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    Title: The random walk hypothesis revisited: evidence from the 16 OECD stock prices
    Authors: Shen, Chung-Hua;Chen, Shyh-Wei
    沈中華
    Contributors: 金融系
    Date: 2009
    Issue Date: 2015-03-18 14:49:11 (UTC+8)
    Abstract: Using 16 OECD stock price indices data, this paper revisits the random walk hypothesis by inspecting the degree of persistence of stock prices. We adopt two recently developed econometric procedures, due to Hansen (1999) and Romano and Wolf (2001), in order to estimate 95% confidence intervals for the sum of the AR coefficients in AR representations of international stock prices. Confidence intervals provide much more information than knowing whether the null hypothesis of a unit root can be rejected or not. They serve as a measure of sampling uncertainty and describe the range of models that are consistent with the observed data. The results convincingly support the view that the stock price indices in the OECD countries are highly persistent. The high persistence in the OECD stock price indices provides strong evidence for the random walk hypothesis.
    Relation: Economics Bulletin volume 29, issue 1
    Data Type: article
    Appears in Collections:[Department of Money and Banking] Periodical Articles

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