Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 會計學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70427
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor劉啟群(Chi-Chun Liu)
dc.contributor.authorYu Changen
dc.contributor.author張昱zh_TW
dc.date.accessioned2021-06-17T04:27:57Z-
dc.date.available2021-02-20
dc.date.copyright2021-02-20
dc.date.issued2021
dc.date.submitted2021-02-03
dc.identifier.citationBartov, E., Givoly, D., Hayn, C. (2002). The rewards to meeting or beating earnings expectations. Journal of Accounting and Economics. https://doi.org/10.1016/S0165-4101(02)00045-9
Bhattacharya, N., Black, E. L., Christensen, T. E., and Larson, C. R. (2003). Assessing the Relative Informativeness and Permanence of Pro Forma Earnings and GAAP Operating Earnings. Journal of Accounting and Economics, 36(1–3 SPEC. ISS.), 285–319. https://doi.org/10.1016/j.jacceco.2003.06.001
Black, D.E. and Christensen, T.E. (2009). US managers' use of ‘pro forma’ adjustments to meet strategic earnings targets. Journal of Business Finance Accounting 36, 297-326.
Black, E. L., Christensen, T. E., Kiosse, P. V., and Steffen, T. D. (2017). Has the Regulation of Non-GAAP Disclosures Influenced Managers’ Use of Aggressive Earnings Exclusions? Journal of Accounting, Auditing and Finance, 32(2), 209– 240. https://doi.org/10.1177/0148558X15599131
Bowen, R., Davis, A., Matsumoto, D. (2005). Emphasis on pro forma versus GAAP earnings in quarterly press releases: determinants, SEC intervention, and market reactions. Accounting Review 80, 1011–1038. https://doi.org/10.2308/accr.2005.80.4.1011
Bradshaw, M. T., Christensen, T. E., Gee, K. H., Whipple, B. C. (2018). “Analysts’ GAAP Earnings Forecasts and Their Implications for Accounting Research.” Journal of Accounting and Economics 66 (2018): 46-66. https://doi.org/10.1016/j.jacceco.2018.01.003
Bradshaw, M., Sloan, R. (2002). GAAP versus the street: an empirical assessment of two alternative definitions of earnings. Journal of Accounting Research 40, 41–65.
Brous, P. A., Kini, O. (1993). A reexamination of analysts’ earnings forecasts for takeover targets. Journal of Financial Economics. 33, 201–225. https://doi.org/10.1016/0304-405X(93)90004-U
Brown, L., (2001). A temporal analysis of earnings surprises: profits versus losses. Journal of Accounting Research 39, 221–241.
Brown, S. V., Tian, X., and Tucker, J. W. (2018). The Spillover Effect of SEC Comment Letters on Qualitative Corporate Disclosure: Evidence from the Risk Factor Disclosure. Contemporary Accounting Research, 35(2), 622–656. https://doi.org/10.1111/1911-3846.12414
Chi-Chun Liu, Ting-Wei Yen, and Lin-Hui Yu. (2019) The Effect of SEC’s Comment Letters on the Comparability of Non-GAAP and GAAP Earnings.
Cunningham, L. M., Johnson, B. A., Johnson, E. S., Lisic, L. L. (2020). The Switch- Up: An Examination of Changes in Earnings Management after Receiving SEC Comment Letters. Contemporary Accounting Research. https://doi.org/10.1111/1911-3846.12546
Cunningham, L. M., Schmardebeck, R., Wang, W. (2016). SEC Comment Letters and Bank Lending. In SSRN. https://doi.org/10.2139/ssrn.2727860
Davis, A. K., and Tama-Sweet, I. (2012). Managers’ Use of Language Across Alternative Disclosure Outlets: Earnings Press Releases Versus MD A. Contemporary Accounting Research, 29(3), 804–837. https://doi.org/10.2139/ssrn.1866369
De Franco, G., Kothari, S. P., Verdi, R. S. (2011). The benefits of financial statement comparability. Journal of Accounting Research. https://doi.org/10.1111/j.1475- 679X.2011.00415.x
Degeorge, F., Patel, J., Zeckhauser, R.(1999). Earnings management to exceed thresholds. Journal of Business 72, 1–33.
Deloitte. (2017). SEC Comment Letters - Including Industry Insights.
Donelson, D. C., Kartapanis, A., Koutney, C. (2019). SEC Non-GAAP Comment Letters and Firm Disclosures. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3375762
Doyle, J. T., Jennings, J. N., Soliman, M. T. (2013). Do managers define non-GAAP earnings to meet or beat analyst forecasts? Journal of Accounting and Economics. 56 (2013): 40-56.https://doi.org/10.1016/j.jacceco.2013.03.002
Doyle, J., Lundholm, R., Soliman, M. (2003). The predictive value of expenses excluded from ‘pro forma’ earnings. Review of Accounting Studies 2–3, 145–174.
