In this paper, we focus on the high frequency dynamics of limit order flow and market order flow. We compared the fitting performance of different models for the inter-arrival time of the order flow, including exponential distribution, gamma distribution and power law. We then studied the dependence of the placement of these two order flows, which can be captured by the self-excitation effect and mutual-excitation effect of Hawkes process. We also introduced a new model which combines the Hawkes features with the gamma distribution. Key words: High frequency dynamics; order flow; market microstructure; maximum likelihood estimation; Hawkes process; Hawkes-Gamma distribution
We propose and study a simple stochastic model for the dynamics of a limit order book, in which arri...
International audienceWe introduce a Cox-type model for relative intensities of orders flows in a li...
International audienceHigh-dimensional Hawkes processes with exponential kernels are used to describ...
In this paper, we focus on the high frequency dynamics of limit order flow and market order flow. We...
Compared with low frequency data, high frequency data exhibit distinct empirical properties, includi...
AbstractThose empirical properties exhibited by high frequency financial data, such as time-varying ...
Those empirical properties exhibited by high frequency financial data, such as time-varying intensit...
We show that multivariate Hawkes processes coupled with the nonparametric estimation procedure first...
We propose a model for the dynamics of a limit order book in a liquid market where buy and sell orde...
Some financial market regulators utilize a price limit mechanism. A number of past studies show that...
We study statistical aspects of state-dependent Hawkes processes, which are an extension of Hawkes p...
The quality of various Hawkes-process-based order book models are assessed using some objectivecrite...
The high-frequency limit order book (LOB) market has recently attracted increasing research attentio...
We propose and study a simple stochastic model for the dynamics of a limit order book, in which arri...
International audienceIt has been suggested that marked point processes might be good candidates for...
We propose and study a simple stochastic model for the dynamics of a limit order book, in which arri...
International audienceWe introduce a Cox-type model for relative intensities of orders flows in a li...
International audienceHigh-dimensional Hawkes processes with exponential kernels are used to describ...
In this paper, we focus on the high frequency dynamics of limit order flow and market order flow. We...
Compared with low frequency data, high frequency data exhibit distinct empirical properties, includi...
AbstractThose empirical properties exhibited by high frequency financial data, such as time-varying ...
Those empirical properties exhibited by high frequency financial data, such as time-varying intensit...
We show that multivariate Hawkes processes coupled with the nonparametric estimation procedure first...
We propose a model for the dynamics of a limit order book in a liquid market where buy and sell orde...
Some financial market regulators utilize a price limit mechanism. A number of past studies show that...
We study statistical aspects of state-dependent Hawkes processes, which are an extension of Hawkes p...
The quality of various Hawkes-process-based order book models are assessed using some objectivecrite...
The high-frequency limit order book (LOB) market has recently attracted increasing research attentio...
We propose and study a simple stochastic model for the dynamics of a limit order book, in which arri...
International audienceIt has been suggested that marked point processes might be good candidates for...
We propose and study a simple stochastic model for the dynamics of a limit order book, in which arri...
International audienceWe introduce a Cox-type model for relative intensities of orders flows in a li...
International audienceHigh-dimensional Hawkes processes with exponential kernels are used to describ...