文章基本信息

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 等
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.