請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88504完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 劉心才 | zh_TW |
| dc.contributor.advisor | Hsin-Tsai Liu | en |
| dc.contributor.author | 張連珊 | zh_TW |
| dc.contributor.author | Lien-Shan Chang | en |
| dc.date.accessioned | 2023-08-15T16:35:52Z | - |
| dc.date.available | 2023-11-09 | - |
| dc.date.copyright | 2023-08-15 | - |
| dc.date.issued | 2023 | - |
| dc.date.submitted | 2023-07-18 | - |
| dc.identifier.citation | Accounting Principles Board (APB). (1970a). Business Combinations. In APB Opinion 16. Norwalk.
Accounting Principles Board (APB). (1970b). Intangible Assets. In APB Opinion 17, . Norwalk. Alford, A. W., & Berger, P. G. (1999). A Simultaneous Equations Analysis of Forecast Accuracy, Analyst Following, and Trading Volume. Journal of Accounting, Auditing & Finance, 14(3), 219-240. Athavale, M., Myring, M., & Groeber, R. D. I. (2013). Analyst Earnings Forecasts in BRIC Countries. THE JOURNAL OF APPLIED BUSINESS AND ECONOMICS, 14, 71-82. Barron, O. E., Byard, D., & Yu, Y. (2008). Earnings Surprises That Motivate Analysts to Reduce Average Forecast Error. The Accounting Review, 83(2), 303-325. Barron, O. E., Kim, O., Lim, S. C., & Stevens, D. E. (1998). Using Analysts' Forecasts to Measure Properties of Analysts' Information Environment. The Accounting Review, 73(4), 421-433. Beasley, M. S. (1996). An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud. The Accounting Review, 71(4), 443-465. Begley, J., Gao, Y., & Cheng, Q. (2009). Changes in Analysts’ Information Environment Following Sarbanes-Oxley Act and the Global Settlement. CSR & Management Practice eJournal. Behn, B. K., Choi, J.-H., & Kang, T. (2008). Audit Quality and Properties of Analyst Earnings Forecasts. The Accounting Review, 83(2), 327-349. Bernardi, C., & Stark, A. W. (2018). Environmental, social and governance disclosure, integrated reporting, and the accuracy of analyst forecasts. The British Accounting Review, 50(1), 16-31. Brown, L. D. (1997). Analyst Forecasting Errors: Additional Evidence. Financial Analysts Journal, 53(6), 81-88. Brown, L. D. (1998). Managerial Behavior and the Bias in Analysts' Earnings Forecasts Working Paper (Georgia State University). Brown, L. D., & Mohammad, E. (2010). Is Analyst Earnings Forecast Ability Only Firm Specific?*. Contemporary Accounting Research, 27(3), 727-750. Burgstahler, D. C., & Eames, M. J. (2003). Earnings Management to Avoid Losses and Earnings Decreases: Are Analysts Fooled?*. Contemporary Accounting Research, 20(2), 253-294. Byard, D., Li, Y., & Weintrop, J. (2006). Corporate governance and the quality of financial analysts’ information. Journal of Accounting and Public Policy, 25(5), 609-625. Chen, C., Kohlbeck, M., & Warfield, T. (2008). Timeliness of Impairment Recognition: Evidence from the Initial Adoption of SFAS 142. Advances in Accounting, 24, 72-81. Cheng, Q., Cho, Y., & Yang, H. (2018). Financial Reporting Changes and the Internal Information Environment: Evidence from SFAS 142. Review of Accounting Studies, 23(1), 347-383. Ciccone, S. J. (2005). Trends In Analyst Earnings Forecast Properties. International Review of Financial Analysis, 14(1), 1-22. Clement, M. B. (1999). Analyst forecast accuracy: Do Ability, Resources, and Portfolio Complexity Matter? Journal of Accounting and Economics, 27(3), 285-303. Coën, A., Desfleurs, A., & L’Her, J.-F. (2009). International Evidence On The Relative Importance Of The Determinants Of Earnings Forecast Accuracy. Journal of Economics and Business, 61(6), 453-471. Cohen, D., Mashruwala, R., & Zach, T. (2010). The Use of Advertising Activities to Meet Earnings Benchmarks: Evidence from Monthly Data. Review of Accounting Studies, 15, 808-832. Cotter, J., Tuna, I., & Wysocki, P. D. (2006). Expectations Management and Beatable Targets: How Do Analysts React to Explicit Earnings Guidance?