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阅读说明

本页整理公开书目信息,不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成,未完成全文核验,可能有误;具体假设、证明与结论请核对原文。摘要保留来源文本,未经模型改写。

DOI 首次登记不等于接收或发表日期。部分更正、评论等条目没有独立摘要;缺少可靠材料时保留待补状态。

引用量采用 OpenAlex 单条关联记录,不合计多个记录;关联记录可能包含正式发表版本,不等于此版本单独引用。缺失不视为零,引用指标不代表论文质量。

关注作者按书目中的完整姓名匹配,同名和姓名变体需人工辨别。相关论文先按共享细分方向和具体方法排列,再参考通用方法与发表日期。

分类依据与纠错

AI 根据所提供的论文材料归类:摘要研究企业股利政策与股利预测,未直接研究资产定价或收益预测,也未明确建立面板模型。

反馈分类问题

正在核对关联版本…

代码、数据与补充材料

正在核对对应版本的资源…

关注这篇论文的作者
Eugene F. Fama
Harvey Babiak

股利政策的实证分析

研究问题
哪些部分调整模型能够解释并预测企业股利变化,又如何检验广泛搜寻拟合良好模型所产生的结论是否可靠?
方法与思路
作者比较 Lintner 模型及其变体,使用一半企业探索模型、另一半企业验证,并结合针对性模拟和新年度预测检验。
材料陈述的贡献
摘要称去掉常数项并加入上一年盈利的模型在新年度股利预测中表现最好,同时展示验证样本与模拟交叉核查的做法。
阅读关注点
应核对企业样本划分、候选模型搜寻范围、预测评价标准,以及模拟如何对应具体经验结论和自回归模型性质。
阅读边界
仅据版本未注明的 OpenAlex 索引摘要;未提供企业范围、误差数值或完整检验设置,模型优劣限于作者所述比较。

原文摘要

Starting with the “partial adjustment model” suggested by Lintner [10, 11], this paper examines the dividend policies of individual firms. The Lintner model, in which the change in dividends from year t-1 to year t is regressed on a constant, the level of dividends for t-1, and the level of profits for t, explains dividend changes for individual firms fairly well relative to other models tested. But a model in which the constant term is suppressed and the level of earnings for t-1 is added, provides the best predictions of dividends on a year of data not used in fitting the regressions. Though the dividend policy of individual firms is certainly a subject of economic interest, perhaps much of the novelty of the paper is methodological: specifically, the way in which a validation sample, simulations, and prediction tests are used to investigate results obtained from a pilot sample. To avoid spurious results that could follow from the extensive data-dredging involved in finding “good-fitting” dividend models, only half of the available firms are used in the original search, the remaining firms serving as a check on the findings. In addition, since the models tested are autoregressive, their statistical properties cannot always be evaluated analytically. This problem is surmounted to some extent by using simulations to study the results and conclusions obtained from the data for individual firms. The novelty in this use of simulations is that they are directed towards checking specific empirical results rather than establishing the properties of some general model. Finally, the conclusions drawn from the regression analysis and from the simulations are again checked by using the various models to predict dividend changes for a new year of data. The coherence in the results obtained with these various tests justifies strong conclusions with respect to the “best” dividend models and their properties.

笔记与分组