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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 財務金融學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88076
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor石百達zh_TW
dc.contributor.advisorPai-Ta Shihen
dc.contributor.author袁千祐zh_TW
dc.contributor.authorChien-Yu Yuanen
dc.date.accessioned2023-08-08T16:11:20Z-
dc.date.available2023-11-09-
dc.date.copyright2023-08-08-
dc.date.issued2023-
dc.date.submitted2023-07-03-
dc.identifier.citation參考文獻
1.Andrei, D., & Hasler, M. (2015). “Investor Attention and Stock Market Volatility”. Review of Financial Studies, Vol. 28, 33–72.
2.Barber, B.M., & Odean, T. (2008). “All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors”. Review of Financial Studies, Vol. 21, 785–818.
3.Barber, B.M., Yu-Jane, L., Yong-Ill, L., & Odean, T. (2004). “Who Gains from Trade? Evidence from Taiwan”. Review of Financial Studies, Vol. 11, 1–41.
4.Barberis, N., Shleifer, R., & Vishny, A. (1998). “A Model of Investor Sentiment”. Journal of Financial Economics, Vol. 49, 307–343.
5.Bishal B.C., & Thuy S. (2023). “How Do Firms Learn? Evidence from Corporate Cash Holdings during the COVID‐19 Pandemic”. Accounting and Finance, Vol. 63, 77–108.
6.Da, Z., Engelberg, J., & Gao, P. (2011). “In Search of Attention”. Journal of Finance. Vol. 66, 1461–1499.
7.Da, Z., Engelberg, J., & Gao, P. (2015). “The sum of all FEARS: Investor Sentiment and Asset Prices”. Review of Financial Studies, Vol. 28, 1–32.
8.Drake, M.S., Roulstone, D.T., & Thornock, J.R. (2012). “Investor Information Demand: Evidence from Google Searches Around Earnings Announcements”. Journal of Accounting Research, Vol. 50, 1001–1040.
9.French, K. (1980). “Stock Returns and the Weekend Effect”. Journal of Financial Economics, Vol. 8, 55–69.
10.Gibbons, M.R., & Patrick, J.H. (1981). “Day of the Week Effects and Asset Returns”. The Journal of Business. Vol. 54, 579–596.
11.Hassan, H., & Khan, M.S. (2019). “Day-of-Week Effect on Stock Market Return, Volatility and Trade Volume: Evidence from Dhaka Stock Exchange (DSE)”. Journal of Finance and Banking, Vol. 15, 227–541.
12.Hirshleifer, D., Danling. J., & Yuting M.D. (2020). “Mood Beta and Seasonalities in Stock Returns”, Journal of Financial Economics, Vol. 137, 272–295.
13.Jiajian, L., Qirong, H., & Zongru, Y. (2017). “Investor Attention and Stock Returns—An Empirical Study Based on WeChat Index”. Annual Review of Financial Economics, Vol. 10, 230–259.
14.Kahneman, D., & Tversky, A. (1973). “On the Psychology of Prediction”. Psychological Review, Vol. 80, 237–251.
15.Kalok, C., Chockalingam, M., & Lai, K. (2000). “Overnight Information and Intraday Trading Behavior: Evidence from NYSE Cross-Listed Stocks and Their Local Market Information”. Journal of Multinational Financial Management, Vol. 10, 495–509.
16.Karam K, & Doojin R. (2022). “Sentiment Changes and the Monday Effect”. Finance Research Letters, Vol. 47, Part B.
17.Ming-Hung, W., Wei-Che, T., Chia-Chi L., & Hang Z. (2022). “Google Searches around Analyst Recommendation Revision Announcements: Evidence from the Taiwan Stock Market”. International Review of Economics and Finance, Vol. 81, 75–97.
18.Tseng K.C., Ojoung K., & Luna C.T. (2012). “Time Series and Neural Network Forecasts of Daily Stock Prices”. Investment Management and Financial Innovations, Vol. 9, 32–54.
19.Vozlyublennaia, N. (2014). “Investor Attention, Index Performance, and Return Predictability”. Journal of Banking and Finance, Vol. 41, 17–35.
20.Wenwu C., & Jing, L. (2019). “Investors’ Financial Attention Frequency and Trading Activity”. Journal of Pacific-Basin Finance, Vol. 58, 1–20.
21.Yoshinaga, C., & Rocco, F. (2020). “Investor Attention: Can Google Search Volumes Predict Stock Returns”. Brazilian Business Review, Vol. 17, 523–539.
