Distinguishing between recurring and nonrecurring components of earnings using unobserved components modeling

IF 5.4 1区 管理学 Q1 BUSINESS, FINANCE
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引用次数: 0

Abstract

Distinguishing between recurring and nonrecurring components of earnings is a critical task in financial analysis and valuation. Academics and quantitative investors often rely on measures of recurring and nonrecurring components derived from standardized financial databases. We use unobserved components modeling and the Kalman smoother to obtain efficient ex-post estimates of the recurring and nonrecurring components of annual earnings. We then show that popular measures are significantly misspecified and that investors appear to anticipate a significant portion of the misspecification. Finally, we identify certain misclassified items that drive misspecification and provide algorithms to improve their ex-ante classification.

Abstract Image

利用非观测变量模型区分收益的经常性和非经常性组成部分
区分收益的经常性和非经常性部分是财务分析和估值中的一项重要任务。学术界和定量投资者通常依赖于从标准化金融数据库中得出的经常性和非经常性部分的衡量标准。我们使用非观察成分建模和卡尔曼平滑器来获得年度收益中经常性和非经常性成分的有效事后估计值。然后,我们表明,流行的衡量标准存在严重的误判,而投资者似乎预期到了很大一部分误判。最后,我们确定了某些导致误判的错误分类项目,并提供了改进其事前分类的算法。
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来源期刊
CiteScore
8.70
自引率
6.80%
发文量
68
期刊介绍: The Journal of Accounting and Economics encourages the application of economic theory to the explanation of accounting phenomena. It provides a forum for the publication of the highest quality manuscripts which employ economic analyses of accounting problems. A wide range of methodologies and topics are encouraged and covered: * The role of accounting within the firm; * The information content and role of accounting numbers in capital markets; * The role of accounting in financial contracts and in monitoring agency relationships; * The determination of accounting standards; * Government regulation of corporate disclosure and/or the Accounting profession; * The theory of the accounting firm.
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