Responsive image
博碩士論文 etd-0129108-225341 詳細資訊
Title page for etd-0129108-225341
論文名稱
Title
有限注意力、代表性偏誤與保守性偏誤—台灣股票市場實證研究
Limited Attention, Representativeness and Conservatism Biases: 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
98
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
2008-01-27
繳交日期
Date of Submission
2008-01-29
關鍵字
Keywords
保守性偏誤、行為財務、有限注意力、代表性偏誤
behavioral finance, conservatism bias, limited attention, representativeness bias
統計
Statistics
本論文已被瀏覽 5695 次,被下載 1579
The thesis/dissertation has been browsed 5695 times, has been downloaded 1579 times.
中文摘要
本論文旨在探討投資人有限注意力、保守性與代表性偏誤,對台灣股票市場所造成之影響。由於過去文獻較少針對投資人的行為偏誤進行檢測,本文則提供有關投資人有限注意力的實證研究,並以行為財務理論模型裡,所描述的保守性與代表性偏誤進行實證測試。
首先,本研究檢測台灣的財務年報陸續公布時之市場反應,由於不同階段的注意力吸引,因而導致不同的市場反應。此外,有限注意力的投資人對於財務年報內涵有不完整的瞭解,致使不同年度呈現顯著正或負的交易量反應,研究結果支持有限注意力假說。
另外,假如人們太專注在訊息的強度卻忽略其權重,會呈現代表性偏誤。反之,當人們未注意到訊息的強度,傾向專注在訊息的權重,則會呈現保守性偏誤。本研究將行為偏誤區分成整體代表性偏誤與局部代表性偏誤。研究結果顯示,會計績效整體的代表性具有低強度但高權重之特性,致使投資人呈現保守性偏誤,而其他評價比率整體的代表性具有高強度但低權重之特性,導致投資人呈現代表性偏誤。然而,當本研究更進一步將整體績效次序分解成局部績效次序時,行為偏誤即告消失。本文亦檢測連續績效次數對投資人的影響,而實證結果顯示投資人對績效的趨勢會呈現賭徒謬誤的現象。
Abstract
The key features of this dissertation pertain to limited investor attention and its indirect consequences of conservatism and representativeness biases that have impacts on the Taiwan Stock Market. Thus, this dissertation contributes to the empirical work on investors’ limited attention and heterogeneous beliefs to public information, as well as representativeness heuristics.
This study examines the market reaction of a sequential release of annual reports in Taiwan, in which different stages of attention-grabbing cause different market reactions. Moreover, investors with limited attention have an incomplete understanding about the content of the annual report, in which different years present significant positive or negative reactions of trading volume, and the evidence supports the hypothesis of limited attention.
If people focus primarily on the strength of the evidence, they tend to neglect its weight and manifest representativeness bias. On the other hand, when people are unimpressed by the strength of the evidence, they focus too much on its weight and exhibit conservatism bias. Thus, this study distinguishes the behavioral biases between global representativeness bias and local representativeness bias. The results suggest that accounting performances globally have low strength but high weight features, leading investors to show conservatism bias, and other valuation ratios globally have high strength but low weight features, leading investors to exhibit representativeness bias. However, when global sequence is further decomposed into a local sequence, those behavioral biases disappear. This study also sheds light on how investors are sensitive to the streak length of performance, and the empirical evidence indicates that investors exhibit the gambler’s fallacy to the trend of performance.
