{"title":"基于会计信息的对数线性股票估值","authors":"Rex Thompson, Randolph P. Beatty, Susan Riffe","doi":"10.2139/ssrn.311079","DOIUrl":null,"url":null,"abstract":"In this paper we provide an economic and econometric justification for using a log-linear form to estimate stock value based on accounting information. A log-linear form stands in contrast to the more traditional linear form. We state conditions under which log linear regression provides minimum variance unbiased estimates of log value as well as the appropriate transformation that yields the minimum variance unbiased estimate of value. Specification tests are suggested to infer conformity of the data to model assumptions and these are applied to a recent sample of public companies.","PeriodicalId":332226,"journal":{"name":"USC Marshall School of Business Research Paper Series","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Log-Linear Stock Valuation Based on Accounting Information\",\"authors\":\"Rex Thompson, Randolph P. Beatty, Susan Riffe\",\"doi\":\"10.2139/ssrn.311079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we provide an economic and econometric justification for using a log-linear form to estimate stock value based on accounting information. A log-linear form stands in contrast to the more traditional linear form. We state conditions under which log linear regression provides minimum variance unbiased estimates of log value as well as the appropriate transformation that yields the minimum variance unbiased estimate of value. Specification tests are suggested to infer conformity of the data to model assumptions and these are applied to a recent sample of public companies.\",\"PeriodicalId\":332226,\"journal\":{\"name\":\"USC Marshall School of Business Research Paper Series\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"USC Marshall School of Business Research Paper Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.311079\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"USC Marshall School of Business Research Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.311079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Log-Linear Stock Valuation Based on Accounting Information
In this paper we provide an economic and econometric justification for using a log-linear form to estimate stock value based on accounting information. A log-linear form stands in contrast to the more traditional linear form. We state conditions under which log linear regression provides minimum variance unbiased estimates of log value as well as the appropriate transformation that yields the minimum variance unbiased estimate of value. Specification tests are suggested to infer conformity of the data to model assumptions and these are applied to a recent sample of public companies.