*. Contemporary Accounting Research, 23(3), 593-624. Dhaliwal, D. S., Radhakrishnan, S., Tsang, A., & Yang, Y. G. (2012). Nonfinancial Disclosure and Analyst Forecast Accuracy: International Evidence on Corporate Social Responsibility Disclosure. The Accounting Review, 87(3), 723-759. Dowen, R. J. (1996). Analyst Reaction to Negative Earnings for Large Well-Known Firms. The Journal of Portfolio Management, Fall 1996, 23(1), 49 - 55. Dunn, K. A., & Nathan, S. (1998). The Effect of Industry Diversification on Consensus and Individual Analysts’ Earnings Forecasts. Working Paper (Baruch College and Georgia StateUniversity). Eames, M., & Kim, Y. (2012). Analyst vs. Market Forecasts of Earnings Management to Avoid Small Losses. Journal of Business Finance & Accounting, 39(5-6), 649-674. Edwards, & Bell. (1961). The Theory and Measurement of Business Income. University of California Press. Eng, L. L., & Mak, Y. T. (2003). Corporate governance and voluntary disclosure. Journal of Accounting and Public Policy, 22(4), 325-345. Espahbodi, H., Espahbodi, P., & Espahbodi, R. (2015). Did Analyst Forecast Accuracy and Dispersion Improve after 2002 Following the Increase in Regulation? Financial Analysts Journal, 71(5), 20-37. Fama, & Miller. (1972). The Theory of Finance. Holt, Rinehart and Winston. Feltham, & Ohlson. (1995). Valuation and clean surplus accounting for operating and financial activities. Contemporary Accounting Research, 11(2), 689-731. Feng, M., Li, C., & McVay, S. (2009). Internal Control and Management Guidance. Journal of Accounting and Economics, 48(2), 190-209. Financial Accounting Standards Board (FASB). (1995). Accounting for the Impairment of Long- lived Assets for Long-lived Assets to be Disposed of. In Statement of Financial Accounting Standards No. 121. Financial Accounting Standards Board, CT. Financial Accounting Standards Board (FASB). (1997). Disclosures about Segments of an Enterprise and Related Information. In Statement of Financial Accounting Standards No. 131. Financial Accounting Standards Board, CT. Financial Accounting Standards Board (FASB). (2001a). Business Combinations. In Statement of Financial Accounting Standards No. 141. Financial Accounting Standards Board, CT. Financial Accounting Standards Board (FASB). (2001b). Goodwill and Other Intangible Assets. In Statement Financial Accounting Standards No. 142. Financial Accounting Standards Board, CT. Frankel, R., Kothari, S. P., & Weber, J. (2006). Determinants of the informativeness of analyst research. Journal of Accounting and Economics, 41(1), 29-54. Frankel, R., & Lee, C. M. C. (1998). Accounting valuation, market expectation, and cross-sectional stock returns. Journal of Accounting and Economics, 25(3), 283-319. Gao, H., Wen, H., & Yu, S. (2021). Pandemic Effect on Analyst Forecast Dispersion: Earnings Uncertainty or Information Lockdown? Emerging Markets Finance and Trade, 57(6), 1699-1715. García-Meca, E. (2005). Bridging the Gap between Disclosure and Use of Intellectual Capital Information. Journal of Intellectual Capital, 6, 427-440. Hao, R., Xue, J., Yau, L. N. B., & Zhang, C. (2022). Analyst Forecasting During COVID-19 Pandemic. Managerial Auditing Journal, 37(3), 380-405. Hassell, J. M., Jennings, R. H., & Lasser, D. J. (1988). Management Earnings Forecasts: Their Usefulness as a Source Of Firm-Specific Information To Security Analysts. Journal of Financial Research, 11(4), 303-319. Hewitt, M. (2009). Improving Investors' Forecast Accuracy when Operating Cash Flows and Accruals Are Differentially Persistent. The Accounting Review, 84(6), 1913-1931. Hope, O.-K. (2003). Disclosure Practices, Enforcement of Accounting Standards, and Analysts' Forecast Accuracy: An International Study. Journal of Accounting Research, 41(2), 235-272. Huefner, R. J., & Largay, J. A., III. (2004). The Effect of the New Goodwill Accounting Rules on Financial Statements: Certified Public Accountant. The CPA Journal, 74(10), 30-35. Imhoff, E. A., & Lobo, G. J. (1992). The Effect of Ex Ante Earnings Uncertainty on Earnings Response Coefficients. The Accounting Review, 67(2), 427-439. Jacob, J., Lys, T. Z., & Neale, M. A. (1999). Expertise in Forecasting Performance of Security Analysts. Journal of Accounting and Economics, 28(1), 51-82. Jaggi, B. (1978). A Note on the Information Content of Corporate Annual Earnings Forecasts. The Accounting Review, 53(4), 961-967. Katz, J., Zarzeski, M., & Hall, H. J. (2000). The impact of strategy, industry and culture on forecasting the performance of global competitors: a strategic perspective. Journal of