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  • 标题:Financial statement analysis:a Trickle-Down benchmarked factor analytic approach
  • 本地全文:下载
  • 作者:Chuo-Hsuan Lee ; Edward J.Lusk ; Michael Halperin
  • 期刊名称:Investment Management & Financial Innovations
  • 印刷版ISSN:1810-4967
  • 电子版ISSN:1812-9358
  • 出版年度:2011
  • 卷号:8
  • 期号:3
  • 页码:39-49
  • 语种:English
  • 出版社:LLC “Consulting Publishing Company “Business Perspectives”
  • 摘要:This study discusses and demonstrates a lean modeling process that is used to identify a parsimonious set of information essential in Financial Statement Analysis(FSA)for decision making.Although FSA has been widely used to pro?file corporate financial performance,it is still a challenge for financial analysts(FA)to identify relevant profiling in?formation in an effective and timely manner.The purpose of our lean modeling process is to:(1)reduce or eliminate the need for the "over-kill” checking where too many variables are needed to be collected;and(2)in addition to reduce possibly redundant financial variables,to identify the discriminating variables that discern firm performance.This modeling approach,which was developed from a long-term consulting engagement,was tested for "ease-of-use” and found to be simple to understand and produced consistent results.Finally,we use a real-world example to illustrate how financial analysts can apply our approach to develop benchmarks for making recommendations:Strong Buy,Buy, Hold,Sell and Strong Sell.
  • 关键词:factor variable reduction;discrimination testing;firm profiling.
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