22.Zilca, S. (2017). “The Evolution and Cross Section of the Day-of-the-Week Effect”. Financial Innovation, Vol. 3, 1–12.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88076-
dc.description.abstract本研究以 2014 至 2022 年間臺灣所有上市公司作為樣本,研究其個股每日投資人當沖報酬率與投資人關注度之間的關係,其中個股日內當沖報酬數據來自臺灣證交所與臺灣股票資訊網之每日盤後統計資料,而投資人關注度衡量依據為 Da, Engelberg, and Gao (2011) 所提出的 Google 搜尋量指標 (Search Volume Index; SVI)。實證結果發現: (1) 投資人當沖報酬率存在星期效應,星期一表現最佳,且隨著靠近週末而遞減; (2) 投資人對股票關注度隨著靠近週末而遞減; (3) 投資人的關注度顯著影響隔日的當沖報酬表現; (4) 當沖報酬之星期效應受個股 SVI 的星期效應影響; (5) 當沖熱門標的之當沖報酬受 SVI 影響較大,而當沖冷門標的之當沖報酬則受 ASVI (異常關注度) 影響較大。本研究發現投資人對股票的關注度會影響短期投機的行為表現,假日累積的關注度反映在週一當沖報酬表現佳,而越接近週末投資人關注度明顯下降,當沖報酬隨之遞減,形成星期效應。zh_TW
dc.description.abstractThis study examines the relationship between daily day-trading returns of individual stocks and investor attention for all listed companies in Taiwan stock market from 2014 to 2022. The intraday day-trading return data for individual stocks are collected from the Taiwan Stock Exchange and Taiwan Stock Information (Goodinfo) daily after-market statistical data, while investor attention is measured based on the Search Volume Index (SVI) proposed by Da, Engelberg, and Gao (2011) using Google search volume indicators. The empirical results reveal the following: (1) Day-trading returns exhibit a day-of-the-week effect, with Mondays showing the highest performance and decreasing as the weekend approaches. (2) Investor attention towards stocks tend to decrease as the weekend approaches. (3) Investor attention significantly influences the day-trading performance of the next day. (4) The day-of-the-week effect in day-trading returns is affected by the day-of-the-week effect in individual stock SVI. (5) The day-trading returns of popular targets are more influenced by SVI, while the day-trading returns of less popular targets are more influenced by Abnormal Search Volume Index (ASVI). We finds that investor attention towards stocks affects their short-term speculative behavior. The accumulation of attention during holidays is reflected in better day-trading return performance on Mondays, while investor attention noticeably declines as the weekend approaches leading to a decrease in day-trading returns, which becomes a day-of-the-week effect.en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-08-08T16:11:20Z
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dc.description.provenanceMade available in DSpace on 2023-08-08T16:11:20Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontents中文摘要 i
ABSTRACT ii
目錄 iii
表目錄 iv
圖目錄 v
第一章、前言與背景 1
一、研究背景與動機 1
二、研究目的 2
第二章、文獻探討 3
一、投資人關注度相關文獻 3
二、星期效應相關文獻 4
三、當沖交易相關文獻 6
四、研究假說 7
第三章、研究方法 9
一、資料敘述 9
二、研究變數定義 10
三、研究模型 12
第四章、實證結果及分析 13
ㄧ、敘述性統計 13
二、星期效應檢定 15
三、模型實證結果 20
第五章、結論與未來展望 25
參考文獻 27
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dc.language.isozh_TW-
dc.subject星期效應zh_TW
dc.subject當沖報酬率zh_TW
dc.subject網路搜尋量zh_TW
dc.subject投資人關注度zh_TW
dc.subjectday-of-the-week effecten
dc.subjectinvestor attentionen
dc.subjectGoogle search volumeen
dc.subjectday-trading returnsen
dc.title探討當沖報酬之星期效應與搜尋量指標SVI的關係zh_TW
dc.titleInvestigation of Relation between Search Volume Index and Day-of-the-Week Effect in Day Trading Returnsen
dc.typeThesis-
dc.date.schoolyear111-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee盧佳琪;洪偉峰zh_TW
dc.contributor.oralexamcommitteeChia-Chi Lu;Wei-Feng Hungen
dc.subject.keyword投資人關注度,網路搜尋量,星期效應,當沖報酬率,zh_TW
dc.subject.keywordinvestor attention,Google search volume,day-of-the-week effect,day-trading returns,en
dc.relation.page29-
dc.identifier.doi10.6342/NTU202301221-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2023-07-05-
dc.contributor.author-college管理學院-
dc.contributor.author-dept財務金融學系-
dc.date.embargo-lift2028-06-28-
顯示於系所單位:財務金融學系

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