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博碩士論文 etd-0622121-211628 詳細資訊
Title page for etd-0622121-211628
論文名稱
Title
投資人交易行為與盈餘宣告後漂移:來自台灣股票市場之證據
Investors' trading behavior and post-earnings-announcement drift: 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
118
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
2021-07-16
繳交日期
Date of Submission
2021-07-22
關鍵字
Keywords
盈餘宣告、盈餘宣告後漂移、交易行為、個人投資者、外國機構投資者、過度自信、資訊交易
Earnings announcements, Post-earnings announcements drift, Trading behavior, Individual investors, Foreign institutional investors, Overconfidence, Informed trading
統計
Statistics
本論文已被瀏覽 364 次,被下載 0
The thesis/dissertation has been browsed 364 times, has been downloaded 0 times.
中文摘要
本文利用台灣證券交易所之逐筆交易資料,分析了三種類型的投資者在盈餘宣告日周圍之交易活動。本文實證結果表明,於盈餘宣告日周圍之所有投資者類別通常對其私人訊息反應過度,而對公開訊息反應不足,從而導致盈餘宣告後漂移(PEAD)之異常現象。此外,個人投資者之過度自信交易量及持續時間皆較機構投資者大,從而解釋了較大的PEAD。另外本文發現國外機構投資者有學習效果而國內機構及個人投資者則無學習效果,且個人投資者樂於使用槓桿交易且拙於處理資訊,從而導致更多的過度自信交易。本文亦發現,外國機構於盈餘宣告前所建立之部位,可於宣告後獲利,個人投資者則虧損。當公司之財務報表之質量或套利限制更加惡化時,外國機構投資者將具更大之訊息優勢。
Abstract
This research analyzes the trading activities of three types of investors around earnings announcements, we take advantage of a tick-by-tick transaction dataset on the Taiwan Stock Exchange. Our empirical results indicate that all investors’ trading activities around such announcements generally overreact their private information and underreact from public information, thus driving the well-documented post-earnings announcement drift (PEAD) anomaly. Moreover, individual investors’ overconfident trading volume and duration of overconfident trading are more than that of institutions, also fond of trade in margin and poor information processing ability, thereby causing more PEAD. Lastly, our empirical evidence report that foreign institutional investors have a greater information advantage when firms’ reporting quality or limit-to-arbitrage is more deteriorative.
目次 Table of Contents
論文審定書 i
致謝辭 ii
摘要 iii
Abstract iv
List of Tables vii
1. Introduction 1
2. Literature review 12
2.1 Who drives the price drift? 12
2.2 The relations among price drift and trading behavior 14
2.3 The relations among price drift, accounting quality, and limit to arbitrage 16
2.4 Research question 18
3. Data and variable definitions 19
3.1 Data 19
3.2 Cumulative abnormal returns 19
3.3 Cumulative abnormal net trading across different types of investors 20
3.4 Earnings surprise 21
3.5 Summary statistics of shares traded in the Taiwan stock market 21
4. Empirical results 22
4.1 Does PEAD exist in Taiwan? 22
4.2 Who drives PEAD? 23
4.2.1 Cumulative abnormal net trading around earnings announcement 23
4.2.2 Overconfident trading after earnings announcement 25
4.2.3 The durations of the overconfident trading 28
4.2.4 Do investors learn from their past wrong trading? 29
4.2.5 The relation between margin trading and individuals overconfident trading 31
4.2.6 The impact of attention on the individuals overconfident trading 33
4.2.7 The information content of pre-announcement net trading 34
4.2.8 Regression results of the relation between pre-announcement trading and post-announcement returns 36
4.2.9 Summary of prior results 38
4.3 Additional test 40
4.3.1 Financial reporting quality, PEAD, and trading activities across various types of investors 40
4.3.2 Limits to arbitrage, PEAD, and trading activities 44
4.3.3 Price limits, PEAD, and individuals’ overconfident trading activities 48
5. Conclusion 51
References 55
Appendices 93

參考文獻 References
Aabo, T. Pantzalis, C., and Park, J. C. (2017). Idiosyncratic volatility: An indicator of noise trading? Journal of Banking and Finance, 75, 146-151.
