| dc.description.abstract | Previous studies on the value relevance of accounting information adopt Ohlson’s linear
information dynamics which, if ‘other information’ is ignored, leads to a theoretical valuation
model solely involving earnings, book value, and net shareholder cash flows or (net dividends).
The lack of analysis of ‘other’ value-relevant data may defeat the effectiveness of the Ohlson’s
model since the current accounting data cannot fully account for future earnings. The potential
implication of ignoring ‘other information’ is that it could introduce bias into estimated
coefficients (e.g. Ohlson, 1995; Hand and Landsman, 2005). This study examines the effect of
introducing ‘other information’ proxied by lagged ‘valuation error’ on equity valuation, utilizing
a sample of non-financial companies listed at the Kuwait Stock Exchange (KSE) over the period
2003 to 2009. Empirical results of this study reveal that our proxy for ‘other information’ appears
to capture valuation implications of information other than current variables in the linear
information dynamic setting. Results also reveal that adding ‘other information’ to the valuation
model clearly reduces the coefficients on earnings and dividends, and increases the coefficient of
book value; however, book value and earnings remain significantly associated with stock prices.
As a consequence, current accounting variables appear to be capturing some, but not all, of ‘other
information’ when this variable is omitted. We conclude that ‘other information’ is an important
factor in determining the market value of firms and hence should not be omitted in studies
examining the value relevance of accounting information. | |
