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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64126
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor林修葳
dc.contributor.authorCheng-Tsu Huangen
dc.contributor.author黃承祖zh_TW
dc.date.accessioned2021-06-16T17:31:07Z-
dc.date.available2022-12-31
dc.date.copyright2012-08-20
dc.date.issued2012
dc.date.submitted2012-08-15
dc.identifier.citationAltinkilic, O., and R. S. Hansen., 2009. On the information role of stock
ecommendation revisions. Journal of Accounting and Economics 48:17–36.
Altinkilic, Oya, Vadim Balashov and Robert Hansen, 2010, Evidence that analysts are
not important information-intermediaries. Working paper, Tulane University.
Amihud, Y., 2002. Illiquidity and stock returns: cross-section and time-series effects.
Journal of Financial Markets 5, 31–56.
Barth, M. E., Kasznik R. and McNichols, M. F., 2001. Analyst coverage and intangible
assets, Journal of Accounting Research 39(1): 1-34.
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the profitability of momentum strategies. Journal of Finance 55, 265–295.
Lee, C. M. C., Myers, J. and Swaminathan, B., 1999. What is the Intrinsic Value of the
Dow?, Journal of Finance, 5: 1693-1741.
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Management, 27 (4), 371-395.
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long-run abnormal stock returns. Journal of Finance 54, 165–201.
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earnings forecasts and security price changes. Journal of Accounting & Economics
13, 341–363.
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Review, 10 (2), 315-341.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64126-
dc.description.abstract本文探討當給定分析師發佈的近年期盈餘預測下,多年期盈餘預測所具有之邊際資訊意涵。我們發現分析師多年期盈餘預測的發佈頻率,會受投資人對企業的矚目程度,及投資人是否需借助分析師專業來判讀企業成長性的影響,因而將企業區分為分析師發佈多年期預測選擇性較高與較低兩類,當分析師發佈選擇性較高,其多年期盈餘預測蘊含較多的邊際資訊意涵,選擇性較低時,則較近似於由近年期盈餘預測與成長性預測所推算出的替代估計值。我們建立了對一年期盈餘預測恆常性成份的衡量指標,區分出其中所隱含的暫時性成份,恆常性成份對最後的推薦具邊際解釋力,近年期預測則追求一年期的預測誤差極小化,釐清近年期與多年期盈餘預測乃分析師針對不同目的的發佈工具,兩者間具有對企業恆常性與暫時性盈餘預測的互補性。本文在長窗期盈餘檢測也發現,多年期盈餘預測對企業評價有邊際貢獻,具價值攸關,可藉以形成投資組合,形成交易策略。zh_TW
dc.description.abstractWe investigate the marginal information implications in analyst multi-year earnings forecasts given the current-year forecasts. In this paper, we explore the underlying reasons for analyst to give multi-year earnings forecasts, and examine the relationships between multi-year predictions and their corresponding values of analysts' recommendations, future EPS estimates, and the rates of return when multi-year earnings forecasts are incorporated into corporate valuation models, respectively.
We find that the frequencies analysts make multi-year forecasts depend on the extent of investors’ focus on the businesses. Moreover, common investors’ needs for professional judgments appear to drive analysts to report multi-year forecasts. We thereby partition our samples into two groups, the firms that analysts may feel obligated to provide multi-year forecasts for (hereafter the obligated group) and the firms that analysts can discretionarily choose whether or not to make multi-year forecasts. Analyst multi-year forecasts for the latter group of forecasts appear to be more informative. We make comparisons between analyst’s multi-year forecasts and the proxy estimates based on their current-year forecasts and one plug the growth estimate. We document that for the obligated group firms they provide their multi-year estimates closer to their proxy estimates and less informative given the current-year forecasts as compared with the other group analysts’. By