English  |  正體中文  |  简体中文  |  Items with full text/Total items : 52052/87180 (60%)
Visitors : 8894649      Online Users : 122
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/51551

    Title: 盈餘動能 : 以臺灣股市為例
    Other Titles: Earning momentum : evidence from Taiwan market
    Authors: 王嘉德;Wang, Chia-te
    Contributors: 淡江大學財務金融學系碩士班
    顧廣平;Ku, Kuang-ping
    Keywords: 盈餘;動能策略;Earning;Momentum Strategy
    Date: 2010
    Issue Date: 2010-09-23 15:25:13 (UTC+8)
    Abstract: 本研究以台灣證券交易所上市及中華民國證券櫃檯買賣中心上櫃之普通股為研究對象,針對1989年7月至2009年6月樣本期間,股票每月報酬和每季盈餘,分別採用隨機漫步模式與AR(1)模式估計預期盈餘,再以個股標準化未預期盈餘(Standardized Unexpected Earning,SUE)為建構盈餘動能組合的依據。研究結果顯示在所有樣本中不管是使用隨機漫步模式或是AR(1)模式,皆可使盈餘動能組合,顯著異於零之平均報酬持續至持有期間K=12個月。另外敏感度分析中依照時間(前期與後期、月份、季節)、市場、產業、規模、週轉率別分割樣本,以檢定盈餘動能效應是否只存在於特定樣本中,結果顯示盈餘動能效應,在控制這些因素之下,仍然持續存在。為了解釋所發現的盈餘動能效應,本研究以共同風險因子、公司特性、動能與經濟狀況去解釋盈餘動能效應,考量上述後,盈餘動能組合平均報酬仍然顯著大於零,其結果顯示盈餘動能效應無法透過共同風險因子、公司特性、總體經濟風險來解釋之。另外參考Jegadeesh and Titman(1993)事件研究法計算累積平均報酬來判斷投資人是否存在反應不足或是過度反應的現象,結果顯是盈餘動能效應可能是由於投資人對盈餘資訊反應不足所致。最後考量交易成本,得知盈餘動能效應並不因為考量交易成本後而消失。
    This thesis applies the Taiwan Stock Exchange and OTC securities ordinary shares with the stock returns and quarterly earnings per month for the period of July 1989 to June 2009. This thesis adopts the random walk model and AR (1) model to estimate the expected earnings, then standardized unexpected earnings for the evidence based on earnings momentum portfolio. Empirical results indicate that all samples adopt either random walk model or AR (1) model can apply to the holding period from average returns which significantly different from zero of earnings momentum portfolio continued to 12 months. On the aspect of sensitivity analysis, we split samples according to the time (early and late, months, seasons), market, industry, size and turnover rate to test the earnings momentum effect exists whether only in particular sample or not. The results show that earnings momentum effect under these factors still
    existed. In order to explain the earnings momentum effect found in this thesis, common risk factors, company characteristics, momentum and the economy should be taken into account to explain the earnings momentum effect. We found the average returns of earnings momentum portfolio are still significantly greater than zero, indicate that earnings momentum effect can’t be interpreted by the common risk factors, company characteristics and macroeconomic risk. Moreover, event study method from Jegadeesh and Titman (1993) determine whether the existence of inadequate response or overreaction from investors by the cumulative average returns, the results show that earnings momentum effect attributed to the lack of the investor reaction to earnings information. Finally, we found that the earnings momentum effect doesn’t disappear after the consideration of transaction costs.
    Appears in Collections:[財務金融學系暨研究所] 學位論文

    Files in This Item:

    File SizeFormat

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback