簡易檢索 / 詳目顯示

研究生: 林文偉
Wen-wei Lin
論文名稱: 分析師過度樂觀與過度自信之研究
The Study of Analysts' Overoptimism and Overconfidence
指導教授: 莊文議
Wen-i Chuang
口試委員: 張光第
none
詹家昌
none
學位類別: 碩士
Master
系所名稱: 管理學院 - 財務金融研究所
Graduate Institute of Finance
論文出版年: 2009
畢業學年度: 97
語文別: 中文
論文頁數: 78
中文關鍵詞: 分析師盈餘預測過度樂觀過度自信
外文關鍵詞: analyst, earnings forecast, overoptimism, overconfidence
相關次數: 點閱:282下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究主要在探討分析師在做盈餘預測時,是否會有過度樂觀及過度自信之偏誤,以及分析師盈餘預測過度樂觀與過度自信之強弱關聯,研究結果發現,在沙賓法案通過之前,分析師盈餘預測存在過度樂觀之偏誤,而當分析師接受到較佳的訊息時,所作的盈餘預測過度樂觀程度也較為嚴重,且過度樂觀之偏誤在空頭市場時較多頭市場強烈。此外,亦發現沙賓法案通過之前,分析師盈餘預測會過度重視其本身之私有資訊,且當分析師接受到較佳訊息時,其分析師的資訊權重偏誤行為來自於誘因假說。為符合研究需要,本研究截取出分析師過度著重其私有資訊之偏誤是來自於分析師本身的過度自信之樣本,以進行分析師盈餘預測過度樂觀與過度自信之強弱關聯之研究,結果發現,分析師盈餘預測過度樂觀偏誤較嚴重,其過度自信之偏誤亦較強,而過度自信偏誤較嚴重之樣本,其過度樂觀的程度亦較高。而在盈餘預測共識值準確度與交易量之分析中,研究發現盈餘預測共識值準確度與成交量為正向相關,且資訊透明度較高的公司,盈餘預測共識值準確度對交易量之影響較大。


    The purpose of this study comprehend the relationship between overoptimism and overconfidence when analysts forecast earnings, the results found that prior to the Sarbanes-Oxley Act, analysts forecast exist overoptimism, and when analysts receive a better message and recession, the degree of overoptimism is more serious. In addition, also found that prior to the Sarbanes-Oxley, analysts overweight their private information in their earnings forecast, and when analysts receive a better message, the overweight bias comes from incentives hypothesis. To meet the research needs, the study choose data whose overweight bias comes from overconfidence hypothesis, and the result found that analyst earnings forecasts overoptimism is more serious, the bias of overconfidence is stronger, and the overconfidence more is serious, the degree of overoptimism is stronger. The study also found that the accuracy of earnings forecast is positive correlation with the trading volume, and higher corporation information transparency, the accuracy of earnings forecast of the impact on trading volume larger.

    中文摘要 …………………………………………………………………………Ⅰ 英文摘要 …………………………………………………………………………Ⅱ 致謝 ………………………………………………………………………………Ⅲ 目錄 ………………………………………………………………………………Ⅳ 圖表索引 …………………………………………………………………………Ⅴ 第壹章 緒論 ……………………………………………………………………1 第一節 研究動機 ………………………………………………………………1 第二節 研究目的 ………………………………………………………………2 第三節 論文架構 ………………………………………………………………2 第貳章 相關文獻探討 ………………………………………………………4 第一節 過度樂觀之相關文獻探討 ……………………………………………4 第二節 過度自信之相關文獻探討 ……………………………………………9 第三節 其他文獻探討 …………………………………………………………13 第参章 資料與研究方法 ……………………………………………………16 第一節 資料來源 ………………………………………………………………16 第二節 變數定義 ………………………………………………………………16 第三節 研究方法 ………………………………………………………………21 第肆章 實證結果與分析 ……………………………………………………29 第一節 分析師盈餘預測過度樂觀之實證分析 ………………………………29 第二節 分析師盈餘預測過度自信之實證分析 ………………………………35 第三節 過度樂觀與過度自信之強弱關聯 ……………………………………44 第四節 盈餘預測共識值準確度與交易量 ……………………………………65 第伍章 結論與建議 …………………………………………………………72 第一節 結論 ……………………………………………………………………72 第二節 建議 ……………………………………………………………………73 參考文獻 …………………………………………………………………………74

