| 研究生: |
周佳蓉 Chou, Chia-Jung |
|---|---|
| 論文名稱: |
分析師是否考慮與理解顧客集中度對未來盈餘的資訊性? Do Analysts Impound and Understand the Informativness of Customer Concentration? |
| 指導教授: |
周庭楷
Chou, Ting-Kai |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 會計學系 Department of Accountancy |
| 論文出版年: | 2020 |
| 畢業學年度: | 108 |
| 語文別: | 中文 |
| 論文頁數: | 22 |
| 中文關鍵詞: | 顧客集中度 、分析師盈餘預測修訂 、分析師盈餘預測偏誤 、分析師經驗 |
| 外文關鍵詞: | changes in customer concentration, analyst forecast revision, analyst forecast error, analyst experience |
| 相關次數: | 點閱:153 下載:8 |
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本研究探討分析師在進行盈餘預測時,是否將公司顧客集中度對企業未來盈餘的影響,納入其考慮範圍內,以及對該指標是否能正確地理解。利用1988年至2018年間有關顧客集中度變化的資料。根據Patatoukas(2012)的發現,顧客集中度是個領先指標,因為公司的顧客集中度增加,可以預測該公司未來的營業績效將提升,因此探討顧客集中度的變化是否影響分析師盈餘預測修訂。研究結果發現分析師的盈餘預測修訂受顧客集中度變化的影響,亦即分析師在進行盈餘預測時會考量顧客集中度的資訊。然而研究結果亦發現預測偏誤與顧客集中度變化呈正相關,表明分析師並未完全理解顧客集中度對未來盈餘的含義。最後,本研究發現與其他分析師相比,經驗更豐富的分析師,能更理解顧客集中度對未來盈餘的影響。
Prior studies suggest that customer concentration is a leading indicator of performance in business, because efficiencies accrue to suppliers with concentrated customer bases. This study uses samples from 1988 to 2018 listed companies in the U.S. to examine whether analysts accurately capture and understand the information contained in measures of customer concentration. This study hypothesizes that analysts can incorporate changes in customer concentration in their earnings forecasts, but often can’t fully understand the meaning of them. This study finds that analysts revise their earnings forecasts in response to changes in customer concentration even though they do not fully understand the implications of what is contained in their customer concentration data. The study then provides evidence that analysts with more experience are better at appreciating the implications of customer concentration data than others. Overall, our findings suggest that analysts often have difficulty completely understanding the meaning of complicated information.
Abarbanell, J. S. 1991. Do analysts’ earnings forecasts incorporate information in prior stock price changes? Journal of Accounting and Economics 14, 147–165.
Abarbanell, J. and V. Bernard. 1992. Tests of Analysts’ Overreaction/Underreaction to Earnings Information as an Explanation for Anomalous Stock Price Behavior. Journal of Finance 47, 1187–1207.
Agarwal, V. and D. Hess. 2012. Common factors in analyst’s earnings revisions: The role of changing economic conditions. Working paper, Goergia State University.
Ali, A., A. Klein, and J. Rosenfeld. 1992. Analysts’ Use of Information about Permanent and Transitory Earnings Components in Forecasting Annual EPS. The Accounting Review 67, 183–198.
American Institute of Certified Public Accountants (AICPA). 1994. Improving Business Reporting – A Customer Focus: Meeting the Information Needs of Investors and Creditors. New York, NY: AICPA.
Amir, E. and B. Lev. 1996. Value-Relevance of Nonfinancial Information: The Wireless Communications Industry. Journal of Accounting and Economics 22, 3–30.
Amir, E. & Sougiannis, T. 1999. Analysts’ interpretation and investors’ valuation of tax carryforwards. Contemporary Accounting Research 16, 1-33.
Amir, E. and Lev, B. 2003. Do financial analysts get intangibles?. European Accounting Review 12, 635–659.
Asquith, P., M. B. Mikhail, and A. S. Au. 2005. Information content of equity analyst reports. Journal of Financial Economics 75, 245–282.
Baik, B., Kim, Y J. and Roh, Y. 2015. Do Analysts Account for Revisions in Loss Reserves of Property-Casualty Insurers? Working paper, College of Business Administration Seoul National University.
Banerjee, S., Dasgupta, S., Kim, Y. 2008. Buyer–supplier relationships and the stakeholder theory of capital structure. Journal of Finance 63, 2507–2552.