establishing a proxy to measure permanent components, we extract temporary elements from one-year-ahead forecasts so as to clarify the roles analysts assign to these two forecasts. The permanent components exhibit marginal explanatory ability to the final recommendations. It turns out that two forecasts complement each other for different purposes. The long-windowed returns test findings show that multi-year forecasts make marginal contribution to business valuation, providing additional value-relevant information that helps forming long-term investment strategy.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T17:31:07Z (GMT). No. of bitstreams: 1
ntu-101-D93724022-1.pdf: 1604399 bytes, checksum: a8993806ee0a5a556980285f7f9f4006 (MD5)
Previous issue date: 2012
en
dc.description.tableofcontents口試委員會審定書……………………………………………………………….……i
中文摘要……………………………………………………………………….….…..ii
ABSTRACT……………………………………………………………………….….iii
第一章 緒言…………………………………………………………………………..1
第二章 文獻回顧與假說……………………………………………………….…….4
第一節 文獻回顧………………………………………………………………..4
第二節 假說發展………………………………………………………………..5
第三章 研究設計……………………………………………………………………..8
第一節 盈餘預測與推薦和長短期實際盈餘…………………………………..8
第二節 多年期盈餘預測發佈選擇……………………………………………12
第三節 較多年期盈餘預測與替代估計值……………………………………14
第四節 於評價模型納入發佈多年期盈餘預測分析師之三年期盈餘預測數值
……...………………………………………………………………….15
第五節 額外利用發佈多年期預測分析師之多年期盈餘預測於企業評價…17
第四章 資料與結果…………………………………………………………………19
第一節 資料來源……………………………………………………………....19
第二節 研究結果………………………………………………………………19
第三節 敏感性測試……………………………………………………………23
第五章 結論…………………………………………………………………………26
參考文獻……………………………………………………………………………..27
附錄 一………………………………………………………………………………29
附錄 二………………………………………………………………………………30
TABLE 1 假說1a Fy1恆常性與暫時性成份對推薦的邊際解釋………….………..32
TABLE 2 假說1b 三年期盈餘修正對實際盈餘趨勢成長之邊際解釋…………….33
TABLE 3 假說1c 敘述統計與相關係數矩陣…………………………………...…..34
TABLE 4 假說1c……………………………………………………………………...35
TABLE 5 假說1b與假說1c 合併樣本………………………………………………36
TABLE 6 假說2 敘述統計與相關係數矩陣…………………………………...……37
TABLE 7 假說2 分析師是否發佈多年期盈餘預測之決定因子………………...…38
TABLE 8-1 分析師近年期與多年期盈餘預測………………………………………39
TABLE 8-2 分析師近年期盈餘預測…………………………………………………40
TABLE 8-3 分析師多年期盈餘預測…………………………………………………41
TABLE 9 假說3………………………………………………………………….……42
TABLE 10 假說4 敘述統計與相關係數矩陣……………………………….………43
TABLE 11 假說4……………………………………………………………………...44
TABLE 12 假說5 敘述統計與相關係數矩陣…………………….…………………46
TABLE 13 假說5……………………………………………………………….……..47
TABLE 14 假說1a 選樣代表性之敏感性測試…………………….…………..……49
TABLE 15 假說1a 金融風暴與非金融風暴期間……………………………...……50
TABLE 16 假說1b 金融風暴與非金融風暴期間………………………………...…51
TABLE 17 假說2 金融風暴期間………………………………………………….…52
TABLE 18 假說2 非金融風暴期間……………………………………….…………53
TABLE 19 假說3 金融風暴與非金融風暴期間……………………….……………54
TABLE 20 假說4 金融風暴期間………………………………………….…………55
TABLE 21 假說4 非金融風暴期間…………………………………….……………57
TABLE 22 假說5 金融風暴期間………………………………………………….…59
TABLE 23 假說5 非金融風暴期間………………………………………….………61
TABLE 24 假說1a 加入會計保守性調整數…………………………...……………63
TABLE 25 假說3 Monte Carlo模擬………………………………………….………64
APPENDIX TABLE 1 COMPUSTAT Items…………………………………...………65
dc.language.isozh-TW
dc.subject分析師基礎之企業評價模型zh_TW
dc.subject價值攸關zh_TW
dc.subject多年期盈餘預測zh_TW
dc.subjectmulti-year earnings forecastsen
dc.subjectvalue-relevanten
dc.subjectanalyst-based valuation modelen
dc.title分析師多年期盈餘預測資訊內涵zh_TW
dc.titleInformativeness of Financial Analyst Multi-Year Earnings Forecastsen
dc.typeThesis
dc.date.schoolyear100-2
dc.description.degree博士
dc.contributor.oralexamcommittee盧秋玲,金成隆,陳育成,張文?
dc.subject.keyword多年期盈餘預測,價值攸關,分析師基礎之企業評價模型,zh_TW
dc.subject.keywordmulti-year earnings forecasts,value-relevant,analyst-based valuation model,en
dc.relation.page65
dc.rights.note有償授權
dc.date.accepted2012-08-16
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept國際企業學研究所zh_TW
顯示於系所單位:國際企業學系

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