Ang, A., Hodrick, R. J., Xing, Y., and Zhang, X. (2009). High idiosyncratic volatility and low returns: International and further US evidence. Journal of Financial Economics, 91(1), 1-23.
Alexander, G. J., E. Ors, M. A. Peterson, and P. J. Seguin, 2004, Margin regulation and market quality: a microstructure analysis, Journal of Corporate Finance, 10, 549–574.
Ali, A., Hwang, L. and Trombley, M. (2003). Arbitrage risk and the book-to-market anomaly. Journal of Financial Economics, 69(2), 355-373.
Amihud, Y. (2002). Illiquidity and Stock Returns: Cross-section and Time Series Effects. Journal of Financial Markets, 5(1), 31-56.
Bae, K. H., and Dixon, P. (2018). Do investors use options and futures to trade on different types of information? Evidence from an aggregate stock index. Journal of Futures Markets, 38(2), 175-198.
Ball, R., and Brown, P. (1968). An empirical evaluation of accounting income numbers. Journal of Accounting Research, 6(2), 159-178.
Bali, T. G., and Cakici, N. (2008). Idiosyncratic volatility and the cross section of expected returns. Journal of Financial and Quantitative Analysis, 43(1), 29-58.
Barber, B. M., Huang, X., Ko, K. J., and Odean, T. (2020). Leveraging Overconfidence. Working paper.
Barber, B. M., Lee, Y. T., Liu, Y. J., and Odean, T. (2004). Do individual day traders make money? Evidence from Taiwan. Working Paper.
Barber, B. M., Lee, Y. T., Liu, Y. J., and Odean, T. (2009). Just how much do individual investors lose by trading. Review of Financial studies, 22 (2), 609–632.
Barber, B. M., and Odean, T. (2000). Trading is hazardous to your wealth: The common stock investment performance of individual investors. Journal of Finance, 55(2), 773-806.
Barber, B. M., and Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. Quarterly Journal of Economics, 116(1), 261-292.
Barberis, N., Xiong, W. (2009). What drives the disposition effect? An analysis of a long‐standing preference‐based explanation. Journal of Finance, 64(2), 751-784.
Bathke, A. W. Jr., Mason, T. W., and Morton, R. M. (2019). Investor overreaction to earnings surprises and post-earnings-announcement reversals. Contemporary Accounting Research, 36(4), 2069-2092.
Bartov, E., Radhakrishnan, S., Krinsky, I. (2000). Investor sophistication and patterns in stock returns after earnings announcement. Accounting Review, 75(1), 43-63.
Battalio, R. H., and Mendenhall, R. R. (2005). Earnings expectations, investor trade size, and anomalous returns around earnings announcement. Journal of Financial Economics, 77(2), 289-319.
Bernard, V., and Thomas, J. (1990). Evidence that stock prices do not fully reflect the implications of current earnings for future earnings. Journal of Accounting and Economics, 13(4), 305-340.
Bernile, G., Hu, J., and Tang, Y. (2016). Can information be locked up? Informed trading ahead of macro-news announcements. Journal of Financial Economics 121, 496–520.
Bhattacharya, N. (2001). Investors’ trade size and trading responses around earnings announcement: An empirical investigation. Accounting Review, 76(2), 221-244.
Blume, M. E. A, Craig, M., and Bruce, T. (1989). Order imbalances and stock price movements on October 19 and 20, 1987. Journal of Finance, 44, 827-848.
Brav, A., Heaton, J. B., and Li, S. (2009). The limits of the limits of arbitrage. Review of Finance, 14(1), 157-187.
Brown, L. D. (2001). A temporal analysis of earnings surprises: Profits versus losses. Journal of Accounting Research, 39(2), 221-241.
Bushee, B. J., Goodman, T. H., and Sunder, S. V. (2019). Financial Reporting Quality, Investment Horizon, and Institutional Investor Trading Strategies. Accounting Review, 94(3), 87-112.