Barth, M. E., R. Kasznik and M. F. McNichols. 2001. Analyst Coverage and Intangible Assets. Journal of Accounting Research 39, 1–34.
Behn, B. K. 1996. Value Implications of Unfilled Order Backlogs. Advances in Accounting 14, 61–84.
Bowen, R. M., A. K. Davis, and D. A. Matsumoto. 2002. Do conference calls affect analysts’ forecasts? The Accounting Review 77, 285–316.
D. Bradley, S. Gokkaya, X. Liu. 2017. Before an analyst becomes an analyst: does industry experience matter? J. Finance, 57, 751-792.
Bradshaw, M., S. Richardson, and R. Sloan. 2001. Do analysts and auditors use information in accruals? Journal of Accounting Research 39, 45–74.
Bradshaw, M. 2011. Analysts forecasts: What do we know after decades of work? Working paper, Boston College.
Brown, L. D., Hagerman, R. L. Griffin, P. A., & Zmijewski, M. E. 1987. Security analyst superiority relative to univariate time-series models in forecasting quarterly earnings. Journal of Accounting and Economics 9, 61-87.
Brown, L. 1997. Analyst forecasting errors: Additional evidence. Financial Analysts Journal 53, 81–8.
Brown, S., K. Lo and T. Lys. 1999. Use of R2 in Accounting Research: Measuring Changes in Value Relevance over the Last Four Decades. Journal of Accounting and Economics 28, 83–115.
Brown, L. 2001. A temporal analysis of earnings surprises: Profits and losses. Journal of Accounting Research 39, 221–241.
Campello M, Gao J. 2017. Customer concentration and loan contract terms. J. Financial Econom. 123, 108–136.
Clement, M. B. 1999. Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter? Journal of Accounting and Economics 27, 285-303.
Clement, M. B. and S. Y. Tse. 2005. Financial analyst characteristics and herding behavior in forecasting. Journal of Finance 60, 307–341.
Clement, M. B., J. Hales, and Y. Xue. 2011. Understanding analysts’ use of stock returns and other analysts’ revisions when forecasting earnings. Journal of Accounting and Economics 51, 279–299.
Collins, D. W., E. L. Maydew and I. S. Weiss. 1997. Changes in the Value-relevance of Earnings and Book Values over the Past Forty Years. Journal of Accounting and Economics 24, 39–67.
Conrad, J., B. Cornell, W. R. Landsman, and B. R. Rountree. 2006. How do analyst recommendations respond to major news? Journal of Financial and Quantitative Analysis 41, 25.
D’Avolio, G., E. Gildor and A. Shleifer. 2001. Technology, Information Production, and Market Efficiency. Working paper, Harvard Institute of Economic Research.
Daniel A. Cohen and Bin Li. 2020. Customer-Base Concentration, Investment, and Profitability: The U.S. Government as a Major Customer. The Accounting Review 95, 101-131.
Damodaran, A. 2001. The Dark Side of Valuation: Valuing Old Tech, New Tech and New Economy Companies. New Jersey: Financial Times Prentice Hall.
Das, S., Levine, C. B., & Sivaramakrishnan, K. 1998. Earnings predictability and bias in analysts' earnings forecasts. The Accounting Review 73, 277-294.
Deng, Z, B. Lev and F. Narin. 1999. Science and Technology as Predictors of Stock Performance. Financial Analysts Journal 55, 20–32.
D.S. Dhaliwal, S. Radhakrishnan, A. Tsang, Y.G. Yang. 2012. Nonfinancial disclosure and analyst forecast accuracy: International evidence on corporate social responsibility disclosure. The Accounting Review 87, 723-759.
Dhaliwal, D., Michas, P.N., Naiker, V., Sharma, D. 2014. Major customer reliance and auditor going-concern decisions. Working Paper. The University of Arizona.
D. Dhaliwal, J.S. Judd, M.A. Serfling, S.A. Shaikh. 2016. Customer concentration risk and the cost of equity capital. Journal of Accounting and Economics, 61, 23-48.
Eccles, R. G., R. H. Herz, M. Keegan and D. M. H. Phillips. 2001. The Value Reporting Revolution: Moving Beyond the Earnings Game. New York: John Wiley & Sons.
Elgers, P., and H. Lo. 1994. “Reductions in Analysts’ Annual Earnings Forecast Errors Using Information in Prior Earnings and Security Returns.” Journal of Accounting Research 32: 290–303.
Ely, K. M. and V. Mande. 1996. The interdependent use of earnings and dividends in financial analysts’ earnings forecasts. Contemporary Accounting Research 13, 435–456.
Francis J. and K. Schipper. 1999. Have Financial Statements Lost Their Relevance? Journal of Accounting Research 37, 319–352.
Gu, F. 2005. Innovation, future earnings, and market efficiency. Journal of Accounting, Auditing and Finance 20, 385–418.
Irvine, P. J., Park, S. S., & Yildizhan, C. 2014. Customer‐base concentration, profitability and distress across the corporate life cycle. Working paper, Texas Christian University, Fort Worth, TX.
Irvine, P. J., Park, S. S., & Yildizhan, C. 2016. Customer‐base concentration, profitability and the relationship life cycle. The Accounting Review, 91, 883–906.
Ittner, C. and D. Larcker. 1998a. Are Nonfinancial Measures Leading Indicators of Financial Performance? An Analysis of Customer Satisfaction. Journal of Accounting Research 36, 1–36.
Ittner, C. and D. Larcker. 1998b. Innovations in Performance Measurement: Trends and Research Implications. Journal of Management Accounting Research 10, 205–238.
Jennings, R. 1987. Unsystematic security price movements, management earnings forecasts, and revisions in consensus analyst earnings forecasts. Journal of Accounting Research 25, 90–110.
Kim DH, Orphanides A. 2012. Term structure estimation with survey data on interest rate forecasts. Journal of Financial and Quantitative Analysis 47, 241– 272.
Klein, A. 1990. A Direct Test of the Cognitive Bias Theory of Share Price Reversals. Journal of Accounting and Economics 13, 155–166.
Kothari, S. P. 2001. Capital Markets Research in Accounting. Journal of Accounting and Economics 31, 105–231.
Lang, M. H., & Lundholm, R. J. 1996. Corporate disclosure policy and analyst behavior. The Accounting Review 71, 467-492.
S. M. Lee, P. Jiraporn, and H. Song. 2020. Customer concentration and stock price crash risk. J. Bus. Res., 110, 327–346.
Lev, B. and P. Zarowin. 1999. The Boundaries of Financial Reporting and How to Extend Them. Journal of Accounting Research 37, 353–385.
Lev, B. 2001. Intangibles: Management, Measurement, and Reporting. Washington, D.C.: Brookings Institution Press. pp. viii+216.
Li, X., & Shi, W. 2017. Analyst Characteristics and Earnings Forecast Errors. MSc in Finance Project-Simon Fraser University.
Lim, T. 2001. Rationality and Analysts’ Bias. Journal of Finance 56: 369–385.
Matsumoto, D. 2002. Management’s incentives to avoid negative earnings surprises. The Accounting Review 77, 483–514.
Mendenhall, R. 1991. Evidence on the Possible Underweighting of Earnings-Related Information. Journal of Accounting Research 29, 170–179.
Patatoukas, P. N. 2012. Customer‐Base Concentration: Implications for Firm Performance and Capital Markets. Accounting Review 82: Forthcoming.
Previts, G. J., R. J. Bricker, T. R. Robinson, and S. J. Young. 1994. A content analysis of sell-side financial analyst company reports. Accounting Horizons 8, 55–55.
Rajgopal, S., M. Venkatachalam and S. Kotha. 2003. The Value Relevance of Network Advantages: The Case of E-commerce Firms. Journal of Accounting Research 41, 135–162.
Rajgopal, S., T. Shevlin, and M. Venkatachalam. 2003. Does the stock market fully appreciate the implications of leading indicators for future earnings? Evidence from order backlog. Review of Accounting Studies 8, 461–92.
Richardson, S., S. Teoh, and P. Wysocki. 2004. The walk-down to beatable analyst forecasts: The role of equity issuance and insider trading incentives. Contemporary Accounting Research 21, 885–924.
Rogers, R. K. and J. Grant. 1997. Content analysis of information cited in reports of sell-side financial analysts. Journal of Financial Statement Analysis 3, 17–31.
Trueman, B., F. Wong and X. Zhang. 2001. The Eyeballs Have It: Searching for the Value in Internet Stocks. Journal of Accounting Research 38, 137–162.
Welch, I. 2000. Herding among security analysts. Journal of Financial Economics 58, 369–396.