Trading activity as driven Poisson process: comparison with empirical data

Economy – Quantitative Finance – Trading and Market Microstructure

Scientific paper

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9 pages, 5 figures, proceedings of APFA6

Scientific paper

10.1016/j.physa.2008.02.078

We propose the point process model as the Poissonian-like stochastic sequence
with slowly diffusing mean rate and adjust the parameters of the model to the
empirical data of trading activity for 26 stocks traded on NYSE. The proposed
scaled stochastic differential equation provides the universal description of
the trading activities with the same parameters applicable for all stocks.

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