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  • 學位論文

以傳統財務資訊與COSO五大內部控制構面探討主併公司購併宣告對累積異常報酬之影響

The Effect of Traditional Financial Information and COSO Internal Control of Accumulate Abnormal Return of Merger and Acquisition Event Announcement

指導教授 : 林利萱
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摘要


本研究檢視購併宣告事件對主併公司股價之影響,以傳統財務資訊及COSO五大內部控制構面探討影響主併公司購併宣告累積異常報酬之因素。本研究將購併宣告之主併公司分為高科技產業(資訊電子業)以及非高科技產業(非資訊電子業之其他產業)分別來探討。   本研究萃取之購併宣告主併公司,是以在台灣證券交易所上市,曾經於公開資訊觀測站、經濟日報或工商時報公告購併事件之公司。樣本期間為2000年1月至2007年12月。   本研究之研究方法首先採用事件研究法之市場模式計算主併公司之累積異常報酬,並觀察是否有正向或負向之累積異常報酬。其次利用複迴歸模型觀察傳統財務資訊以及COSO五大內部控制變數對主併公司累積異常報酬的影響。實證結果如下: 一、在全部主併公司樣本以及高科技產業主併公司樣本下,購併宣告前均有顯著正向之累積異常報酬,此結果與國內以及國外學者均相同。但非高科技產業主併公司樣本之購併宣告效果並無顯著之累積異常報酬。 二、在全部主併公司樣本下,傳統財務資訊之活動力對全部主併公司之累積異常報酬有負向影響,此結果與蘇羨惠(2001)相同;COSO內控構面裡,風險評估購面之管理階層盈餘特性及資訊與溝通構面之財測次數對全部主併公司之累積異常報酬分別有正向及負向之影響。 三、在高科技產業主併公司樣本下,傳統財務資訊之活動力對高科技產業主併公司之累積異常報酬有負向影響;COSO內控構面裡,控制環境構面之經理人持股比例、財務主管異動次數,風險評估購面之關係人財產交易比例有正向影響;監督構面之董事長是否兼任總經理則有負向影響。 四、在非高科技產業主併公司樣本下,傳統財務資訊之獲利能力以及活動力對非高科技產業主併公司之累積異常報酬分別有正向及負向影響;COSO內控構面裡,風險評估購面之背書保證比例、管理階層盈餘特性以及資訊與溝通構面之資訊科技預算比例均為負向影響。

並列摘要


This study observed the effect of stock price in the M&A event announcement. We investigated the effect of traditional financial information and COSO internal control of accumulate abnormal return(CAR)of M&A event announcement. We divided our sample into high-tech industries and nonhigh-tech industries. The samples we used were obtained from the Taiwan Economic Journal, Commercial Times and Economic Daily News. The study periods were started from January 2000 to December 2007.   First of all, this study uses market model of event study to calculate the cumulative abnormal returns. Then we observed it contains positive or negative cumulative abnormal returns. Secondly we use multiple regression model to investigate the effect of traditional financial information and COSO internal control for accumulate abnormal return. The empirical findings of this study are as follows: 1.The overall samples and high-tech industries sample appeared significantly positive cumulative abnormal returns before the merger announcement date. But non-high-tech industries sample not appeared significantly positive cumulative abnormal returns. 2.the overall samples, the result indicated that asset turnover were negative to CAR. Management earnings forecast errors were positive and financial forecast frequency were negative to CAR. 3.In the high-tech samples, the result indicated that asset turnover were negative to CAR. Managerial stockownership、accounting line manager turnover and related party transactions were positive to CAR, and CEO duality were negative to CAR. 4.In the nonhigh-tech sample, the result indicated that profitability were positive and asset turnover were negative to CAR. Guarantee、management earnings forecast errors and information technology investment were negative to CAR.

參考文獻


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