Callen, J. L. Khan, M., and Lu, H. (2013). Accounting quality, stock price delay, and future stock returns. Contemporary Accounting Research, 30(1), 269-295.
Cao, J., and Han, B. (2016). Idiosyncratic risk, costly arbitrage, and the cross-section of stock returns. Journal of Banking and Finance, 73, 1-15.
Cao, J., Han, B., and Wang, Q. (2017). Institutional investment constraints and stock prices. Journal of Financial and Quantitative Analysis, 52(2), 465-489.
Chang, C. C., Hsieh, P. F., and Lai, H. N. (2009). Do informed option investors predict stock returns? Evidence from the Taiwan stock exchange. Journal of Banking and Finance, 33(4), 757–764.
Chang, C. C., Hsieh, P. F., and Wang, Y. H. (2010). Information content of options trading volume for future volatility: Evidence from the Taiwan options market. Journal of Banking and Finance, 34(1), 174–183.
Chang, C. C., Hsieh, P. F., and Wang, Y. H. (2015). Sophistication, Sentiment, and Misreaction. Journal of Financial and Quantitative Analysis, 50(4), 903-928.
Chen, J .Z., Lobo, G. J., and Zhang, J. H. (2017). Accounting quality, liquidity risk, and post-earnings-announcement drift. Contemporary Accounting Research, 34(3), 1649-1680.
Chi, S. S., and Shanthikumar, D. M. (2017). Local bias in Google search and the market response around earnings announcements. Accounting Review, 92(4), 115-143.
Chordia, T., Goyal, A., and Jegadeesh , N. (2016). Buyers versus Sellers: Who Initiates Trades, and When? Journal of Financial and Quantitative Analysis, 51(5), 1467-1490.
Chordia, T., Goyal, A., Sadka, G., and Sadka, R., Shivakumar, L. (2009). Liquidity and the post-earnings-announcement drift. Financial Analysts Journal, 65(4), 18-32.
Chordia, T., Hu, J. F., Subrahmanyam, A., and Tong, Q. (2019). Order Flow Volatility and Equity Costs of Capital. Management Science, 65(4), 1520-1551.
Chordia, T., R. Roll, and A. Subrahmanyam, 2001, Market liquidity and trading activity, Journal of Finance, 56, 501–530.
Chou, R. K., and Wang, Y. Y. (2011). A test of the different implications of the overconfidence and disposition hypotheses. Journal of Banking and Finance, 35(8), 2037-2046.
Chowdhry, B., and Nanda, V. (1998). Leverage and market stability: the role of margin rules and price limits. Journal of Business, 71, 179–210.
Chuang, W. I., and Susmel, R. (2011). Who is the more overconfident trader? Individual vs. institutional investors Journal of Banking and Finance, 35(7), 1626-1644.
Chung, D., and Hrazdil, K. (2011). Market efficiency and the post-earnings announcement drift. Contemporary Accounting Research, 28(3), 926-956.
Da, Z., Gurun, U. and Warachka, M. (2014). Frog in the pan: continuous information and momentum. Review of Financial Studies, 27(7), 2171-2218.
Daniel, K., Hirshleifer. D., and Subrahmanyam, A. (1998). Investor psychology and security market under and overreactions. Journal of Finance, 53(6), 1839-1885.
De Long, J. B., Shleifer, A., Summers, L. H. and Waldmann, R. J. (1990). Noise trader risk in financial markets. Journal of Political Economy, 98, 703–738.
Doyle, J. T., Lundholm, R. J., and Soliman, M. T.(2006). The extreme future stock returns following I/B/E/S earnings surprises. Journal of Accounting Research, 44(5), 849-887.
Drake M. S., Roulstone D. T., and Thornock J. R. (2012). Investor information demand: Evidence from google searches around earnings announcements Journal of Accounting Research, 50(4), 1001-1040.
Easley, D. López de Prado, M. M., and O’Hara, M. (2012). Flow Toxicity and Liquidity in a High-frequency World. Review of Financial Studies, 25(5), 1457-1493.
