English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113656/144643 (79%)
Visitors : 51733397      Online Users : 325
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 會計學系 > 學位論文 >  Item 140.119/124104
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/124104


    Title: 年報語調與盈餘預測之關聯性
    Association between Tone in Annual Reports and Future Earnings
    Authors: 謝明珊
    Hsieh, Ming-Shan
    Contributors: 陳宇紳
    謝明珊
    Hsieh, Ming-Shan
    Keywords: 語調
    文字分析
    盈餘預測
    Tone
    Textual analysis
    Earnings forecast
    Date: 2019
    Issue Date: 2019-07-01 10:41:13 (UTC+8)
    Abstract: 本研究旨在探討年報的質化資訊是否可以預測未來盈餘及提升盈餘預測的準確度。我將年報中的文字分成正面與負面詞語,並透過正負面語調作為衡量質化資訊的變數。實證結果發現,年報的淨語調越正面,未來一年的盈餘越高、分析師盈餘預測也越精確,但若只採用純正面詞語或純負面詞語,則沒有解釋未來盈餘的效果。年報的語調亦會導致分析師做出較不悲觀的預測,並降低預測的離散程度;相反地,純負面詞語會使分析師對未來盈餘更加悲觀,導致預測的離散程度增加。另外,若公司的財務報告為修正式意見,分析師會較依賴文字資訊做為預測盈餘的依憑,進而提升盈餘預測的準確度。總括而言,年報質化資訊與盈餘預測是具有關聯性的。
    This paper investigates whether qualitative information in financial reports can predict future earnings and enhance forecast accuracy. Extracting tone from annual reports as the proxy of qualitative information, I find that both future earnings and forecast accuracy are positively associated with net tone; however, I do not find that positive tone or negative tone exhibits a similar association. I also find that net tone is associated with less pessimistic forecasts and lower forecast dispersion. Contrast to net tone, negative tone is inversely related with pessimistic forecasts and forecast dispersion. Additionally, the association between tone and forecast accuracy is stronger for firms receiving qualified audit opinions. Overall, my findings show that tone in financial statements provide useful information for financial statement users to predict future earnings.
    Reference: Abarbanell, J. S. and B. J. Bushee. 1997. Fundamental Analysis, Future Earnings, and Stock Prices. Journal of Accounting Research 35: 1-24.
    Barron, O. E., C. O. Kile, and T. B. O`KEEFE. 1999. MD&A Quality as Measured by the SEC and Analysts’ Earnings Forecasts. Contemporary Accounting Research 16: 75-109.
    Barron, O. E., D. Byard, and Y. Yu. 2008. Earnings Surprises that Motivate Analysts to Reduce Average Forecast Error. The Accounting Review 83: 303-325.
    Basu, S. and S. Markov. 2004. Loss Function Assumptions in Rational Expectations Tests on Financial Analysts’ Earnings Forecasts. Journal of Accounting and Economics 38: 171-203.
    Beckers, S., M. Steliaros, and A. Thomson. 2004. Bias in European Analysts’ Earnings Forecasts. Financial Analysts Journal 60: 74-85.
    Behn, B. K., J. H. Choi, and T. Kang. 2008. Audit Quality and Properties of Analyst Earnings Forecasts. The Accounting Review 83: 327-349.
    Bhushan, R. 1989. Firm Characteristics and Analyst Following. Journal of Accounting and Economics 11: 255-274.
    Brockman, P. and J. Cicon. 2013. The Information Content of Management Earnings Forecasts: An Analysis of Hard Versus Soft Information. The Journal of Finance Research 36: 147-173.
    Brown, L. D. 2001. A Temporal Analysis of Earnings Surprises: Profits Versus Losses. Journal of Accounting Research 39: 221-241.
    Davis, A. K., and I. Tama-Sweet. 2012. Managers’ Use of Language Across Alternative Disclosure Outlets: Earnings Press Releases Versus MD&A. Contemporary Accounting Research 29: 804-837.
    Davis, A. K., J. M. Piger, and L. M. Sedor. 2012. Beyond the Numbers: Measuring the Information Content of Earnings Press Release Language. Contemporary Accounting Research 29: 845-868.
    Dhaliwal, D. S., S. Radhakrishnan, A. Tsang, and Y. G. Yang. 2012. Nonfinancial Disclosure and Analyst Forecast Accuracy: International Evidence on Corporate Social Responsibility Disclosure. The Accounting Review 87: 723-759.
    Diether, K. B., C. J. Malloy, and A. Scherbina. 2002. Difference of Opinion and the Cross Section of Stock Returns. The Journal of Finance 57: 2113-2141.
    Duru, A. and D. M. Reeb. 2002. International Diversification and Analysts’ Forecast Accuracy and Bias. The Accounting Review 77: 415-433.
