Evaluating the effectiveness of model specifications and estimation approaches for empirical accounting-based valuation models |
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Authors: | Yun Shen Andrew W. Stark |
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Affiliation: | 1. Nottingham University Business School China, The University of Nottingham Ningbo China, Ningbo, Chinayun.shen@nottingham.edu.cn;3. Manchester Business School, The University of Manchester, Manchester, UK |
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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. |
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Keywords: | accounting-based valuation models out-of-sample valuation errors model specification estimation approach |
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