Fama, E. F. (1989). Perspectives on October 1987, or What did we learn from the crash?, in Robert W. Kamphuis, Jr., Roger C, Kormendi, and J, W, Henry Watson, Eds,: Black Monday and the Future of the Financial Markets (Irwin, Homewood, 111,).
Frazzini, A. (2006). The disposition effect and underreaction to news. Journal of Finance, 61(4), 2017-2046.
Fricke E., Fung, S., and Goktan, S. (2018). Informed versus uninformed investors: Internet searches, options trading, and post-earnings announcement drift. International Research Journal of Applied Finance, 9(8), 374-393.
Froot, K. A., O’Connell, P. G. J., and Seasholes, M., (2001). The Portfolio Flows of International Investors. Journal of Financial Economics, 59(2), 151–193.
Fu, F. (2009). Idiosyncratic risk and the cross-section of expected stock returns. Journal of Financial Economics, 91(1), 24-37.
Gervais, S., and Odean, T. (2001). Learning To Be Overconfident. Review of Financial Studies, 14(1), 1-27.
Greenwald, B. C., and Jeremy C. S. (1991). Transactional risk, market crashes, and the role of circuit breakers. Journal of Business, 64, 443-462.
Griffin, D., and Tversky, A. (1992). The Weighting of Evidence and the Determinants of Confidence. Cognitive Psychology, 24, 411-435.
Grinblatt, M., and Keloharju, M. (2000). The investment behavior and performance of various investor types: A study of Finland’s unique data set. Journal of Financial Economics, 55(1), 43–67.
Hardouvelis, G. A. (1990). Margin requirements, volatility, and the transitory component of stock prices. American Economic Review, 80, 736–762.
Hardouvelis, G. A., and Peristiani, S. (1992). Margin requirements, speculative trading, and stock price fluctuations: the case of Japan. Quarterly Journal of Economics, 107, 1333–1370.
Hirshleifer, D., Myers, J., Myers, L., and Teoh, S. H. (2008). Do individual investors cause post-earnings announcement drift? Direct evidence from personal trades. Accounting Review, 83(6), 1521-1550.
Huang, S., Liu, X., and Yin, C. Investor target prices. Journal of Empirical Finance, 54, 39-57.
Huang, H. G., Tsai, W. C., Weng, P. S., and Wu, M. H. (2021). Volatility Order Imbalance of Various Types of Institutional Traders and Expected Asset Returns: Evidence from Taiwan. Journal of Financial Market, (forthcoming).
Hung, M., Li, X., Wang, S. (2015). Post-earnings-announcement drift in global markets: Evidence from an information shock. Review of Financial Studies, 28(4), 1242-1283.
Kaniel, R., Liu, S., Saar, G. and Titman, S. (2012). Individual investor trading and return patterns around earnings announcement. Journal of Finance, 67(2), 639-680.
Karolyi, G. A. (2002). Did the Asian financial crisis scare foreign investors out of Japan? Pacific-Basin Finance Journal, 10(4), 411–442.
Ke, B., and Ramalingegowda, S. (2005). Do institutional investors exploit the post-earnings announcement drift? Journal of Accounting and Economics, 39(1), 25-53.
Kothary, S. P., and Warner, J. B. (1997). Measuring long-horizon security price performance. Journal of Financial Economics, 43(3), 301-339.
Kuhn, B. A., Gregory, J, K., and Peter L. (1991). Do circuit breakers moderate volatility? Evidence from October 1989. Review of Futures Markets, 10, 136-175.
Kuo, W. Y., and Lin, T. C., (2013). Overconfident individual day traders: Evidence from the Taiwan futures market. Journal of Banking and Finance. 37(9), 3548-3561.
Kyle, A. S. (1988). Trading halts and price limits. Review of Futures Markets, 7, 426-434.
Lee, C. M. G., Mark, J. R., and Paul, J. S. (1994). Volume, volatility, and New York Stock Exchange trading halts. Journal of Finance 49, 183-214.
Lehmann, B. N. (1989). Commentary: Volatility, price resolution, and the effectiveness of price limits. Journal of Financial Services Research, 3, 205-209.
