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博碩士論文 etd-0717120-152208 詳細資訊
Title page for etd-0717120-152208
論文名稱
Title
理性與非理性情緒的衡量指標-隔夜報酬拆解
The measures of rational and irrational sentiment - Decomposition of overnight returns
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
94
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
2020-06-29
繳交日期
Date of Submission
2020-08-17
關鍵字
Keywords
非理性情緒、理性情緒、日內意見分歧程度、過度反應、隔夜報酬、隔夜效應、交易時間偏好
rational sentiment, overreaction, irrational sentiment, overnight returns, overnight effect, opinion divergence, trading time preference
統計
Statistics
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The thesis/dissertation has been browsed 5802 times, has been downloaded 31 times.
中文摘要
本研究探討交易時間偏好、意見分歧程度與隔夜效應之間的關係,並將隔夜報酬拆解為理性與非理性情緒,分析情緒在隔夜效應影響下的特徵。有別於過去文獻認為散戶與法人分別偏好於開盤及收盤交易,導致開盤價過度反應,造成隔夜報酬與日內報酬負相關的隔夜效應,本研究發現散戶與法人皆集中在開盤且看法一致時有更大的隔夜效應,散戶與法人分別偏好於開盤及收盤交易時,還須達到看法相異的條件才會造成隔夜效應。投資人日內委託單失衡及日內交易比重是本研究分析的依據。Aboody et al.(2018)以隔夜報酬衡量投資人情緒,本研究認為隔夜報酬應含對隔夜資訊的理性及過度反應,並嘗試從隔夜報酬中分離出非理性情緒。最後,本研究分析理性與非理性情緒在隔夜效應影響下的特徵,以此特徵建構投資策略並與隔夜報酬策略做比較。本研究是首篇嘗試以交易時間偏好及意見分歧程度解釋隔夜效應並衡量理性與非理性情緒的文章。
Abstract
This study investigates the relations among trading time preference, opinion divergence and overnight effect, and attempts to decomposition of overnight returns to rational and irrational sentiment, and analyzes the characteristics of sentiment in different overnight effect. Different from past literature that argues individuals prefer to trade at market open while institutional prefer to trade at market close considers the main cause for negative correlation between overnight returns and intraday returns, the so called overnight effect is opening prices over-reacted. We found that both individuals and institutional prefer to trade at market open will cause severer overnight effect than preferring to trade at different time. Investors’ intraday order imbalance and percent of trading are the basis for our argument. Aboody et al. (2018) uses overnight returns to measure sentiment. In this study, we argue overnight returns combine both overreaction and information components. Therefore, we attempt to separate the two components and analyzes the characteristics of sentiment in different overnight effect. Portfolio performance based on the separated irrational sentiment component is compared with that of Aboody et al. (2018). This paper is the first to explain negative overnight-intraday return relation from investors’ order imbalance and time preference.
目次 Table of Contents
目錄
論文審定書...........................................................i
誌謝......................................................................ii
摘要......................................................................iii
Abstract...............................................................iv
目錄......................................................................v
圖次......................................................................ix
表次.....................................................................xii
一、前言..............................................................1
1.1研究背景與動機.............................................1
1.2 研究目的 ......................................................4
1.3 研究貢獻 ......................................................4
二、文獻回顧......................................................5
2.1隔夜效應 ......................................................5
2.2散戶與法人的意見分歧程度 ........................6
2.3情緒影響與情緒衡量.....................................8
2.4 隔夜報酬衡量情緒 ......................................10
2.5理性情緒與非理性情緒 ..............................11
三、研究方法....................................................12
3.1 研究期間與資料..........................................12
3.2 報酬率定義..................................................13
3.3投資人交易時間偏好...................................14
3.4投資人意見分歧程度...................................18
3.5隔夜效應......................................................20
3.5.1 皮爾遜積矩相關係數...............................21
3.5.2 Fama-MacBeth Regression....................21
3.5.3 多元迴歸分析..........................................21
3.6 投資人情緒.................................................21
3.6.1理性情緒..................................................22
3.7 理性與非理性情緒拆解 .............................24
3.8 檢驗情緒特徵 ............................................24
四、研究假說...................................................26
4.1造成隔夜效應的原因..................................26
4.2情緒與報酬的關係......................................28
五、敘述統計...................................................29
5.1交易時間偏好.............................................29
5.1.1 投資人日內成交量分布..........................29
5.1.2 投資人驅動開盤價程度..........................32
5.1.3 交易時間偏好與隔夜效應之關聯...........34
