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

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  • Yun Shen
  • Andrew W. Stark

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.

Suggested Citation

  • Yun Shen & Andrew W. Stark, 2013. "Evaluating the effectiveness of model specifications and estimation approaches for empirical accounting-based valuation models," Accounting and Business Research, Taylor & Francis Journals, vol. 43(6), pages 660-682, December.
    • Handle: RePEc:taf:acctbr:v:43:y:2013:i:6:p:660-682
    DOI: 10.1080/00014788.2013.840236
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    2. Veltri, Stefania & Ferraro, Olga, 2018. "Does other comprehensive income matter in credit-oriented systems? Analyzing the Italian context," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 30(C), pages 18-31.
    3. Abdul Wahab, Nor Shaipah & Holland, Kevin, 2015. "The persistence of book-tax differences," The British Accounting Review, Elsevier, vol. 47(4), pages 339-350.
    4. Harakeh, Mostafa & Lee, Edward & Walker, Martin, 2019. "The effect of information shocks on dividend payout and dividend value relevance," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 82-96.
    5. Nicholas Belesis & John Sorros & Alkiviadis Karagiorgos, 2020. "Financial Market Data Versus Accounting Data: Which Better Explains Stock Returns?," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 26(1), pages 59-72, February.
    6. Iris Bergmann & Wolfgang Schultze, 2018. "Accounting based valuation: a simultaneous equations model for forecasting earnings to proxy for ‘other information’," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 1057-1091, May.

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