Li, R., Wang, X., Yan, Z., and Zhao, Y. (2019). Sophisticated investor attention and market reaction to earnings announcements: Evidence from the SEC's EDGAR log files. Journal of Behavioral Finance, 20(4), 490-503.
Liang, L. (2003). Post-earnings announcement drift and market participants’ information processing biases. Review of Accounting Studies, 8 (2–3), 321-345.
Lin, C., Ko, K. C., Chen, Y. L., and Chu, H. H. (2016). Information discreteness, price limits and earnings momentum. Pacific-Basin Finance Journal, 37, 1-22.
Mendenhall, R. (2004). Arbitrage risk and post-earnings-announcement drift. Journal of Business, 77(4), 875-894.
Merton, R., 1987. A simple model of capital market equilibrium with incomplete information. Journal of Finance 42, 483-510.
Ng, J., Rusticus, T., and Verdi, R. (2008). Implication of transaction costs for the post-earnings announcement drift. Journal of Accounting Research, 46(3), 661-696.
Odean, T. (1998). Volume, volatility, price, and profit when all traders are above average. Journal of Finance, 53(6), 1887-1934.
Odean, T. (1999). Do investors trade too much?. American Economic Review, 89(5), 1279-1298.
Porras Prado, M. Saffi, P. A., and Sturgess, J. (2016). Ownership structure, limits to arbitrage, and stock returns: Evidence from equity lending markets. Review of Financial Studies, 29(12), 3211-3244.
Renault, T. (2017). Intraday online investor sentiment and return patterns in the US stock market. Journal of Banking and Finance, 84, 25-40.
Richards, A. (2005). Big fish in small ponds: The trading behavior and price impact of foreign investors in Asian emerging equity markets. Journal of Financial and Quantitative Analysis, 40(1), 1–27.
Rytchkov, O. (2014). Asset pricing with dynamic margin constraints, Journal of Finance, 69, 405–452.
Seasholes, M. S., Wu, G. (2007). Predictable behavior, profits, and attention. Journal of Empirical Finance, 14, 590–610.
Seguin, P. J. (1990). Stock volatility and margin trading, Journal of Monetary Economics, 26, 101–121.
Seguin, P. J., and Jarrell, G. A. (1993). The irrelevance of margin: evidence from the crash of ‘87, Journal of Finance, 48, 1457–1473.
Shleifer, A., and Vishny, R. W. (1997). The Limits of Arbitrage. Journal of Finance, 52(1), 35-55.
Shu, T. (2013). Institutional investor participation and stock market anomalies. Journal of Business Finance and Accounting, 40(5–6), 695-718.
Thurner, S., Farmer, J. D., and Geanakoplos, J. (2012). Leverage causes fat tails and clustered volatility. Quantitative Finance, 12, 695–707.
Verrecchia, R. E. (2001). Essays on disclosure. Journal of Accounting and Economics, 32(1-3), 97-180.
Wang, B., Choi, W., and Siraj, I. (2018). Local investor attention and post-earnings announcement drift. Review of Quantitative Finance and Accounting, 51(1), 219-252.
Weng, P. S., and Tsai, W. C. (2018). Do Foreign Institutional Traders have Private Information for the Market Index? The Aspect of Market Microstructure. International Review of Economics and Finance, 55, 308-323.
Weng, P. S., Wu, M. H., Chen, M. L., and Tsai, W. C. (2017). An empirical analysis of the dynamic probability of institutional informed trading: evidence from the Taiwan futures exchange. Journal of Futures Markets, 37(9), 865–891.
Wu, D. (2019). Does social media get your attention? Journal of Behavioral Finance, 20(2), 213-226.
Zhang, Q., Cai, C. X., and Keasey, K. (2013). Market reaction to earnings news: A unified test of information risk and transaction costs. Journal of Accounting and Economics, 56(2–3), 251-266.
Zhang, X. F. (2006). Information uncertainty and stock returns. Journal of Finance, 61 (1), 105-137.
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