5.1.4 散戶開盤驅動程度與隔夜效應之關聯....36
5.1.5散戶交易偏好與法人交易偏好之關聯.....36
5.1.6開、收盤交易偏好與隔夜效應之關聯.....37
5.1.7投資人看法在各開、收盤交易偏好下與隔夜效應之關聯...38
5.2 意見分歧程度 .............................................39
5.2.1 投資人日內委託量分布...........................39
5.2.2投資人日內意見分歧程度 ......................41
5.2.3散戶與法人日內分期程度之關聯.............46
5.2.4 投資人驅動收盤價程度...........................51
5.3 法人日內OIB與報酬之關聯........................52
5.3.1 法人開、收盤OIB與隔夜報酬之關聯......52
5.3.2 法人開、收盤OIB與日內報酬之關聯......53
5.3.3 法人開、收盤OIB與未來周報酬之關聯..53
4.3.4 法人開、收盤OIB與未來月報酬之關聯..54
5.4隔夜報酬......................................................54
5.4.1 隔夜報酬短期持續性...............................55
5.4.2 隔夜報酬與短期績效之關聯...................55
5.4.3 隔夜報酬與長期績效之關聯...................56
5.5理性情緒變數..............................................56
5.5.1 總體經濟面PCA結果...............................56
5.5.2 隔夜資訊面與未來報酬之關聯...............58
5.5.3 法人看法面與未來報酬之關聯...............59
六、實證結果...................................................61
6.1隔夜效應之驗證..........................................61
6.1.1交易時間偏好與隔夜效應關係................64
6.1.2意見分歧程度與隔夜效應關係................64
6.1.3 散戶與法人意見分歧程度差異與隔夜效應的關係 ...65
6.1.4 散戶與法人交易時間偏好差異與看法Dummy,i,T與隔夜效應的關係 ...65
6.2 理性與非理性情緒......................................66
6.2.1非理性情緒的持續性................................67
6.2.2 理性與非理性情緒和未來報酬之關係....67
6.3 理性與非理性情緒和隔夜效應之關係.......69
6.3.1 隔夜效應強、弱下,理性情緒和報酬率的關係....70
6.3.2 隔夜效應強、弱下,非理性情緒和報酬率的關係 ....70
6.3.3 隔夜效應強、弱下,理性與非理性情緒對報酬率影響的顯著性....71
6.4 以理性及非理性情緒建構策略...................72
七、結論...........................................................75
八、參考文獻...................................................77
參考文獻 References
1. 王子湄、蕭朝興 (2007)。 台灣股市三大法人委託型態與價格行為的實證分析,管理與系統 15(1) 55-92
2. Aboody, D., Even-Tov, O., Lehavy, R., & Trueman, B. (2018). Overnight Returns and Firm-Specific Investor Sentiment. Journal of Financial and Quantitative Analysis.53(2) 485-505
3. Amihud, Y., & Mendelson, H. (1987). Trading Mechanisms and Stock Returns: An Empirical Investigation. The Journal of Finance 42(3)
4. Amihud, Y., & Mendelson, H. (1990). Explaining intraday and overnight price behavior. The Journal of Portfolio Management 16(2) 85–86
5. Antoniou, C., Doukas, J. A., & Subrahmanyam, A. (2016). Investor Sentiment, Beta, and the Cost of Equity Capital. Management Science 62(2)
6. Antoniou, C., Doukas, J.A., & Subrahmanyam, A. (2011). Sentiment and Momentum. SSRN Electronic Journal
7. Antoniou, C., Doukas, J.A., & Subrahmanyam, A. (2013). Cognitive Dissonance, Sentiment, and Momentum. Journal of Financial and Quantitative Analysis 48(1) 245-275
8. Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross‐section of stock returns. The Journal of Finance 61(4) 1645-1680
9. Baker, M., & Wurgler, J. (2007). Investor sentiment in the stock market. Journal of Economic Perspectives 21(2) 129-152
10. Barber, M., Tsung, L., Jane, L., & Odean, T. (2004). Who Gains from Trade? Evidence from Taiwan. The 12th Conference on the Theories and Practices of Securities and Financial Markets
11. Barber, M., Tsung, L., Jane, L., & Odean, T. (2009). Just How Much Do Individual Investors Lose by Trading? The Review of Financial Studies 22(2) 609-632
12. Berkman, H., Koch, P., Tuttle, L., & Zhang, Y. (2012). Paying Attention: Overnight Returns and the Hidden Cost of Buying at the Open. Journal of Financial and Quantitative Analysis 47(4) 715-741
13. Branch, B.S., & Ma, A.J. (2006). The overnight return, one more anomaly. SSRN Electronic Journal
14. Brown, P., Walsh, D., & Yuen, A. (1997). The interaction between order imbalance and stock price. Pacific-Basin Finance Journal 5(5) 539-557
15. Chakravarty, S. (2001). Stealth-trading: Which traders’ trades move stock prices? Journal of Financal Economics, 61(2) 289-307
16. Chelley-Steeley, p., Lambertides, N., & Savva, C.S. (2017). Sentiment, order imbalance, and co‐movement: An examination of shocks to retail and institutional trading activity. European Financial Management 25(1) 116-159
17. Choe, H., & Shin, H.S. (1993). An analysis of interday and intraday return volatility - evidence from the Korea Stock Exchange. Pacific-Basin Finance Journal 1(2) 175-188
18. Chordia, T., Roll, R., & Subrahmanyam, A. (2002). Order imbalance, liquidity, and market returns. Journal of Financial Economics 65(1) 111-130
19. Chordia, T., & Subrahmanyam, A. (2004). Order imbalance and individual stock returns: Theory and evidence. Journal of Financial Economics 72(3) 485-518
20. Chuang, W.J., Ouyang, L.Y., & Lo, W.C. (2010). The Impact of Investor Sentiment on Excess Returns: A Taiwan Stock Market Case. International Journal of Information and Management Sciences 21, 13-28
21. Cliff, M., Cooper, M.J., & Gulen, H. (2008). Return Differences between Trading and Non-trading Hours: Like Night and Day. Virginia Tech working paper.