目次 Table of Contents
Chapter 1: Introduction ………………………………………………………….. 1
1.1 Motivation ………………………………………………………………… 1
1.2 Purposes …………………………………………………………………… 4
1.3 The Structure of the Dissertation ………………………………………….. 8
Chapter 2: Literature Review ……………………………………………………. 10
2.1 Market Reactions to Earnings Announcements ………………………… 10
2.2 Limited Attention ...……………………………………………………… 12
2.3 Representativeness and Conservatism Biases …………………………….. 14
2.4 Other Behavioral Biases …………………………………………………... 16
Chapter 3: Methodology …………………………………………………………. 17
3.1 A Basic Model of Investors’ Limited Attention …………………………… 17
3.2 Empirical Tests of Market Reaction ……………………………………… 20
3.2.1 Measurement of Variables …………………………………………… 20
3.2.2 Control Variables ……………………………………………………. 22
3.3 Psychological Evidence and Operational Definitions …………….. 25
3.4 Measurement of a Firm’s Performance …………………………………… 27
3.4.1 Accounting Performances, Tobin’s Q, and Stock Return ……………. 27
3.4.2 Additional Proxies of Performance ………………………………… 30
3.5 Returns’ Calculations ……………………………………………………… 31
3.6 Sentiment on the Length of Performance ………………………………… 32
Chapter 4: Investors’ Limited Attention ……………………………………… 35
4.1 Data and Sample ………………………………………………………….. 35
4.2 Empirical Results …………………………………………………………. 36
4.2.1 Descriptive Statistics ……………………………………………….. 36
4.2.2 The Market Reaction on the Release Periods of Annual Reports ….. 37
4.2.3 The Market Reaction on Different Release Timings of
Annual Reports ………………………………………………… 41
4.2.4 After Controlling for Firm Characteristics …………………………. 45
4.3 Summary ………………………………………………………………….. 47
Chapter 5: Firm Performances and Behavioral Biases ………………………….. 49
5.1 Data and Sample …………………………………………………………... 49
5.2 Empirical Results …………………………………………………………. 49
5.2.1 Descriptive Statistics …………………………………………………. 49
5.2.2 Global Representativeness Test ……………………………………… 52
5.2.3 Local Representativeness Test ………………………………………. 54
5.2.4 The Length of Firm Performance and the Behavioral Biases ……….. 57
5.3 Summary ………………………………………………………………….. 60
Chapter 6: Reexamination and Robustness Tests ……………………………….. 61
6.1 Data and Sample ………………………………………………………….. 61
6.2 Empirical Results …………………………………………………………. 61
6.2.1 Descriptive Statistics ………………………………………………... 61
6.2.2 Global Representativeness Test ……………………………………... 65
6.2.3 Local Representativeness Test ………………………………………. 68
6.2.4 Sentiment on the Length of Performance ……………………………. 70
6.3 Robustness Checks ……………………………………………………….. 74
6.3.1 Controlling for Magnitude Effects …………………………………… 74
6.3.2 Robustness to Other Measures of Performance ……………………… 74
6.4 Summary ………………………………………………………………….. 75
Chapter 7: Conclusions and Further Study ………………………………………. 77
7.1 Conclusions ……………………………………………………………….. 77
7.2 Further Study …………………………………………………… 80
Appendix ……………………………………………………………… 81
References ……………………………………………………………………… 83
參考文獻 References
1.Asthana, S., Balsam, S., 2001. The effect of EDGAR on the market reaction to 10-K filings. Journal of Accounting and Public Policy 20, 349-372.
2.Asthana, S., Balsam, S., Sankaraguruswamy, S., 2004. Differential response of small versus large investors to 10-K filings on EDGAR. The Accounting Review 79, 571-589.
3.Atiase, R.K., 1985. Predisclosure information, firm capitalization and security price behavior around earnings announcements. Journal of Accounting Research 23, 21-36.
4.Ayton, P., Fischer, I., 2004. The hot hand fallacy and the gambler’s fallacy: Two faces of subjective randomness? Memory & Cognition 32(8), 1369-1378.
5.Ball, R., Brown, P., 1968. An empirical evaluation of accounting income numbers. Journal of Accounting Research 6, 159-178.
6.Ball, R., Kothari, S., 1991. Security returns around earnings announcements. The Accounting Review 66, 718-738.
7.Bamber, L., 1987. Unexpected earnings, firm size, and trading volume around quarterly earnings announcements. The Accounting Review 62, 510-532.
8.Bamber L., Barron, O., Stober, T., 1997. Trading volume and different aspects of disagreement coincident with earnings announcements. The Accounting Review 72, 575-597.
9.Bamber, L., Cheon, Y., 1995. Differential price and volume reactions to accounting earnings announcements. The Accounting Review 70, 417-441.
10.Barber, B., Lee, Y.T., Liu, Y.J., Odean, T., 2008. Just how much do individual investors lose by trading? Review of Financial Studies, forthcoming.
11.Barber, B., Odean, T., 2007. All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors. Review of Financial Studies.
12.Barberis, N., Shleifer, A., Vishny, R., 1998. A model of investor sentiment. Journal of Financial Economics 49(3), 307-343.
13.Barberis, N., Thaler, R., 2003. A survey of behavioral finance. In: Constantinides, G.M., Harris, M., Stulz, R. (Eds.), Handbook of the Economics of Finance. Elsevier North-Holland, Amsterdam, pp. 1051-1121,
14.Beaver, W., 1998. Financial Reporting: An Accounting Revolution. Prentice Hall, New Jersey.
