基于会计信息的对数线性股票估值

Rex Thompson, Randolph P. Beatty, Susan Riffe
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引用次数: 5

摘要

在本文中,我们提供了一个经济和计量的理由,使用对数线性形式估计基于会计信息的股票价值。对数线性形式与更传统的线性形式形成对比。我们陈述了对数线性回归提供对数值的最小方差无偏估计的条件以及产生值的最小方差无偏估计的适当变换。建议进行规范测试,以推断数据与模型假设的一致性,并将这些测试应用于最近的上市公司样本。
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Log-Linear Stock Valuation Based on Accounting Information
In this paper we provide an economic and econometric justification for using a log-linear form to estimate stock value based on accounting information. A log-linear form stands in contrast to the more traditional linear form. We state conditions under which log linear regression provides minimum variance unbiased estimates of log value as well as the appropriate transformation that yields the minimum variance unbiased estimate of value. Specification tests are suggested to infer conformity of the data to model assumptions and these are applied to a recent sample of public companies.
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