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An empirical study of the relation between stock price and EPS in panel data: Korea case

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Author Info
Keun-Yeob Oh
Bonghan Kim
Honkee Kim

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Abstract

This study investigates the relationship between stock price and earnings-per-share using Korean stock market data. The nonstationarity of the data has been managed. In particular, recently developed panel cointegration techniques are used, which are known to be more powerful than individual cointegration methods. The tests applied to the panel data as a whole showed the cointegration relationship between the stock prices and EPS (earnings-per-share), while tests for the individual stock prices could not detect the cointegration. Therefore, there is now some evidence in support of weak mean-reversion for the PER (Price-Earnings Ratio). However, only mixed evidence was obtained for the hypothesis that the coefficient of EPS to the stock prices is equal to one. In short, stock prices do seem to move with firm fundamentals, in the long-run and on average, but not necessarily at the same rate.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal Applied Economics.

Volume (Year): 38 (2006)
Issue (Month): 20 (November)
Pages: 2361-2369
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Handle: RePEc:taf:applec:v:38:y:2006:i:20:p:2361-2369

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  1. Peter C.B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Cowles Foundation Discussion Papers 1222, Cowles Foundation, Yale University. [Downloadable!]
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  2. Hakkio, Craig S. & Rush, Mark, 1991. "Cointegration: how short is the long run?," Journal of International Money and Finance, Elsevier, vol. 10(4), pages 571-581, December. [Downloadable!] (restricted)
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  3. Fisher, Eric O'N & Park, Joon Y, 1991. "Testing Purchasing Power Parity under the Null Hypothesis of Co-integration," Economic Journal, Royal Economic Society, vol. 101(409), pages 1476-84, November. [Downloadable!] (restricted)
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