Graflund, Andreas () (Department of Economics, Lund University)
Abstract
In this paper we use a Bayesian approach to test for mean reversion in the Swedish stock market on monthly data 1918-1998. By simply account for the heteroscedasticty of the data with a two state hidden Markov model of normal distributions and taking estimation bias into account via Gibbs sampling we can find no support of mean reversion. This is a contradiction to previous result from Sweden. Our findings suggest that the Swedish stock market can be characterized by two regimes, a tranquil and a volatile, and within the regimes the stock market is random. This finding of randomness is in line with recent evidence for the U.S stock market.
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Publisher Info
Paper provided by Lund University, Department of Economics in its series Working Papers with number
2000:8.
Length: 21 pages Date of creation: 03 Oct 2000 Date of revision:
09 Nov 2000 Handle: RePEc:hhs:lunewp:2000_008
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