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Value Relevance Of Accounting Information Using An Error Correction Model

Author

Listed:
  • Luciana Spica Almilia
Abstract
Studies of accounting information value relevance are often based on the scale of R2 value. However, Insukindro (1998) states that a high R2 coefficient does not imply that a model is superior. When linear regression estimation produces a high coefficient of R2 but it is not consistent with the theory or it does not pass the classic linear regression assumption test, the model may be inferior. In this case, the model should not have been chosen as the best empirical model. This study contributes to the accounting information value relevance literature by providing a new econometric analysis in a value relevance model. The research samples consisted of 81 manufacturing companies, including 324 firm years, listed on the Indonesian Stock Exchange from 2003 to 2007. The results of this study indicate that the error correction models play a role in determining the value relevance of accounting information.

Suggested Citation

  • Luciana Spica Almilia, 2011. "Value Relevance Of Accounting Information Using An Error Correction Model," Accounting & Taxation, The Institute for Business and Finance Research, vol. 3(2), pages 119-131.
    • Handle: RePEc:ibf:acttax:v:3:y:2011:i:2:p:119-131
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Value Relevance; Earnings; Book Value Equity; Cash Flow; Error Correction Model; Error Correction Terms;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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