Responsive image
博碩士論文 etd-0422123-205400 詳細資訊
Title page for etd-0422123-205400
論文名稱
Title
零股週轉率可以作為投資人情緒指標嗎?來自台股的證據
Can Odd-Lot Turnover Serve as an Investor Sentiment Indicator? Evidence from the Taiwan Stock Market
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
59
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2023-03-25
繳交日期
Date of Submission
2023-05-22
關鍵字
Keywords
投資人情緒、盤中零股、股票報酬、零股週轉率、因子模型
Investor Sentiment, Odd Lot Trading, Stock Return, Factor Models, Odd-lot Turnover Rate
統計
Statistics
本論文已被瀏覽 263 次,被下載 5
The thesis/dissertation has been browsed 263 times, has been downloaded 5 times.
中文摘要
投資人情緒一直被認為是股票市場中的重要影響因素之一,臺灣盤中零股交易制度開放為研究投資人情緒提供了一個新的機會。本研究以零股週轉率作為散戶投資人情緒的代理變數,探討零股週轉率是否能預測股價報酬,並同時與其他投資人情緒代理變數:資券餘額比、散戶成交比重、散戶週轉率、隔夜報酬率及網路搜尋量進行比較。實證結果顯示,零股週轉率與未來報酬率呈現顯著的正向關係。但隨著持有時間加長,零股週轉率對於報酬率的影響程度會逐漸下降。零股週轉率的效果與其他投資人情緒相當,但在持有一日與三日時對於股價報酬的預測能力勝過散戶成交比重。我們也發現零股週轉率的報酬預測力與公司市值大小有關。接著本文透過零投資組合測試,發現可以利用零股週轉率、散戶週轉率、隔夜報酬率及網路搜尋量分別建立之零投資組合(買進投資人情緒高的公司,同時賣出投資人情緒低的公司)來獲得正報酬,其中零股週轉率獲得之正報酬大於資券餘額比與散戶成交比重,但次於散戶週轉率、隔夜報酬率與網路搜尋量。最後,本文使用因子模型進一步驗證以上投資策略的有效性,發現網路搜尋量僅有在日頻之因子模型可獲得異常報酬,而零股週轉率、散戶週轉率、隔夜報酬率無論在週頻或日頻之因子模型,CAPM、三因子、四因子、五因子,都得到了顯著為正的異常報酬。這意味著,在考慮更多因子的情況下,以上投資策略仍然能夠取得顯著的異常報酬,進一步證明了以上策略的有效性。本文整體的分析顯示,零股週轉率是有效的投資人情緒指標。
Abstract
Investor sentiment has long been recognized as an important factor in the stock market, and the opening of the odd-lot trading system in Taiwan provides a new opportunity to study investor sentiment. This study uses odd-lot turnover rate as a proxy variable for retail investor sentiment, explores whether odd-lot turnover rate can predict stock returns, and compares it with other proxy variables of investor sentiment: financing bearing ratio, estimated proportion of retail investor transaction, estimated of retail investor turnover rate, overnight returns, and search volume index. The empirical results show that odd-lot turnover rate has a significant positive relationship with future stock returns. However, as the holding period lengthens, the impact of odd-lot turnover rate on returns gradually decreases. The effect of odd-lot turnover rate is comparable to other investor sentiment variables, but it outperforms estimated proportion of retail investor transaction ratio in predicting stock returns over one and three days. We also found that the predictive power of odd-lot turnover rate for returns is related to company size. Furthermore, using zero-investment portfolios, we found that odd-lot turnover rate, estimated of retail investor turnover rate, overnight returns, and search volume index can be used to construct profitable portfolios (buying stocks with high investor sentiment and selling stocks with low investor sentiment), with odd-lot turnover rate yielding higher returns than financing bearing ratio and estimated proportion of retail investor transaction ratio, but lower than estimated of retail investor turnover rate, overnight returns, and search volume index. At last, we used a factor model to further verify the effectiveness of the above investment strategies and found that only search volume index can obtain abnormal returns in the daily frequency factor model, while odd-lot turnover rate, estimated of retail investor turnover rate, and overnight returns can obtain significant positive abnormal returns in both the weekly and daily frequency factor models of the CAPM, three-factor, four-factor, and five-factor models. This means that even when considering more factors, the above investment strategies can still achieve significant abnormal returns, further demonstrating their effectiveness. Overall, the analysis shows that odd-lot turnover rate is an effective proxy variable for investor sentiment.
目次 Table of Contents
目錄
論文審定書 i
誌謝 ii
中文摘要 iii
英文摘要 iv
第一章 緒論 1
第一節 研究背景及動機 1
第二節 研究目的 2
第三節 主要發現 3
第四節 研究流程 4
第二章 文獻回顧 5
第一節 台灣零股交易現況 5
第二節 投資人情緒的相關研究 5
第三節 假說建立 6
第三章 研究方法 9
第一節 研究架構 9
第二節 資料來源與樣本選取 10
第三節 變數定義與衡量 11
第四節 實證模型 14
第四章 實證分析 17
第一節 敘述性統計 17
第二節 多元迴歸分析 18
第三節 額外分析 19
第五章 結論與建議 21
第一節 結論 21
第二節 建議 22
參考文獻 23


圖次
圖3-1 研究架構圖 9

參考文獻 References
參考文獻
1. Aboody, D., et al. (2018). Overnight returns and firm-specific investor sentiment. Journal of Financial and Quantitative Analysis, 53(2), 485-505.
2. Baker, M. and J. C. Stein (2004). Market liquidity as a sentiment indicator. Journal of Financial Markets, 7(3), 271-299.
3. Baker, M. and J. Wurgler (2006). Investor sentiment and the cross‐section of stock returns. Journal of Finance, 61(4),1645-1680.
4. Barber, B. M., et al. (2006). Do noise traders move markets? EFA 2006 Zurich Meetings Paper.
5. Da, Z., et al. (2011). In search of attention. Journal of Finance, 66(5),1461-1499.
6. Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25(2),383-417.
7. Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3-56.
8. Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57-82.
9. Fama, E. F. and K. R. French (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1),1-22.
10. Gao, X. and T.-C. Lin (2015). Do individual investors treat trading as a fun and exciting gambling activity? Evidence from repeated natural experiments. Review of Financial Studies, 28(7), 2128-2166.
11. Hong Bae, K. and J.-B. Kim (1998). The usefulness of earnings versus book value for predicting stock returns and cross corporate ownership in Japan. Japan and the World Economy, 10(4), 467-485.
12. Narayan, P. K. and J. Westerlund (2014). Does cash flow predict returns? International Review of Financial Analysis, 35, 230-236.
13. 周賓凰、張宇志、林美珍(2019)。投資人情緒與股票報酬互動關係。 證券市場發展季刊,行為財務學特別專刊,19(2),153-190。
14. 高蘭芬、盧正壽、黃冠智與陳安琳(2012)。 公司治理,公司績效與投資策略。中山管理評論 ,20 (3), 851-880。
15. 蔡佩蓉(2009)。投資人情緒、公司特徵與台灣股票報酬之研究。 經濟研究 ,45 (2),273-322。
16. 劉清標、林筱鳳、陳宏榮(2017)。股價報酬與投資人情緒之預測。財金論文叢刊, (26), 1-18。
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:校內校外完全公開 unrestricted
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code