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20052008
most citedMarket Mill Dependence Pattern in the Stock Market: Asymmetry Structure, Nonlinear Correlations and Predictability

6 citations · 29 across the 6 of their papers we have counts for

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6 papers

q-fin.ST2008★ 4 cited

Market Mill Dependence Pattern in the Stock Market: Multiscale Conditional Dynamics

Sergey Zaitsev, Alexander Zaitsev, Andrei Leonidov +1

Market Mill is a complex dependence pattern leading to nonlinear correlations and predictability in intraday dynamics of stock prices. The present paper puts together previous effo…

physics.soc-ph2007★ 4 cited

Market Mill Dependence Pattern in the Stock Market: Modeling of Predictability and Asymmetry via Multi-Component Conditional Distribution

Andrei Leonidov, Vladimir Trainin, Alexander Zatsev +1

Recent studies have revealed a number of striking dependence patterns in high frequency stock price dynamics characterizing probabilistic interrelation between two consequent price…

physics.soc-ph2006★ 5 cited

Market Mill Dependence Pattern in the Stock Market: Individual Portraits

Andrei Leonidov, Vladimir Trainin, Alexander Zaitsev +1

This paper continues a series of studies of dependence patterns following from properties of the bivariate probability distribution P(x,y) of two consecutive price increments x (pu…

physics.soc-ph2006★ 5 cited

Market Mill Dependence Pattern in the Stock Market: Distribution Geometry, Moments and Gaussization

Andrei Leonidov, Vladimir Trainin, Alexander Zaitsev +1

This paper continues a series of studies devoted to analysis of the bivariate probability distribution P(x,y) of two consecutive price increments x (push) and y (response) at intra…

physics.soc-ph2006★ 6 cited

Market Mill Dependence Pattern in the Stock Market: Asymmetry Structure, Nonlinear Correlations and Predictability

Andrei Leonidov, Vladimir Trainin, Alexander Zaitsev +1

An empirical study of joint bivariate probability distribution of two consecutive price increments for a set of stocks at time scales ranging from one minute to thirty minutes reve…

physics.soc-ph2005★ 5 cited

On collective non-gaussian dependence patterns in high frequency financial data

Andrei Leonidov, Vladimir Trainin, Alexander Zaitsev

The analysis of observed conditional distributions of both lagged and simultaneous intraday price increments of a basket of stocks reveals phenomena of dependence - induced volatil…