Duro, M., Heese, J., and Ormazabal, G. (2019). The Effect of Enforcement Transparency : Evidence from SEC Comment-Letter Reviews. The Review of Accounting Studies. https://doi.org/10.2139/ssrn.3178609
Elliott, W. B. (2006). Are Investors Influenced by Pro Forma Emphasis and Reconciliations in Earnings Announcements? The Accounting Review, 81(1), 113– 133. https://doi.org/10.2308/accr.2006.81.1.113
Feltham, G. A., Ohlson, J. A.. 1995. “Valuation and Clean Surplus Accounting for Operating and Financial Activities”. Contemporary Accounting Research, 11: 689– 731. https://doi.org/10.1111/j.1911-3846.1995.tb00462.x
Francis, J., Schipper, K., Vincent, L. (2003). The Relative and Incremental Explanatory Power of Earnings and Alternative (to Earnings) Performance Measures for Returns. Contemporary Accounting Research. https://doi.org/10.1506/XVQV-NQ4A-08EX-FC8A
Gomez, E. A., Heflin, F., and Wang, J. (2017). Information Environment Consequences of SEC Non-GAAP Comment Letters. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3044026
Gu, Z., Chen, T. (2004). Analysts' treatment of nonrecurring items in street earnings. Journal of Accounting and Economics 38, 129–170.
Johnston, R., and Petacchi, R. (2017). Regulatory Oversight of Financial Reporting: Securities and Exchange Commission Comment Letters. Contemporary Accounting Research, 34(2), 1128–1155. https://doi.org/10.1111/1911-3846.12297
Lopez, T. J., Rees, L. (2002). The Effect of Beating and Missing Analysts’ Forecasts on the Information Content of Unexpected Earnings. Journal of Accounting, Auditing Finance. https://doi.org/10.1177/0148558X0201700204
Lopez, T. J., McCoy, C., Taylor, G. K., Young, M. (2019). Are Investors Misled by Non-GAAP Expense Exclusions Used to Beat Analysts’ Earnings Forecasts? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3443860
Louis, H., Robinson, D., and Sbaraglia, A. (2006). An Integrated Analysis of the Association between Accrual Disclosure and the Abnormal Accrual Anomaly. Review of Accounting Studies, Forthcoming, 13(1), 23–54. https://doi.org/10.1007/s11142-007-9038-z
Thomson Reuters (2010). Methodology for Estimates—A Guide to Understanding Thomson Reuters Methodologies, Terms and Policies for the First Call and I/B/E/S Estimates Databases (November).
Venter, E. R., Emanuel, D., Cahan, S. F. (2014). The value relevance of mandatory non-GAAP earnings. Abacus. https://doi.org/10.1111/abac.12020
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70427-
dc.description.abstract本研究旨在探討與非一般公認會計準則之盈餘(以下簡稱non-GAAP盈餘)相關之監管信函對公司non-GAAP盈餘及一般公認會計準則之盈餘(以下簡稱GAAP 盈餘)間差額之影響。將經理人的動機納入考量後,本研究發現收到與non-GAAP盈餘相關之監管信函後,公司的non-GAAP盈餘及GAAP盈餘間的差額增 加,我們認為其中一個可能的原因是當公司收到與non-GAAP盈餘相關之監管信函後,認為美國證券交易委員會(TheU.S.SecuritiesandExchangeCommission, the SEC)(以下簡稱美國證管會)不僅會對於 non-GAAP議題進行調查,還會對於公司其他重要的議題進行審查,GAAP盈餘乃是依照一般公認會計準則編製而產生的盈餘,實為重要的財務資訊,因此公司認為GAAP盈餘極有可能落入美國證管會的調查範疇,導致不僅non-GAAP盈餘受美國監管信函影響,GAAP 盈餘亦受 影響。本研究亦發現分析師無法預測美國證管會監管信函對non-GAAP盈餘及GAAP盈餘間差異的影響,且社會大眾可預期及不可預期的non-GAAP盈餘及GAAP盈餘間之差異都增加。排除掉金融業和公共產業後我們獲得相同的結果,將經理人動機以類別變數衡量後也得到類似的結果。本研究發現美國證管會與non-GAAP相關之監管信函對non-GAAP 盈餘及GAAP盈餘間有顯著的影響。zh_TW
dc.description.abstractThis paper examines the effect that the SEC comment letters on non-GAAP issues make on the difference of firms’ non-GAAP earnings and GAAP earnings. After considering managers’ motivation, we find that the rifts between non-GAAP earnings and GAAP earnings of motivated firms expand after they receive non-GAAP comment letters. We provide a possible explanation that although it’s non-GAAP issues that the comment letters elaborate on, they may also restrain opportunism on GAAP earnings because firms will assume, given on the SEC has already kept an eye on themselves, the SEC not only inspect non-GAAP earnings but GAAP earnings. We further decompose the exclusions into two parts that analyst can predict and can not predict, we observe that analyst are unable to capture the effect of non-GAAP letters. Furthermore, we also find recurring exclusions, no matter they’re opportunistically defined by managers, are enlarged after non-GAAP comment letters arrive. Our results are robust to removing financial and utility industries and measure managers’ motivation in form of dummy variables. Overall, comment letters on non-GAAP issues have impact on the difference between non-GAAP earnings and GAAP earnings.en
dc.description.provenanceMade available in DSpace on 2021-06-17T04:27:57Z (GMT). No. of bitstreams: 1
U0001-0707202013123100.pdf: 2744106 bytes, checksum: cb8c91150c97f62aa34538f56720156c (MD5)
Previous issue date: 2021
en
dc.description.tableofcontents1. Introduction .........................................................................................................................................1
2. Literature Review ................................................................................................................................9
2.1 Non-GAAP ........................................................................................................................................9
2.2 Comment Letter...............................................................................................................................13
3. Hypothesis Development...................................................................................................................18
4. Data and Research Design ................................................................................................................21
4.1 Data..................................................................................................................................................21
4.2 Research Design ............................................................................................................................24
5. Results..............................................................................................................................................34
5.1 Descriptive Statistics ......................................................................................................................34
5.2 Results for H1: Exclusions with motivation .....................................................................................39
