Some financial market regulators utilize a price limit mechanism. A number of past studies show that the price limit mechanism has a considerable impact on investors' behaviour. The altered mechanism per se, and its impact on investors' behaviour, change the order flow dynamics at price limit hits. We have proposed a model using Hawkes processes to model order arrivals when market dynamics switch to price limit hits. Goodness of fit tests showed that the model appropriately captures order arrival dynamics of intraday data from the Tehran Securities Exchange (TSE), which is a volatile market with narrow banded price limits (+/- 4). (C) 2016 Elsevier Inc. All rights reserved
A limit order book is essentially a file on a computer that contains all orders sent to the market, ...
The quality of various Hawkes-process-based order book models are assessed using some objectivecrite...
This paper presents a model of an order-driven market where fully strategic, symmetrically informed ...
International audience<p>In this work, we adopt Spread constrained Limit Order Book Hawkes Process (...
International audienceIt has been suggested that marked point processes might be good candidates for...
We present an order flow model framework for limit order driven mar-kets. Different from previous mo...
This article presents an order flow model framework for limit order driven markets. Different from p...
International audienceHawkes processes provide a natural framework to model dependenciesbetween the ...
A simple Hawkes model have been developed for the price tick structure dynamics incorporating market...
We fit a bivariate Hawkes process to arrival data for buy and sell trades in FX markets. The model c...
International audienceHigh-dimensional Hawkes processes with exponential kernels are used to describ...
Accurate forecasting of stock price movements is crucial for optimizing trade execution and mitigati...
International audienceThe authors model trades-through, i.e. transactions that reach at least the se...
In this paper, we focus on the high frequency dynamics of limit order flow and market order flow. We...
This thesis focuses on the statistical modeling of the dynamics of limit order books in electronic e...
A limit order book is essentially a file on a computer that contains all orders sent to the market, ...
The quality of various Hawkes-process-based order book models are assessed using some objectivecrite...
This paper presents a model of an order-driven market where fully strategic, symmetrically informed ...
International audience<p>In this work, we adopt Spread constrained Limit Order Book Hawkes Process (...
International audienceIt has been suggested that marked point processes might be good candidates for...
We present an order flow model framework for limit order driven mar-kets. Different from previous mo...
This article presents an order flow model framework for limit order driven markets. Different from p...
International audienceHawkes processes provide a natural framework to model dependenciesbetween the ...
A simple Hawkes model have been developed for the price tick structure dynamics incorporating market...
We fit a bivariate Hawkes process to arrival data for buy and sell trades in FX markets. The model c...
International audienceHigh-dimensional Hawkes processes with exponential kernels are used to describ...
Accurate forecasting of stock price movements is crucial for optimizing trade execution and mitigati...
International audienceThe authors model trades-through, i.e. transactions that reach at least the se...
In this paper, we focus on the high frequency dynamics of limit order flow and market order flow. We...
This thesis focuses on the statistical modeling of the dynamics of limit order books in electronic e...
A limit order book is essentially a file on a computer that contains all orders sent to the market, ...
The quality of various Hawkes-process-based order book models are assessed using some objectivecrite...
This paper presents a model of an order-driven market where fully strategic, symmetrically informed ...