15.Billings, B.K., 1999. Revisiting the relation between the default risk of debt and the earnings response coefficient. The Accounting Review 74, 509-522.
16.Bloomfield, R., Hales, J., 2002. Predicting the next step of a random walk: Experimental evidence of regime-shifting beliefs. Journal of Financial Economics 65(3), 397-414.
17.Brav, A., Heaton, J., 2002. Competing theories of financial anomalies. Review of Financial Studies 15(2), 575-606.
18.Brehmer, B., 1980. In one word: Not from experience. Acta Psychologica 45, 223-241.
19.Campbell, J., Lo, A., MacKinlay, A., 1997. The Econometrics of Financial Markets. Princeton University Press, New Jersey.
20.Carhart, M., 1997. On persistence in mutual fund performance. Journal of Finance 52(1), 57-82.
21.Chamber, A., Penman, S., 1984. Timeliness of reporting and the stock price reaction to earnings announcements. Journal of Accounting Research 22, 21-47.
22.Chan, W., Frankel, R., Kothari, S.P., 2004. Testing behavioral finance theories using trends and consistency in financial performance. Journal of Accounting and Economics 38, 3-50.
23.Chan, L.K., Jegadeesh, N., Lakonishok, J., 1996. Momentum strategies. Journal of Finance 51(5), 1681-1713.
24.Corwin, S., Coughenour, J.F., 2008. Limited attention and the attention of effort in securities trading. Journal of Finance, forthcoming.
25.Cready, M., Mynatt, P., 1991. The information content of annual reports: A price and trading response analysis. The Accounting Review 66, 291-312.
26.Daniel, K., Titman, S., 2006. Market reactions to tangible and intangible information, Journal of Finance, 61(4), 1605-1643.
27.DeBondt, W., Thaler, R., 1985. Does the stock market overreact? Journal of Finance 40, 793-805.
28.DeBondt, W., Thaler, R., 1987. Further evidence of investor overreaction and stock market seasonality. Journal of Finance 42, 557-581.
29.De Long, J., Shleifer, A., Summers, L., Waldmann, R., 1990. Positive feedback investment strategies and destabilizing rational speculation. Journal of Finance 45, 379-395.
30.Demsetz, H., Villalonga, B., 2001. Ownership structure and corporate performance. Journal of Corporate Finance 7, 209-233.
31.Denis, D., Dennis, D., Sarin, A., 1994. The information content of dividend changes: Cash flow signaling, overinvestment, and dividend clienteles. Journal of Financial and Quantitative Analysis 29, 567-587.
32.Dey, M.K., Radhakrishna, B., 2007. Who trades around earnings announcements? Evidence from TORQ data. Journal of Business Finance & Accounting 28(1&2), 199-230.
33.Dhaliwal, D., Lee, K.J., Fargher, N., 1991. The association between unexpected earnings and abnormal security returns in the presence of financial leverage. Contemporary Accounting Research 8, 20-41.
34.Dhaliwal, D., Reynolds, S., 1994. The effect of the default risk of debt on the earnings response coefficient. The Accounting Review 69, 412-419.
35.Dhaliwal, D., Subramanyam, K., Trezevant, R., 1999. Is comprehensive income superior to net income as a measure of firm performance? Journal of Accounting and Economics 26, 43-67.
36.Durham, G., Hertzel, M., Martin, J.P., 2005. The market impact of trends and sequences in performance: New evidence. Journal of Finance 60(5), 2551-2569.
37.Easton, P., Zmijewski, M., 1993. SEC form 10-K/10-Q reports and annual reports to shareholders: Reporting lags and squared market model prediction errors. Journal of Accounting Research 31, 113-129.
38.Edwards, W., 1968. Conservatism in human information processing. In: Kleinmutz, B. (Ed.), Formal Representation of Human Judgment. John Wiley, New York, pp. 17-52.
39.Fama, E., 1998. Market efficiency, long-term returns, and behavioral finance. Journal of Financial Economics 49(3), 283-306.
40.Fama, E., French, K., 1993. Common risk factors in the returns on stocks and bonds. Journal of Financial Economics 33(1), 3-56.
41.Ferguson, T.S., 1989. Who solved the secretary problem? Statistical Science 4(3), 282-296.
42.Fischer, P., Verrecchia, R., 1999. Public information and heuristic trade. Journal of Accounting and Economics 27, 89-124.
43.Freeman, R.N., 1987. The association between accounting earnings and security returns for large and small firms. Journal of Accounting and Economics 9, 195-228.
