Evaluating the effectiveness of model specifications and estimation approaches for empirical accounting-based valuation models

Yun Shen, Andrew W. Stark

Research output: Contribution to journalArticlepeer-review

Abstract

This study considers the effectiveness of different model specifications and estimation approaches for empirical accounting-based valuation models in the UK. Primarily, we are interested in the accounting determinants of market value and, in particular, whether accounting-based valuation models can be estimated that not only have in-sample explanatory power but also potentially can be used as a tool of financial statement analysis in developing useful estimates of value out-of-sample. This requires models to be estimated on one sample, and tested for effectiveness on a different sample. Then, issues of model specification arise, together with choosing between methods of estimating the empirical models, in identifying the effectiveness of each combination. Using the criteria of bias and accuracy to capture effectiveness, we suggest estimation methods and models that, overall, provide the most effective models in this context. © 2013 Taylor and Francis.
Original languageEnglish
Pages (from-to)660-682
Number of pages22
JournalAccounting and Business Research
Volume43
Issue number6
DOIs
Publication statusPublished - 1 Dec 2013

Keywords

  • accounting-based valuation models
  • estimation approach
  • model specification
  • out-of-sample valuation errors

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