5.2.1 Motivation defined as analyst non-GAAP forecasts less GAAP earnings......................................39
5.2.2 Motivation defined as analyst GAAP forecasts less GAAP earnings ............................................47
5.3 Additional Analysis .........................................................................................................................54
5.3.1 Exclude financial and utility industries .........................................................................................54
5.3.1.1 Motivation defined as analyst non-GAAP forecasts less GAAP earnings...................................59
5.3.1.2 Motivation defined as analyst GAAP forecasts less GAAP earnings ..........................................65
5.3.2 Motivation measured as dummy variables ...................................................................................71
5.3.2.1 Motivation defined as analyst non-GAAP forecasts less GAAP earnings in form of dummy variables................................................................................................................................................74
5.3.2.2 Motivation defined as analyst GAAP forecasts less GAAP earnings in form of. dummy variables ..............................................................................................................................................................80
6. Conclusions ......................................................................................................................................86
Reference .............................................................................................................................................89
Appendix A............................................................................................................................................95
Appendix B............................................................................................................................................98
Exhibits
Exhibit 1: The percentages of non-GAAP issues on all topics of comment letters.................................15
Tables
Table 1: Comment letter observations...................................................................................................23
Table 2: Variable Definition....................................................................................................................26
Table 3: Descriptive Statistics (Take two quarters before and after comment letters
as an example)......................................................................................................................................36
Table 4: Pearson Correlation (Take two quarters before and after comment letters
as an example)......................................................................................................................................37
Table 5: Total Exclusions analysis with motivation evaluated by non-GAAP
forecasts................................................................................................................................................41
Table 6: Predicted Exclusions analysis with motivation evaluated by non-GAAP
forecasts...............................................................................................................................................42
Table 7: Unpredicted Exclusions analysis with motivation evaluated by non-GAAP
Forecasts..............................................................................................................................................43
Table 8: Special d Exclusions analysis with motivation evaluated by non-GAAP
Forecasts..............................................................................................................................................45
Table 9: Other Exclusions analysis with motivation evaluated by non-GAAP
forecasts...............................................................................................................................................46
Table 10: Total Exclusions analysis with motivation evaluated by GAAP
forecasts...............................................................................................................................................48
Table 11: Predicted Exclusions analysis with motivation evaluated by GAAP
forecasts...............................................................................................................................................49
Table 12: Unpredicted Exclusions analysis with motivation evaluated by GAAP forecasts...............................................................................................................................................50
Table 13: Special Exclusions analysis with motivation evaluated by GAAP
forecasts...............................................................................................................................................52
Table 14: Other Exclusions analysis with motivation evaluated by GAAP forecasts...............................................................................................................................................53
Table 15: Comment letter observation (financial industry and utility industry excluded)..............................................................................................................................................54
Table 16: Pearson Correlation with financial and industries excluded (Take two quarters before and after comment letters as an example)...............................................................................................................................................56
Table 17: Descriptive Statistics with financial and utilities industries excluded (Take two quarters before and after comment letters as an example)...............................................................................................................................................58
Table 18: Total Exclusions analysis with motivation evaluated by non-GAAP forecasts (financial and utilities industries excluded)..............................................................................................................................................60