44.Frieder, L., 2004. Evidence on behavioral biases in trading activity. Working paper. University of California, Los Angeles.
45.Gigerenzer, G., Selten, R., 2001. Rethinking rationality. In: Gigerenzer, G., Selten, R. (Eds.), Bounded Rationality: The Adaptive Toolbox. MIT Press, Cambridge, pp. 1-12.
46.Gilbert, J., Mosteller, F., 1966. Recognizing the maximum of a sequence. Journal of the American Statistical Association 61, 35-73.
47.Gilovich, T., Griffin, D., Kahneman, D., 2002. Heuristics and Biases: The Psychology of Intuitive Judgment. Cambridge University Press, United Kingdom.
48.Gilovich, T., Vallone, R.P., Tversky, A., 1985. The hot hand in basketball: On the misperception of random sequences. Cognitive Psychology 17, 295-314.
49.Givoly, D., Palmon, D., 1982. Timeliness of annual earnings announcements: Some empirical evidence. The Accounting Review 57, 486-508.
50.Griffin, P., 2003. Got information? Investor response to form 10-K and form 10-Q EDGAR filings. Review of Accounting Studies 8, 433-460.
51.Griffin, D., Tversky, A., 1992. The weighing of evidence and the determinants of confidence. Cognitive Psychology 24, 411-435.
52.Grullon, G., Kanatas, G., Weston, J., 2004. Advertising, breadth of ownership, and liquidity. Review of Financial Studies 17(2), 439-461.
53.Gujarati, D., 1995. Basic Econometrics. Third edition. McGraw-Hill, Singapore.
54.Jegadeesh, N., Titman, S., 1993. Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance 48, 65-91.
55.Jegadeesh, N., Titman, S., 2001. Profitability of momentum strategies: An evaluation of alternative explanations. Journal of Finance 56, 699-720.
56.Hirshleifer, D., 2001. Investor psychology and asset pricing. Journal of Finance 56(4), 1533-1597.
57.Hirshleifer, D., Hou, K., Teoh, S.H., Zhang, Y., 2004. Do investors overvalue firms with bloated balance sheets? Journal of Accounting and Economics 38, 297-331.
58.Hirshleifer, D., Lim, S., Teoh, S.H., 2002. Disclosure to a credulous audience: The role of limited attention. Working paper. Ohio State University.
59.Hirshleifer, D., Teoh, S.H., 2003. Limited attention, information disclosure, and financial reporting. Journal of Accounting and Economics 36, 337-386.
60.Hirshleifer, D., Teoh, S.H., 2005. Limited investor attention and stock market misreactions to accounting information. Working paper. Ohio State University.
61.Holthausen, R., Verrecchia, R., 1990. The effect of informedness and consensus on price and volume behavior. The Accounting Review 65, 191-208.
62.Hong, H., Stein, J.C., 1999. A unified theory of underreaction, momentum trading, and overreaction in asset markets. Journal of Finance 54, 2143-2184.
63.Hong, H., Stein, J.C., 2007. Disagreement and the stock market. Journal of Economic Perspectives 21(2), 109-128.
64.Kahneman, D., 1973. Attention and Effort. Prentice Hall, New Jersey.
65.Kahneman, D., Slovic, P., Tversky, A., 1982. Judgment under Uncertainty: Heuristics and Biases. Cambridge University Press, United Kingdom.
66.Kahneman, D., Tversky, A., 1972. Subjective probability: A judgment of representativeness. Cognitive Psychology 3, 430-454.
67.Kao, L., Chiou, J., Chen, A., 2004. The agency problems, firm performance and monitoring mechanisms: The evidence from collateralized shares in Taiwan. Corporate Governance: An International Review 12, 389-402.
68.Kross, W., 1981. Earnings and announcement time lag. Journal of Business Research 9, 267-281.
69.Kross, W., Schroeder, D., 1984. An empirical investigation of the effect of quarterly earnings announcement timing on stock returns. Journal of Accounting Research 22, 153-176.
70.Lakonishok, J., Shleifer, A., Vishny, R., 1994. Contrarian investment, extrapolation, and risk. Journal of Finance 49(5), 1541-1578.
71.Lang, L., Stulz, R., 1994. Tobin’s Q, corporate diversification, and firm performance. Journal of Political Economy 102, 1248-1280.
72.Lee, Y.T., Fox, R.C., Liu, Y.J., 2001. Explaining intraday pattern of trading volume from the order flow data. Journal of Business Finance & Accounting 28(1&2), 199-230.