Business Strategies, 17(2), 119-143. Kothari, S. P. (2001). Capital markets research in accounting. Journal of Accounting and Economics, 31(1), 105-231. Kross, W., Ro, B., & Schroeder, D. (1990). Earnings Expectations: The Analysts' Information Advantage. The Accounting Review, 65(2), 461-476. Lambert, S. L. (2021). The Effects of Recessions on Earnings Forecasts and Fundamental Signals. International Journal of Business, 26(2), 28-48. Lang, M. H., Lins, K. V., & Miller, D. P. (2004). Concentrated Control, Analyst Following, and Valuation: Do Analysts Matter Most When Investors Are Protected Least? Journal of Accounting Research, 42(3), 589-623. Lang, M. H., & Lundholm, R. J. (1996). Corporate Disclosure Policy and Analyst Behavior. The Accounting Review, 71(4), 467-492. Lee, C. (2011). The Effect of SFAS 142 on the Ability of Goodwill to Predict Future Cash Flows. Journal of Accounting and Public Policy, 30(3), 236-255. Lewis, E. E., Lippitt, J. W., & Mastracchio, N. J., Jr. (2001). Users' Comments on SFAS 141 and 142 on Business Combinations and Goodwill: Certified Public Accountant. The CPA Journal, 71(10), 26-30. Li, K., & Sloan, R. (2017). Has Goodwill Accounting Gone Bad? Review of Accounting Studies, 22. Libby, R., Tan, H.-T., & Hunton, J. E. (2006). Does the Form of Management's Earnings Guidance Affect Analysts' Earnings Forecasts? The Accounting Review, 81(1), 207-225. Lys, T., & Sohn, S. (1990). The Association Between Revisions of Financial Analysts' Earnings Forecasts And Security-Price Changes. Journal of Accounting and Economics, 13(4), 341-363. Lys, T., & Vincent, L. (1995). An Analysis of Value Destruction in AT&T's Acquisition Of NCR. Journal of Financial Economics, 39(2), 353-378. Maines, L. A., McDaniel, L. S., & Harris, M. S. (1997). Implications of Proposed Segment Reporting Standards for Financial Analysts' Investment Judgements. Journal of Accounting Research, 35, 1-24. Michaely, R., & Womack, K. (2005). Brokerage Recommendations: Stylized Characteristics, Market Responses, and Biases. Advances in behavioral finance II, 389-422. Mikhail, M. B., Walther, B. R., & Willis, R. H. (1997). Do Security Analysts Improve Their Performance with Experience? Journal of Accounting Research, 35, 131-157. Myring, M., & Wrege, W. (2011). Analysts' Earnings Forecast Accuracy And Activity: A Time-Series Analysis. Journal of Business & Economics Research (JBER), 7. Peterson, K., Schmardebeck, R., & Wilks, T. (2015). The Earnings Quality and Information Processing Effects of Accounting Consistency. The Accounting Review, 90, 150205144713007. Ramanna, K., & Watts, R. L. (2012). Evidence on the Use of Unverifiable Estimates in Required Goodwill Impairment. Review of Accounting Studies, 17(4), 749-780. Richardson, S., Teoh, S. H., & Wysocki, P. (1999). Tracking Analysts’ Forecasts Over the Annual Earnings Horizon: Are Analysts’ Forecasts Optimistic Or Pessimistic. Working Paper(University of Michigan Business School). Riedl, E. J. (2004). An Examination of Long-Lived Asset Impairments. The Accounting Review, 79(3), 823-852. Ruland, W. (1978). The Accuracy of Forecasts by Management and by Financial Analysts. The Accounting Review, 53(2), 439-447. Seetharaman, A., Muniandy, B., & Saravanan, A. s. (2004). Accounting Treatment of Goodwill: Yesterday, Today and Tomorrow: Problems and Prospects in the International Perspective. Journal of Intellectual Capital, 5, 131-152. Sevin, S., Schroeder, R., & Bhamornsiri, S. (2007). Transparent Financial Disclosure and SFAS No. 142. Managerial Auditing Journal, 22, 674-687. Shroff, N. (2017). Corporate Investment and Changes in GAAP. Review of Accounting Studies, 22. Shroff, N., Verdi, R. S., & Yu, G. (2014). Information Environment and the Investment Decisions of Multinational Corporations. The Accounting Review, 89(2), 759-790. Tan, H., Wang, S., & Welker, M. (2011). Analyst Following and Forecast Accuracy After Mandated IFRS Adoptions. Journal of Accounting Research, 49, 1307-1357. Watts, R. (2003). Conservatism in Accounting - Part I: Explanations and Implications. Accounting Horizons, 17. Waymire, G. (1986). Additional Evidence on the Accuracy of Analyst Forecasts before and after Voluntary Management Earnings Forecasts. The Accounting Review, 61(1), 129-142. Williams, P. A. (1996). The Relation between a Prior Earnings Forecast by Management and Analyst Response to a Current Management Forecast. The Accounting Review, 71(1), 103-115. Yu, T. (2022). A Review of Related Literature Review on the Accuracy of Securities Analysts’ Earnings Forecast. Frontiers in Business, Economics and Management, 4(1), 41–43. Zhou, S., Simnett, R., & Green, W. (2017). Does Integrated Reporting Matter to the Capital Market? Abacus, 53(1), 94-132. Zucca, L. J., & Campbell, D. R. (1992). A Closer Look at Discretionary Writedowns of Impaired Assets. Accounting Horizons, 6(3), 30. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88504 | - |
| dc.description.abstract | 美國財務會計準則委員會於2001年發布財務會計準則第142號「商譽與其他無形資產」，此舉改變商譽的會計處理，並對資本市場產生重大的影響。因此本研究探討財務報導準則的變更對於分析師盈餘預測準確度的影響。由於該號公報要求公司每年均要進行嚴格的兩階段減損測試，使管理階層在評估減損過程中需要取得更多的資訊，從而提升公司內部資訊環境，因此公司可以更清晰地傳遞關於商譽的會計資訊給投資人，進而提升分析師的盈餘預測準確度，並降低分析師盈餘預測的離散程度。本研究透過差異中差異法模型，發現在該號公報實施後，分析師對於受到該號公報影響的公司可以做出更準確的盈餘預測，但並沒有發現分析師預測的離散程度有顯著改善。本研究亦發現，在該號公報實施前，公司治理較差的公司，相比公司治理較佳的公司，在適用該公報後，分析師的預測準確度會有更明顯的改善。整理而言，本研究發現有報導商譽的公司在適用第142號公報之後，可以改善公司內部的資訊環境，進而傳遞更透明的財務資訊，從而改善分析師盈餘預測的準確度。 | zh_TW |
| dc.description.abstract | Using the adoption of Statement of Financial Accounting Standards No. 142 (SFAS 142 hereafter) as an experimental setting, I investigate the effect of SFAS adoption on analyst forecast features. Motivated by the observations that SFAS 142 improves managers’ internal information sets and therefore facilitates management earnings forecasts (e.g., Cheng et al., 2018) by requiring more rigorous impairment tests through exquisite and complicated two-step procedures once a year, thus incorporating more transparent information into the market, this study investigates whether SFAS 142 adoption enhances analyst forecast accuracy and reduces forecast dispersion. Using a difference-in-differences design, I find that firms affected by SFAS 142 experience an improvement in analyst forecast accuracy in the post-SFAS 142 periods. However, I do not find any change in analyst forecast dispersion after SFAS 142 adoption. Furthermore, I also find that firms with weaker governance in the pre-SFAS 142 period experience larger improvements in analyst forecast accuracy. The findings suggest that with improved information sets, financial analysts can make better earnings forecasts. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-08-15T16:35:52Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-08-15T16:35:52Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 摘要 i
Abstract ii Introduction 1 Literature Review 8 Accounting Treatment for Goodwill Impairments Prior to SFAS 142 8 SFAS 142 11 Difference Between SFAS 142 and APB Opinion 17 and SFAS 121 12 Analyst Forecast 18 Hypotheses Development 23 Effect of Goodwill Impairment Change on Analyst Forecast Accuracy and Dispersion 23 Corporate Governance, Goodwill Impairment, and Analyst Forecast 25 Sample Selection and Empirical Design 27 Sample Selection 27 Research Design for H1 28 Research Design for H2 30 Results 31 Descriptive Statistics 31 The Results for H1 34 The Results for H2 36 Additional Tests 38 Other Intangible Assets 38 Other Regulatory Change: Sarbanes-Oxley (SOX) Act 40 Conclusion 43 References 45 Appendix A: Variable Definition 51 | - |
| dc.language.iso | en | - |
| dc.title | 商譽減損規範與分析師預測準確度： 以財務會計準則第142號為例 | zh_TW |
| dc.title | Goodwill Impairment and Analyst Forecast Accuracy: Evidence from SFAS 142 | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 111-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 黃祥宇;廖麗凱 | zh_TW |
| dc.contributor.oralexamcommittee | Xiang-Yu Huang;Li-Kai Liao | en |
| dc.subject.keyword | SFAS 142,分析師預測準確度,分析師預測離散程度,商譽, | zh_TW |
| dc.subject.keyword | SFAS 142,Analyst forecast accuracy,Analyst forecast dispersion,Goodwill, | en |
| dc.relation.page | 53 | - |
| dc.identifier.doi | 10.6342/NTU202301485 | - |
| dc.rights.note | 未授權 | - |
| dc.date.accepted | 2023-07-19 | - |
| dc.contributor.author-college | 管理學院 | - |
| dc.contributor.author-dept | 會計學系 | - |
| 顯示於系所單位： | 會計學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-111-2.pdf 目前未授權公開取用 | 2.26 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。