Abstract
This paper investigates the mean‐reverting component in real stock prices for sixteen countries using a Kalman filter maximum likelihood estimation procedure to measure the transitory, permanent and seasonal components. Evidence is provided supporting the mean‐reversion hypothesis that stock prices are not pure random walks: a statistically significant mean reverting component is found in each country's stock prices. Nevertheless, for twelve of the sixteen countries the transitory component does not explain more than 5% of the variation in stock prices.
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