73.Li, Chun-An, 1999. A model of hindsight, and security market underreaction/ overreaction. Journal of Financial Studies 7(1), 17-58 (in Chinese).
74.Martignon, L., Laskey, K.B., 1999. Bayesian benchmarks for fast and frugal heuristics. In: Gigerenzer, G., Todd, P.M., ABC Research Group (Eds.), Simple Heuristics that Make Us Smart. Oxford University Press, New York, pp.169-188.
75.McGahan, A., 1999. The performance of US corporations: 1981-1994. Journal of Industrial Economics 47, 373-398.
76.Merton, R., 1987. A simple model of capital market equilibrium with incomplete information. Journal of Finance 42, 483-510.
77.Milliken, B., Tipper, S., 1998. Attention and inhibition. In: Pashler, H. (Ed.), Attention. Psychology Press, United Kingdom, pp. 191-221.
78.Morse, D., 1981. Price and trading volume reaction surrounding earnings announcements: A closer examination. Journal of Accounting Research 19, 374-383.
79.Newey, W., West, K., 1987. A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55(3), 703-708.
80.Odean, T., 1999. Do investors trade too much? American Economic Review 89, 1279-1298.
81.Pashler, H., 1998. Introduction. In: Pashler, H. (Ed.), Attention. Psychology Press, United Kingdom, pp. 1-11.
82.Peng, L., Xiong, W., 2006. Investor attention, overconfidence and category learning. Journal of Financial Economics 80(3), 563-602.
83.Qi, D., Wu, W., Haw, I.M., 2000. The incremental information content of SEC 10-K reports filed under the EDGAR system. Journal of Accounting, Auditing and Finance 15, 25-46.
84.Rabin, M., 2002. Inference by believers in the law of small numbers. Quarterly Journal of Economics 117, 775-816.
85.Rohrbach, K., Chandra, R., 1989. The power of beaver’s U against a variance increase in market model residuals. Journal of Accounting Research 27, 145-155.
86.Ross, S.M., 2003. Introduction to Probability Models. Eighth edition. Academic Press, International Edition, pp.123-124.
87.Shefrin, H., 2002. Beyond Greed and Fear: Understanding Behavioral Finance and the Psychology of Investing. Oxford University Press, Oxford.
88.Shefrin, H., 2005. A Behavioral Approach to Asset Pricing. Elsevier Academic Press, United Kingdom.
89.Simon, H.A., 1956. Rational choice and the structure of environment. Psychological Review 63, 129-138.
90.Simon, H.A., 1978. Rationality as process and as product of a thought. American Economic Review 68, 1-16.
91.Sloan, R., 1996. Do stock prices fully reflect information in accruals and cash flows about future earnings? Accounting Review 71, 289-315.
92.Stice, Earl, 1991. The market reaction to 10-K and 10-Q filing and to subsequent Wall Street Journal earnings announcements. The Accounting Review 66, 42-55.
93.Tuttle, B., Coller, M., Burton, F.G., 1997. An examination of market efficiency: Information order effects in a laboratory market. Accounting, Organizations and Society 22(1), 89-103.
94.Tversky, A., Kahneman, D., 1971. The belief in the ‘law of small numbers’. Psychological Bulletin 76,105-110.
95.Tversky, A., Kahneman, D., 1974. Judgment under uncertainty: Heuristics and biases. Science 185, 1124-1131.
96.Verrecchia, R., 1981. On the relationship between volume reaction and consensus of investors: Implications for interpreting tests of information content. Journal of Accounting Research 19, 271-283.
97.White, H., 1980. A heteroscedasticity-consistent covariance matrix estimator and a direct test for heteroscedasticity. Econometrica 48, 817-838.
98.Wu, C.H., Liu V.W., 2006. A study on the performance of listed firm and investors’ behavioral biases in the Taiwan stock market. Journal of Financial Studies 14(2), 1-39 (in Chinese).
99.Wu, C.H., Wu, C.S., Liu, V.W., 2007. Investor sentiment: Representativeness and conservatism biases. International Colloquium on Business and Management, Bangkok, Thailand.
100.Wu, C.H., Wu, C.S., Liu, V.W., 2008. The information effects of annual report releases and investors’ limited attention. Global Conference on Business and Finance, Hawaii, USA.
101.Xie, H., 2001. The mispricing of abnormal accruals. The Accounting Review 76, 357-373.
102.Yantis, S., 1998. Control of visual attention. In: Pashler, H. (Ed.), Attention. Psychological Press, United Kingdom, pp. 223-256.
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:校內外都一年後公開 withheld
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