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We propose a general interpretation for long-range correlation effects in the
activity and volatility of financial markets. This interpretation is based on
the fact that the choice between active' and inactive’ strategies is
subordinated to random-walk like processes. We numerically demonstrate our
scenario in the framework of simplified market models, such as the Minority
Game model with an inactive strategy. We show that real market data can be
surprisingly well accounted for by these simple models.

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