    Feldman, R., S. Govindaraj, J. Livnat, and B. Segal. 2010. Management’s Tone Change, Post Earnings Announcement Drift and Accruals. Review of Accounting Studies 15: 915-953.
    Frankel, R., W. J. Mayew, and Y. Sun. 2010. Do Pennies Matter? Investor Relations Consequences of Small Negative Earnings Surprises. Review of Accounting Studies 15: 220-242.
    Gu, Z. and J. S. Wu. 2003. Earnings Skewness and Analysts Forecast Bias. Journal of Accounting and Economics 35: 5-29.
    Hope, O. K. 2003. Accounting Policy Disclosures and Analysts` Forecasts. Contemporary Accounting Research 20: 295-321.
    Huang, A. H., A. Y. Zang, and R. Zheng. 2014. Evidence on the Information Content of Text in Analyst Reports. The Accounting Review 89: 2151-2180.
    Huang, X., S. H. Teoh, and Y. Zhang. 2014. Tone Management. The Accounting Review 89: 1083-1113.
    Jaggi, B. 1980. Further Evidence on the Accuracy of Management Forecasts vis-à-vis Analysts’ Forecasts. The Accounting Review 55: 96-101.
    Kothari, S.P., X. Li, and J. E. Short. 2009. The Effect of Disclosures by Management, Analysts, and Business Press on Cost of Capital, Return Volatility, and Analyst Forecasts: A Study Using Content Analysis. The Accounting Review 84: 1639-1670.
    Kross, W., B. Ro., and D. Schroeder. 1990. Earnings Expectations: The Analysts` Information Advantage. The Accounting Review 65: 461-476.
    Lang, M. H. and R. J. Lundholm. 1996. Corporate Disclosure Policy and Analyst Behavior. The Accounting Review 71: 467-492.
    Larcker, D. F. and A. A. Zakolyukina. 2012. Detecting Deceptive Discussions in Conference Calls. Journal of Accounting Research 50: 495-540.
    Lehavy, R., F. Li, and K. Merkley. 2011. The Effect of Annual Report Readability on Analyst Following and the Properties of Their Earnings Forecasts. The Accounting Review 86: 1087-1115.
    Lev, B. and S. R. Thiagarajan. 1993. Fundamental Information Analysis. Journal of Accounting Research 31: 190-215.
    Li, F. 2008. Annual Report Readability, Current Earnings, and Earnings Persistence. Journal of Accounting and Economics 45: 221-247.
    Li, F. 2010. The information Content of Forward-Looking Statements in Corporate Filings—A Naïve Bayesian Machine Learning Approach. Journal of Accounting Research 48: 1049-1102.
    Li, F., R. Lundholm, and M. Minnis. 2013. A Measure of Competition Based on 10-K Filings. Journal of Accounting Research 51: 399-436.
    Lim, T. 2001. Rationality and Analysts’ Forecast Bias. The Journal of Finance 56: 369-385.
    Loughran, T., and B. McDonald. 2011. When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10-Ks. The Journal of Finance 66: 35-65.
    Ou, J. A. and S. H. Penman. 1989. Financial Statement Analysis and the Prediction of Stock Returns. Journal of Accounting and Economics 11: 295-329.
    Stickel, S. E. 1989. The Timing of and Incentives for Annual Earnings Forecasts Near Interim Earnings Announcements. Journal of Accounting and Economics 11: 275-292.
    Stober, T. L. 1992. Summary Financial Statement Measures and Analysts’ Forecasts of Earnings. Journal of Accounting and Economics 15: 347-372.
    Tetlock, P. C. 2007. Giving Content to Investor Sentiment: The Role of Media in the Stock Market. The Journal of Finance 62: 1139-1168.
    Tetlock, P. C., M. Saar-Tsechansky, and S. Macskassy. 2008. More than Words: Quantifying Language to Measure Firm’s Fundamentals. The Journal of Finance 63: 1437-1467.
    Weiss, D., P. A. Naik, and C. L. Tsai. 2008. Extracting Forward-Looking Information from Security Prices: A New Approach. The Accounting Review 83: 1101-1124.
    Zhang, X. F. 2006. Information Uncertainty and Stock Returns. The Journal of Finance 61: 105-137.
    Description: 碩士
    國立政治大學
    會計學系
    106353021
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0106353021
    Data Type: thesis
    DOI: 10.6814/NCCU201900075
    Appears in Collections:[會計學系] 學位論文

    Files in This Item:

    There are no files associated with this item.



    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback