本研究以I/B/E/S中2004至2005年所有美國公司為樣本，依財務分析師盈餘預測值與所有財務分析師盈餘預測平均值之差異程度，將財務分析師分類為大膽或膽怯的財務分析師，並依財務分析師盈餘預測發布之時點將財務分析師分類為領導型或從眾型財務分析師。針對財務分析師盈餘預測行為大膽及領導特性，探討時效性領導型財務分析師之盈餘預測是否會較大膽，並進一步研究大膽的財務分析師其盈餘預測準確度是否較高，以及時效性之領導型財務分析師其盈餘預測準確度是否較高。 研究結果發現時效性之領導型財務分析師其盈餘預測行為會較大膽，但大膽的財務分析師其盈餘預測準確度較低，且時效性之領導型財務分析師其盈餘預測準確度並未出現較高的現象。 / Security analysts can be characterized as bold or herding based on the absolute distance between their earnings forecasts and the consensus forecast. Security analysts can also be classified as lead or following based on the timeliness of their earnings forecasts. Based on I/B/E/S annual earnings forecasts of all American companies during the period of 2004-2005, this study addresses the association between bold and lead and the relation between bold forecast and forecast accuracy. In addition, the relation between lead forecast and forecast accuracy is investigated as well. It is shown that lead analysts are bolder than following analysts and boldness likelihood increases with the frequency of analysts’ forecast and declines with the analysts’ prior accuracy. Further, bold analysts’ earnings forecasts are less accurate than herding analysts’ and lead analysts’ earnings forecasts are less accurate than following analysts.

本研究係探討在自願性揭露的情況下，公司盈餘預測準確度會受那些因素的影響？對國內外相關文獻及我國股市資訊環境進行探討後，提出預測期間長短、公司規模大小、盈餘變異性、市場風險、行業別、上市期間長短、自有資本比、綜合槓桿效果、揭露次數多寡、公告媒體別、揭露後累積異常報酬、上市類別、高估低估、預測階段以及年度別等可能影響準確度之因素，利用迴歸分析，以橫斷面(cross-sectional design)之設計方法，來探討各自變數與因變數（盈餘預測準確度）間之關係。 　　依理論判斷所制定之選樣標準，本研究以117家上市公司對於民國78年度至83年度之盈餘預測資料，共941個觀察值為研究樣本。經嚴格理論建立與統計分析后，本研究得出以下的結論： 　　一、預測期間愈短、管理當局盈餘預測準確度愈高。 　　二、公司規模愈大，管理當局盈餘預測準確度愈高。 　　三、市場風險愈低，管理當局盈餘預準確度愈高。 　　四、行業別與預測準確度具有關係。 　　五、自有資本比愈高，管理當局盈餘預測準確度愈高。 　　六、揭露次數愈多與管理當局盈餘預測準確度具有關係。 　　七、媒體別與預測準確度具有關係。 　　八、上市第一類股，預測準確度較高。 　　九、預測階段與預測準確度具有關係。

本論文的目的，在探討管理當局自願性公布財務預測及修正其資訊的有用性，或資訊內涵。所謂管理當局自願性揭露，意指其在大眾媒體上自願性地披露年度盈餘預測之謂。管理當局是財務資訊的主要生產者，其所生產之預測資訊具內部資訊優越性，是以投資人會以為這項資訊，對公司年度實際盈餘的瞭解有極大助益。若盈餘是有用的資訊，研究其預測資訊的準確度（是否具優越性）與資訊的有用性，將有助於公司管理當局在公告預測時的動機與市場如何使用盈餘預測資訊來進行投資決策，以及公司管理當局是否會利用這項資訊，進行股價操縱的行為。據此，本研究主要探討自願性財務預測相對於其實際盈餘的準 確度或修正幅度與方向，俾據以為檢查自願性預測與股價的關係。由於自願性預測均公布在媒體上，故本研究亦探討自願性揭露在專業性與非專業性媒體所代表之準確度與股價反應，俾瞭解媒體在自願性揭露中所扮演的角色。研究期間是以民國八十年度至八十三年度的資料作為分析的對象。結果顯示，自願性管理當局的揭露具資訊內涵，且專業性媒體上所披露者較非專業性媒體有用性為高。

本研究探討Banker and Chen (2006)建構之CVCS模型與本研究建構之CVCS’模型之盈餘預測準確度與資訊內涵，並以ROE模型、OPINC模型、CASHFLOW模型與分析師盈餘預測作為判斷CVCS模型與CVCS’模型是否具有盈餘預測準確度與資訊內涵之比較基準模型。盈餘預測準確度之實證結果顯示：(1)CVCS模型之盈餘預測準確度低於ROE模型、OPINC模型與CASHFLOW模型之盈餘預測準確度；(2)CVCS’模型與ROE模型、OPINC模型、CASHFLOW模型之盈餘預測準確度並無差異；(3)CVCS模型之盈餘預測準確度低於分析師盈餘預測之盈餘預測準確度；(4)CVCS’模型之盈餘預測準確度低於分析師盈餘預測之盈餘預測準確度。資訊內涵之實證結果顯示：(1)CVCS模型之資訊內涵高於ROE模型、OPINC模型與CASHFLOW模型之資訊內涵；(2)CVCS’模型之資訊內涵低於ROE模型、OPINC模型與CASHFLOW模型之資訊內涵；(3)CVCS模型之資訊內涵低於分析師盈餘預測之資訊內涵；(4)CVCS’模型之資訊內涵低於分析師盈餘預測之資訊內涵。 / This study examines the forecast accuracy and the information content of CVCS model, proposed by Banker and Chen (2006), and CVCS’ model, constructed by this study. To evaluate the performances of these two models, this study uses ROE model, OPINC model, CASHFLOW model and analysts’ consensus forecasts as the benchmarks. The results of forecast accuracy show (1) the forecast accuracy of CVCS model is less than that of ROE model, OPINC model, and CASHFLOW model, (2) the forecast accuracy of CVCS’ model is not different from that of ROE model, OPINC model, and CASHFLOW model, (3) the forecast accuracy of CVCS model is less than that of analysts’ consensus forecasts and (4) the forecast accuracy of CVCS’ model is less than that of analysts’ consensus forecasts. The results of information content show (1) the information content of CVCS model is greater than that of ROE model, OPINC model, and CASHFLOW model, (2) the information content of CVCS’ model is less than that of ROE model, OPINC model, and CASHFLOW model, (3) the information content of CVCS model is less than that of analysts consensus forecasts, (4) the information content of CVCS’ model is less than that of analysts consensus forecasts.

本研究探討分析師在進行盈餘預測時是否會考慮會計師的審計品質。不同於過去文獻，本研究除了測試「品牌層級」的審計品質（brand-name level audit quality）與「事務所層級」（firm level audit quality）的審計品質外，利用我國簽證制度進一步檢視分析師盈餘預測之品質是否因會計師個人層級之審計品質 (individual-level audit quality) 的差異而有所不同。本研究以Heckman (1979) 之兩階段模型來控制會計師選擇內生性的問題，進行實證分析。實證結果顯示：(1) 四大會計師事務所對於分析師預測準確度具有正面影響，但侷限於小規模公司，呈現顯著正相關。(2) 四大事務所彼此之審計品質對於分析師預測準確度與離散程度之影響，並無顯著之差異，但整體來說，資誠會計師事務所之表現最佳，而小規模公司中，安永之表現較差；大規模公司中，勤業眾信之表現較差，此與一般市場所認知者不同。(3) 當分析師盈餘預測之對象為小規模公司時，審計品質最差的個別會計師會降低（提高）分析師預測準確度（離散程度）。反之，測試對象為大規模公司時，審計品質最佳的個別會計師會降低分析師預測準確度但，審計品質最差者，與本研究預期不符。結果顯示我國之分析師在進行盈餘預測時，會考量個別會計師之審計品質。 / This paper investigates the association between audit quality and properties of analysts’ earnings forecasts. Three levels of audit quality are identified and examined: brand-name level (proxied by a dummy Big 4), firm level (proxied by four dummies DT, PWC, KPMG, and EY), and individual-level (proxied by the average of the absolute values of discretionary accruals for all companies audited by the same auditor, grouped by quartiles). After separating sample companies into big, medium, and small sizes, the empirical results document several important findings. When audit quality is measured at the brand-name level, Big 4 improve analysts’ forecast accuracy for small companies only. However, Big 4 do not decrease analysts’ forecast dispersion. When the audit quality is measured at the firm level, analysts seem to regard EY and DT as of relatively low audit quality when small and big companies are the forecast targets, respectively. When the audit quality is measured at the individual level, auditors who are deemed to have the lowest audit quality (i.e., in the fourth quartile) are associated with less forecast accuracy and greater forecast dispersion in small companies. In contrast, auditors who are deemed to have the highest audit quality (i.e., in the first quartile) are associated with lower forecast dispersion in big companies. Taken together, the empirical results indicate that audit quality affects analysts’ forecast properties. More importantly, analysts are able to identify individual auditor’s audit quality and react accordingly.

投資的獲利多寡並不單單基於預測的準確性，信心度的大小亦攸關獲利的結果。因為信心度愈大，則投資人將會提高投資的金額，而獲得更多的利潤。反之，雖然預測的結果是準確的，但若信心度很小，則投資人將不敢投入較多的金額，如此一來所獲得的利潤就有限了。本文嘗試著應用信心度函數來輔助說明多變量模糊時間數列預測結果，亦即預測模式對預測結果的屬性所具有的信心程度。最後利用多變量模糊時間數列模式，結合加權股價指數的收盤價及成交量兩個變量，針對台灣加權股價指數進行預測及衡量預測屬性的信心度。相信這對於風險控管及提高投資報酬深具意義。

本論文以公司規模大小、公司成長率、盈餘變異程度、盈餘持續率、負債比率、系統風險、以及產業別為控制變數，探討管理當局持股比率與管理當局自願性（強制性）盈餘預測準確度、盈餘管理程度之關係。並進一步探討管理當局持股比率與七個控制變數之交互作用對管理當局自願性（強制性）盈餘預測準礁度及盈餘管理程度之影響。 　　本實證研究結果發現： 　　1、自願性盈餘預測方面： 　　(1)管理當局持股比率越高且盈餘變異程度越大之公司，盈餘預測誤差越高，盈餘預測準確度越低。 　　(2)管理當局持股比率越高且負債比率越高之公司，盈餘預測誤差越高，盈餘預測準確度越低。 　　(3)產業別會影響其預測準確度，而產業中以鋼鐵業之盈餘預測準確度，顯著較高。 　　(4)公司成長率越高、盈餘持續率越高，其盈餘管理程度越高。 　　(5)產業中以電子業有顯著較高之盈餘管理程度。 　　2、強制性盈餘預測力面： 　　(1)管理當局持股比率與盈餘預測準確度成正相關。 　　(2)公司規模與盈餘預測準確度成負相關。 　　(3)盈餘持續率與盈餘預測準確度成負相關。 　　(4)產業別確實與強制性盈餘預測準確度有關，其中以電子業之盈餘預測準確度顯著較低。 　　(5)管理當局持股比率越高之紡織業其盈餘預測準確度顯著較低。 　　(6)強制性盈餘預測並無顯著的盈餘管理情況產生。 　　3、綜合結論： 　　(1)自願性之盈餘預測準確度高於強制性之盈餘預測準確度。 　　(2)自願性之盈餘管理程度高於強制性之盈餘管理程度。 / This research hypothesizes that the level of managerial ownership that controlling for earnings growth、earnings variability、earnings persistence、company risk、 debt、industry、and size has effect on both the magnitude of forecast precise of voluntary(compelling) forecast and the magnitude of discretionary accounting accrual adjustment. 　　In addition，this study examines that there are interaction of ownership effects on both the magnitude of forecast precise of voluntary (compelling) forecast and the magnitude of discretionary accounting accrual adjustment. 　　The empirical results show as follow: 　　1、Voluntary forecast aspect: 　　(1) Managerial ownership is negatively associated with the magnitude of forecast precise. 　　(2) Managerial ownership of is positively associated with the magnitude of discretionary accounting accrual adjustment. 　　2、Compelling forecast aspect: 　　(1) Managerial ownership is positively associated with the magnitude of forecast precise. 　　(2) Managerial ownership is not associated with the magnitude of discretionary accounting accrual adjustment. 　　3、Conclusion explication: 　　(1) The magnitude of forecast precise of voluntary forecast is more than that of compelling forecast. 　　(2) The magnitude of discretionary accounting accrual adjustment of voluntary forecast is more than that of compelling forecast. 　　(3) Industry variable indeed affects both the magnitude of forecast precise and the magnitude of discretionary accounting accrual adjustment.

本研究檢測審計品質與經理人能力對於分析師盈餘預測行為之相對有用性。根據Compustat 及 I/B/E/S所蒐集之1996至2011年資料，本研究發現，相對於非四大會計師事務所或非產業專家，當公司被四大會計師事務所或產業專家查核時，分析師預測之準確度較高，且離散度較小。此外，本研究發現當公司經理人能力較高時，分析師預測之準確度亦愈高，而離散度亦愈小。最後，為探討沙賓法案對分析師預測行為之影響，本研究將樣本區分為沙賓法案前及沙賓法案後兩組。實證結果顯示，相對於沙賓法案前，在沙賓法案後，分析師較重視審計品質與經理人能力。整體而言，審計品質與經理人能力皆會為分析師的盈餘預測帶來正面影響，而經理人能力之影響較為顯著。 / This study examines the relative usefulness of audit quality and managerial ability on financial analysts’ earnings forecast behavior. Based on data collected from Compustat and I/B/E/S from 1996 to 2011, the empirical results show that analysts' earnings forecast accuracy is higher and dispersion is smaller when firms are audited by a Big 4 auditor or an industry specialist. Similarly, analysts' earnings forecast accuracy is also higher and dispersion is also smaller when firms employ more capable managers. To investigate whether SOX affects analysts’ behavior, sample is divided into pre-SOX and post-SOX groups. The regression results from both groups show that analysts take audit quality and managerial ability into their earnings forecasts after SOX. Overall, the results suggest that both audit quality and managerial ability are associated with analysts’ earnings forecast properties. Importantly, the effect of managerial ability appears to be larger than the effect of audit quality.

本文嘗試以模糊理論的觀念，應用到時間數列分析上。研究重點包括模糊關係、模糊規則庫和模糊時間數列模式建構與預測等。我們首先給定模糊時間數列模式的概念與一些重要性質。接著提出模糊規則庫的定義，以及模式建構的流程，並以模糊關係方程式的推導，提出模糊時間數列模式建構方法。最後，利用提出的方法，對台灣地區加權股票指數建立模糊時間數列模式，並對未來進行預測，且考慮以平均預測準確度來做預測效果之比較。這對於財務金融的未來走勢分析將深具意義。 / The paper has attempted to apply the concept of fuzzy method on the analysis of time series. This reserch is also to include fuzzy relation, fuzzy rule base, fuzzy time series model constructed and forecasting. First, we'll define the concept of fuzzy time series model and some important properties. Next, the definition of fuzzy rule base will also be put forward, along with procedure of model constructed, the formation of fuzzy relation polynomial, and the methods to construct fuzzy time series model. At last, with the above methods, we'll build up fuzzy time series model on Taiwan Weighted Index and predict future trend while examine the predictive results with average forecasting accuracy. This shall carry profund signifigornce on the analysis of future trend in terms of financialism.

本研究以日本東京證券交易所上市公司為研究對象，探討董事會成員年齡與強制性盈餘預測之關聯性。本研究將董事會成員年齡區分為五種：董事長的年齡、董事會成員的平均年齡、董事會成員年齡的標準差、董事會成員最高年齡跟最低年齡的差距及董事長年齡是否高於董事會成員平均年齡，以測試其所發布盈餘預測準確度與盈餘預測偏差之關聯性。而實證結果發現董事長的年齡越大、董事會成員的平均年齡越大、董事長年齡高於董事會成員平均年齡時，所發布的盈餘預測準確度也就越高，且傾向較為保守的盈餘預測。而董事會成員年齡的標準差越大、董事會成員最高年齡與最低年齡差距越大時，所發布的盈餘預測準確度較低，且傾向較為樂觀的盈餘預測。