行业层面的分析能提高盈利能力和增长预测吗?

P. M. Fairfield, Sundaresh Ramnath, T. Yohn
{"title":"行业层面的分析能提高盈利能力和增长预测吗?","authors":"P. M. Fairfield, Sundaresh Ramnath, T. Yohn","doi":"10.2139/ssrn.589361","DOIUrl":null,"url":null,"abstract":"A long history of economic theory suggests that industry membership plays an important role in explaining a firm's financial performance. In this paper we investigate the usefulness of industry benchmarks and industry level analysis for predicting a firm's future profitability and growth. Specifically we investigate whether incorporating the industry performance metric provides incremental information over the firm specific metric for explaining performance one-year-ahead. We also investigate the usefulness of performing industry level analysis relative to an analysis of all firms pooled across the economy. We find little or no incremental explanatory power from incorporating industry information for predicting future profitability, defined either as return on equity or return on net operating assets. Nor do we find industry information incrementally informative for predicting growth in net operating assets. We do, however, find significant improvement from incorporating industry information for predicting growth in sales. These general results hold for one-, three-, and five-year windows, and are robust to alternative industry classification schemes.","PeriodicalId":202253,"journal":{"name":"University of Miami Herbert Business School Research Paper Series","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2005-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Does Industry-Level Analysis Improve Profitability and Growth Forecasts?\",\"authors\":\"P. M. Fairfield, Sundaresh Ramnath, T. Yohn\",\"doi\":\"10.2139/ssrn.589361\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A long history of economic theory suggests that industry membership plays an important role in explaining a firm's financial performance. In this paper we investigate the usefulness of industry benchmarks and industry level analysis for predicting a firm's future profitability and growth. Specifically we investigate whether incorporating the industry performance metric provides incremental information over the firm specific metric for explaining performance one-year-ahead. We also investigate the usefulness of performing industry level analysis relative to an analysis of all firms pooled across the economy. We find little or no incremental explanatory power from incorporating industry information for predicting future profitability, defined either as return on equity or return on net operating assets. Nor do we find industry information incrementally informative for predicting growth in net operating assets. We do, however, find significant improvement from incorporating industry information for predicting growth in sales. These general results hold for one-, three-, and five-year windows, and are robust to alternative industry classification schemes.\",\"PeriodicalId\":202253,\"journal\":{\"name\":\"University of Miami Herbert Business School Research Paper Series\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"University of Miami Herbert Business School Research Paper Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.589361\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"University of Miami Herbert Business School Research Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.589361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

经济理论的悠久历史表明,行业成员资格在解释企业财务绩效方面起着重要作用。在本文中,我们研究了行业基准和行业水平分析对预测企业未来盈利能力和增长的有用性。具体来说,我们研究了合并行业绩效指标是否比公司特定指标提供了增量信息,以解释未来一年的业绩。我们还研究了执行行业水平分析相对于分析整个经济中汇集的所有公司的有用性。我们发现,结合行业信息预测未来盈利能力(定义为股本回报率或净经营资产回报率)的增量解释力很小或没有。我们也没有发现行业信息对于预测净经营资产的增长有增量的帮助。然而,我们确实发现通过整合行业信息来预测销售增长有了显著的改善。这些一般结果适用于1年、3年和5年的窗口,并且适用于其他行业分类方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does Industry-Level Analysis Improve Profitability and Growth Forecasts?
A long history of economic theory suggests that industry membership plays an important role in explaining a firm's financial performance. In this paper we investigate the usefulness of industry benchmarks and industry level analysis for predicting a firm's future profitability and growth. Specifically we investigate whether incorporating the industry performance metric provides incremental information over the firm specific metric for explaining performance one-year-ahead. We also investigate the usefulness of performing industry level analysis relative to an analysis of all firms pooled across the economy. We find little or no incremental explanatory power from incorporating industry information for predicting future profitability, defined either as return on equity or return on net operating assets. Nor do we find industry information incrementally informative for predicting growth in net operating assets. We do, however, find significant improvement from incorporating industry information for predicting growth in sales. These general results hold for one-, three-, and five-year windows, and are robust to alternative industry classification schemes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信