Table 19: Predicted Exclusions analysis with motivation evaluated by non-GAAP forecasts (financial and utilities industries excluded)...............................................................................................................................................61
Table 20: Unpredicted Exclusions analysis with motivation evaluated by non-
GAAP forecasts (financial and utilities industries excluded)..................................................................62
Table 21: Special Exclusions analysis with motivation evaluated by non-GAAP forecasts (financial and utilities industries excluded)..............................................................................................................................................63
Table 22: Other Exclusions analysis with motivation evaluated by non-GAAP forecasts (financial and utilities industries excluded)..............................................................................................................................................64
Table 23: Total Exclusions analysis with motivation evaluated by GAAP
forecasts (financial and utilities industries excluded.............................................................................66
Table 24: Predicted Exclusions analysis with motivation evaluated by GAAP forecasts (financial and utilities industries excluded)...............................................................................................................................................67
Table 25: Unpredicted Exclusions analysis with motivation evaluated by GAAP forecasts (financial and utilities industries excluded................................................................................................................................................68
Table 26: Special Exclusions analysis with motivation evaluated by GAAP forecasts (financial and utilities industries excluded................................................................................................................................................69
Table 27: Other Exclusions analysis with motivation evaluated by GAAP forecasts (financial and utilities industries excluded................................................................................................................................................70
Table 28: Pearson Correlation with motivation measured in form of dummyvariables (Take two quarters before and after comment letters as an example).................................................................................72
Table 29: Total Exclusions analysis with motivation evaluated in form of dummy variables by non-GAAP forecasts...............................................................................................................................................75
Table 30: Predicted Exclusions analysis with motivation evaluated in form of dummy variables by non-GAAP forecasts.....................................................................................................................................76
Table 31: Unpredicted Exclusions analysis with motivation evaluated in form of dummy variables by non-GAAP forecasts..............................................................................................................................77
Table 32: Special Exclusions analysis with motivation evaluated in form of
dummy variables by non-GAAP forecasts.............................................................................................78
Table 33: Other Exclusions analysis with motivation evaluated in form of
dummy variables by non-GAAP forecasts.............................................................................................79
Table 34: Total Exclusions analysis with motivation evaluated in form of dummy variables by GAAP forecasts................................................................................................................................................81
Table 35: Predicted Exclusions analysis with motivation evaluated in form of dummy variables by GAAP forecasts...............................................................................................................................................82
Table 36: Unpredicted Exclusions analysis with motivation evaluated in form of dummy variables by GAAP forecasts.....................................................................................................................................83
Table 37: Special Exclusions analysis with motivation evaluated in form of
dummy variables by GAAP forecasts....................................................................................................84
Table 38: Other Exclusions analysis with motivation evaluated in form of
dummy variables by GAAP forecasts.....................................................................................................85
dc.language.isoen
dc.subjectNon-GAAP 盈餘zh_TW
dc.subjectGAAP 盈餘zh_TW
dc.subject經理人 動機zh_TW
dc.subject監管信函zh_TW
dc.subjectnon-GAAP 排除項zh_TW
dc.subjectGAAP earningsen
dc.subjectNon-GAAP earningsen
dc.subjectnon-GAAP exclusionen
dc.subjectcomment letteren
dc.subjectmotivationen
dc.title美國證管會監管信函對非GAAP與GAAP盈餘間差額之影響zh_TW
dc.titleThe Effect of SEC's Comment Letters on the Difference between non-GAAP Earnings and GAAP Earningsen
dc.typeThesis
dc.date.schoolyear109-1
dc.description.degree碩士
dc.contributor.coadvisor尤琳蕙(Lin-Hui Yu)
dc.contributor.oralexamcommittee張窈菱(Yao-Lin Chang),林純央(Chun-Yang Lin)
dc.subject.keywordNon-GAAP 盈餘,GAAP 盈餘,non-GAAP 排除項,監管信函,經理人 動機,zh_TW
dc.subject.keywordNon-GAAP earnings,GAAP earnings,non-GAAP exclusion,comment letter,motivation,en
dc.relation.page131
dc.identifier.doi10.6342/NTU202001360
dc.rights.note有償授權
dc.date.accepted2021-02-04
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept會計學研究所zh_TW
顯示於系所單位:會計學系

文件中的檔案:
檔案 大小格式 
U0001-0707202013123100.pdf
  未授權公開取用
2.68 MBAdobe PDF
顯示文件簡單紀錄


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。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved