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This paper examines the empirical evidence of the effect of deregulation on the informativeness of earnings reports within the airline and trucking industries. Specifically, we test how deregulation affects the stock return variability around quarterly earnings announcement dates, and the impact of deregulation on analyst forecast revision coefficients. Our results generally support our predictions. Deregulation resulted in a significant increase in return variability for the experimental group over time. This increase did not occur, however, for regulated control firms or non-regulated control firms. When intergroup comparisons between deregulated firms and regulated control firms are made, there is a significant increase in return variability after the deregulation of experimental firms, but the intergroup comparison between deregulated firms and non-regulated control firms do not show any significant changes in return variability at the time of the deregulation of the experimental firms. A second measure of informativeness, the analysts' revision coefficient, is also employed but, the results are mixed. When the time period is extended more than five years, this trend is not as striking. These results generally imply that financial statements become more informative and more important to users for several years after deregulation.

參考文獻


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被引用紀錄


吳心儀(2002)。分析師預測誤差與公司特性的關聯性〔碩士論文,元智大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0009-0112200611320898

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