    陳啟文,2001,財務分析師盈餘預測行為分析與探討,政治大學財務管理研究所
    未出版碩士論文。

    顏信輝、丁緯,2004,「由心理學經驗法則觀點探討盈餘預測之偏誤類型:併論
    盈餘水準之影響」,當代會計,第5 卷第2 期,頁139-174。

    陳信憲、王南喻和陳怡珮,2005,「證券分析師對香港及新加坡股市盈餘預測與
    股價關聯之研究」,台灣金融財務季刊,第6 輯第1 期,頁53-69。

    Abarbanell, J.S. and Bernard, V.L. 1992. Tests of Analysts’ Overreaction/Underreact-
    ion to Earnings Information As an Explanation for Anomalous Stock Price Beha-
    vior. The Journal of Finance, 47: 1181-1207.

    Affleck-Graves, J., Davis, L.R., Mendenhall, R.R. 1990. Forecasts of Earnings Per
    Share: Possible Sources of Analyst Superiority and Bias. Contemporary Accou-
    nting Research, 6(2): 501-517

    Alford, A., Berger, P., 1999. A simultaneous equations analysis of forecast accuracy, analyst following,and trading volume. Journal of Accounting, Auditing & Fin- ance 14, 219–240.

    Amir, E., Ganzach, Y. 1998. Overreaction and Underreaction in Analysts’ Forecasts.
    Journal of Economics Behavior & Organization, 37: 333-347.

    Barron, O.E. (1995). Trading volume and belief revisions that differ among individual analysts, The Accounting Review, 70, 581-597.

    Beckers, S., Steliaros, M., and Thomson, A. 2004. Bias in European Analysts’ Earnings Forecasts . Financial Analysts Journal, 60(2): 74-85.

    Chen, Q., & Jiang, W. (2006). Analysts' weighting of private and public information. Review of Financial Studies, 19, 319−355.

    Chopra, Vijay K., 1998, Why so much error in analysts' earnings forecasts? Financial Analysts Journal 54, 30-37.

    Chordia, T., R. Roll, and A. Subrahmanyam 2006, “The Cross-Section of Expected
    Trading Activity.” Review of Financial Studies, 20, 709-740.

    Daniel, K., Hirshleifer, D., and Subramanyam, A., 1998. Investor psychology and security market under- and overreactions.The Journal of Finance 53, 1839–1885.

    Das, S., C. B. Levin, and K. Sivaramakrishnan. 1998. Earnings predictability and bias in analysts’ earnings forecasts. The Accounting Review 73(2): 277-294.

    De Bondt, W. F. M., Thaler, R. H. 1990. Do Security Analysts Overreact? The Amer- ican Economic Review, 80(2): 52-57.

    De Bondt, W. F. M. and R. H. Thaler. 1995. “Financial decision-making in markets
    and firms: A behavioral perspective.” Robert A. Jarrow, V. Maksimovic, and W. Z.Ziemba, ed.: Finance, Handbooks in Operations Research and Management
    Science 9, 385-410 (Amsterdam: North Holland).

    De Bondt, W. F. M., Forbes, W. P. 1999. Herding in Analyst Earnings Forecasts:
    Evidence from the United Kingdom. European Financial Management, 5(2):
    143-163.

    Dechow, P.M., Hutton, A.P., and Sloan, R.G. 2000. The Relation between analysts’ Forecasts of Long-Term Earnings Growth and Stock Price Performance Following Equity Offerings. Contemporary Accounting Research, 17(1): 1-32.

    Doukas, John A., Kim, C., and Pantzalis, C. 2002, A test of the errors-inexpectations explanation of the value/glamour stock returns performance: Evidence from analysts’ forecasts, Journal of Finance 57, 2143-2165.

    Dreman, D. N., and Berry, M. A. 1995a. Analyst forecasting errors and their implica- tions for security analysis. Financial Analysts Journal 51 (May/June): 30–41.

    Dubra, J., 2004, “Optimism and overconfidence in search” Review of Economic Dyn- amics 7,198-218

    Dugar, A., Nathan, S. 1995. The Effect of Investment Banking Relationships on Financial Analysts’ Earnings Forecasts and Investment Recommendations. Contemorary Accounting Research, 12(1): 131-160.

    Easterwood, J. C., Nutt, S. R. 1999. Inefficiency in Analysts’ Earnings Forecasts:
    Systematic Misreaction or systematic Optimism. The Journal of Finance, 54(5):
    1777-1797.

    Efron, B. 1979, “Bootstrap methods: Another look at the jackknife.” The annals of statistics, Vol. 7, 1-26.

    Ehrbeck, T., Waldmann, R., 1996. Why are professional forecasters biased? Agency versus behavioral explanations. Quarterly Journal of Economics 111, 21–40.

    Elliott, J.A., Philbrick, D.R. and Wiedman, C.I. 1995. Evidence from Archival Data
    on the Relation between Security Analysts’ Forecast Errors and Prior Forecast Revisions. Contemporary Accounting Research, 11(): 919-938.

    Friesen,G., and Weller, P. 2006.Quantifying cognitive biases in analyst earnings forec- asts. Journal of Financial Markets, 9, 333−365.

    Francis, J. and D. Philbrick. 1993. Analysts’ decisions as products of a multi-task env- ironment. Journal of Accounting Research 31(2):216-230.

    Gervais, S., and T. Odean, 2001, ‘‘Learning to be Overconfident,’’ Review of Finan- cial Studies, 14, 1–27

    Glaser, M. and Weber, M. 2003, Overconfidence and trading volume, Working Paper.

    Loeffler, G. 1998. Biases in analyst forecasts: cognitive, strategic or second-best? International Journal of Forecasting, 14 (1998) 261–275

    Griffin, D., and Tversky, A. 1992, ‘‘The Weighing of Evidence and the Determinants of Overconfidence,’’Cognitive Psychology, 24, 411–435.
    Guedj, O., and Bouchaud, J. P. 2005. Experts’ Earning Forecasts: Bias, Herding and Gossamer Information. International Journal of Theoretical and Applied Finance,8(7): 933-946.

    Hilary, G., & Menzly, L. 2006. Does past success lead analysts to become overconf- ident? Management Science, 52(4), 489–500.

    Irvine, P. J., 2004, ‘‘Analysts’ Forecasts and Brokerage-Firm Trading,’’ Accounting Review, 79, 125–149.

    Kahneman, D., and Riepe, M. W. 1998.“Aspects of investor psychology, ”
    Journal of Portfolio Management, 52-65.

    Kothari, S. 2001. Capital market research in accounting. Journal of Accounting and
    Economics, 31: 105-231.

    Leone, A., and Wu, J. S., 2002 What does it take to become a superstar? Evidence from institutional investor rankings of financial analysts, working paper, University of Rochester

    Lichtenstein, S., Fischhoff, B and Philips, L. 1982. “Calibration of probabilities:
    The state of the art to 1980, in Daniel Kahneman, Paul Slovic, and Amos Tvers-
    ky,ed.: Judgment Under Uncertainty : Heuristics And Biases 306-334, New
    York;Cambridge University Press.

    Loh, R., and Mian, G.“Do Accurate Earnings Forecasts Facilitate Superior Investment
    Recommendations?” Journal of Financial Economics, LXXX,(2006),455-483.

    Lys, T., and Soo, L. 1995 "Analysts' Forecast Precision as a Response to Competition.
    " Journal of Accounting, Auditing and Finance 10 (1995): 751-65.

    Lys, T., and Sohn, S. 1990, ‘‘The Association between Revisions of Financial Analy- sts’ Earnings Forecasts and Security-Price Changes,’’ Journal of Accounting and Economics, 13, 341–363.

    Malmendier, U., and Tate , G.A. 2005,”CEO overconfidence and corporate investment” Journal of Finance 60, No. 6, 2661-2700
    Nofsinger, J, R., 2001, The impact of public information in investors, Journal of Banking and Finance 25, 1339-1366.

    Richardson, S., Teoh, S., and Wysocki, P. 2001. The walkdown to beatable analysts forecasts: The roles of equity issuance and insider trading incentives, Working paper, University of Michigan.

    Shefrin, H. and Statman, M. 1994..“Behavioral capital asset pricing theory,”
    Journal of Finance and Quantitative Analysis 29, 323-349.

    Yaniv, I. 2004. Receiving other people's advice: Influence and benefit.Organ. Behav. Human Decision Processes 94(1) 1-13

    無法下載圖示 全文公開日期 2014/07/02 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)
    全文公開日期 本全文未授權公開 (國家圖書館:臺灣博碩士論文系統)
    QR CODE