returns influenced by extreme values in individual stocks.
Overall, these findings suggest that the Taiwan stock market retains a certain degree of efficiency, with stock prices following a long-term upward random walk. For retail investors who lack the information and expertise of professional institutions, a straightforward and consistent long-term buying approach remains the most reliable strategy for wealth accumulation, rather than attempting to time the market or predict stock price movements based on personal beliefs.
1. Introduction 1
2. Literature and Hypothesis 4
2.1 The Gambler’s Fallacy 4
2.2 The Law of Small Numbers 5
2.3 The Impact on Investment Behavior 7
2.4 Hypothesis Development 8
3. Data and methodology 10
3.1 Sample selection 10
3.2 Simulation method 10
3.3 Description of investors 11
3.3.1 Random Investor 11
3.3.2 Gambler 12
3.3.3 Buyer 14
3.4 Rules of simulation 14
4. Empirical Result 16
4.1 Theory 16
4.2 Result 18
4.3 Frequency Analysis 21
4.4 Industry Characteristics 23
4.5 Empirical Findings 24
5. Conclusion 26
Reference 27
A. Tversky, D. Kahneman. (1983). Extensional Versus Intuitive Reasoning: The Conjunction Fallacy in Probability Judgment. Psychological Review
Ayton, Peter & Ilan, Fischer. (2004). The Hot Hand Fallacy and the Gambler’s Fallacy: Two faces of Subjective Randomness?. Memory & cognition. 32. 1369–78.
Boynton, D. M. (2003). “Superstitious responding and frequency matching in the positive bias and Gambler’s Fallacy effects.” Organizational Behavior and Human Decision Processes 91(2): pp. 119–127.
Burns, B. D.,Corpus, B. (2004). Randomness and inductions from streaks: “Gambler's fallacy” versus “Hot hand”. Psychonomic Bulletin & Review.11,179-184.
Barron, G. & S. Leider. (2010). “The role of experience in the Gambler’s Fallacy.” Journal of Behavioral Decision Making 23: pp. 117 – 129.
Croson, R.,Sundali, J. (2005). The gambler's fallacy and the hot hand: Empirical data from casinos. Journal of Risk and Uncertainty.30,195-209.
Gilovich, T., Vallone, R., & Tversky, A. (1985). The hot hand in basketball: On the misperception of random sequences. Cognitive Psychology, 17(3), 295–314.
Hastie, R., & Dawes, R. M. (2001). Rational choice in an uncertain world: The psychology of judgment and decision making. p. 160
Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux
Powdthavee, N., & Riyanto, Y. E. (2015). Would you pay for transparently useless advice? A test of boundaries of beliefs in the folly of predictions. Review of economics and statistics, 97(2), 257 272
Rabin, M. (2002b). Inference by believers in the law of small numbers. The Quarterly Journal of Economics, 117(3), 775–816
Tversky, A., & Kahneman, D. (1971). Belief in the law of small numbers. Psychological Bulletin, 76(2), 105–110
T Javůrková.(2023). Gambler’s Fallacy in Investor’s Decision-making
Malkiel, B. G. (1989). Efficient Market Hypothesis, pp. 127–134.
Michael, L. (2017). The Undoing Project: A Friendship That Changed Our Minds. W. W. Norton & Company
全文公開日期 2026/06/16