22. Corral, W.D., Colwell, D., Michayluk, D., & Woo, L. (2003). News releases when markets are closed. Unpublished working paper, University of Technology Sydney.
23. Foster, F., & Viswanathan, S. (1993). Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models. Journal of Finance, 48(1) 157-186
24. Fox, E. (2008). Emotion Science: Cognitive and Neuroscientific Approaches to Understanding Human Emotions. United Kingdom: Palgrave Macmillan
25. Heston, S.L., & Sinha, N.R. (2017). News vs. Sentiment: Predicting Stock Returns from News Stories. Financial Analysts Journal 73(3) 67-83
26. Huang, D., Jiang, F., Tu, J., & Zhou, G. (2015). Investor sentiment aligned: A powerful predictor of stock returns. Review of Financial Studies 28(3) 791–837
27. Huang, Y.S., Fu, T.W., & Ke, M.C. (2001). Daily price limits and stock price behavior: evidence from the Taiwan stock exchange.international Review of Economics and Finance 10(3) 263-288
28. Jiang, F., Lee, J., Martinm, X., & Zhou, G. (2019). Manager sentiment and stock returns. Journal of Financial Economics 132(1) 126-149
29. Jiang, L., & Li, G. (2013). Investor sentiment and IPO pricing during pre-market and aftermarket periods: Evidence from Hong Kong 23 65-82
30. Joseph, K., Wintoki, M.B., & Zhang, Z. (2011). Forecasting Abnormal Stock Returns and Trading Volume Using Investor Sentiment: Evidence from Online Search, International Journal of Forecasting. International Journal of Forecasting 27(4) 1116-1127
31. Lakonishok, J., Shleifer, A. & Vishny, W. (1992). The impact of institutional trading on stock prices. Journal of Financal Economics, 32 23-43
32. Lee, T., Liu, J., Roll, R., & Subrahmanyam, A. (2004). Order Imbalances and Market Efficiency: Evidence from the Taiwan Stock Exchange. Journal of Financial and Quantitative Analysis 39(2) 327-341
33. Long, J., Shleifer, A., Summers, L., & Waldmann, R. (1990). Noise Trader Risk in Financial Markets. Journal of Political Economy 98(4) 703-38
34. Long, J., Shleifer, A., Summers, L., & Waldmann, R. (1991). The Survival of Noise Traders in Financial Markets. The Journal of Business 64(1) 1-19
35. Lou, D., Polk, C., & Skouras, S. (2019). A tug of war:Overnight versus intraday expected returns. Journal of Financial Economics 134(1) 192-213
36. McInish, T.H., & Wood, R.A. (1985). Intraday and Overnight Returns and Day‐of‐the‐Week Effects. Journal of Financial Research 8(2) 199-126
37. Qian, X. (2014). Small investor sentiment, differences of opinion and stock overvaluation. Journal of Financial Markets 19 219-246
38. Rakowski, D., Shirley, S.E., & Stark, J.R. (2017). Is all that Twitters gold? Social media attention and stock returns. SSRN Electronic Journal
39. Ravi, R., & Sha, Y. (2014). Order-Imbalance and Price Momentum in the Stock Market. International Journal of Economics and Finance 6(10)
40. Schmeling, M. (2009). Investor sentiment and stock returns: Some international evidence. Journal of Empirical Finance 16(3) 394-408
41. Tumminello, M., Lillo, F., Piilo, J., & Mantegna,R.N. (2012). Identification of clusters of investors from their real trading activity in a financial market. New Journal of Physics 14
42. Verma, R., Baklaci, H., & Soydemir, G. (2008). The impact of rational and irrational sentiments of individual and institutional investors on DJIA and S&P500 index returns. Applied Financial Economics 19(9) 1303-1317
43. Weißofner, F., & Wessels, U. (2019). Overnight Returns: An International Sentiment Measure. Journal of Behavioral Finance Latest Articles
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