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Microscopic models for long ranged volatility correlations

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Author Info
Irene Giardina
Jean-Philippe Bouchaud (Science & Finance, Capital Fund Management, CEA Saclay;)
Marc Mezard (Universite Paris Sud (Orsay))
Abstract

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, or a more sophisticated version that includes some price dynamics. We show that real market data can be surprisingly well accounted for by these simple models.

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Paper provided by Science & Finance, Capital Fund Management in its series Science & Finance (CFM) working paper archive with number 500024.

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Date of creation: Jan 2001
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Publication status: Published in Physica A 299 (1-2) (2001) pp. 28-39.
Handle: RePEc:sfi:sfiwpa:500024

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G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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