activity
20152021
most citedStatistical Inference for Ergodic Point Processes and Application to Limit Order Book

3 citations · 4 across the 6 of their papers we have counts for

collaborators

9 papers

math.ST2021

Optimal trading: a model predictive control approach

Simon Clinet, Jean-François Perreton, Serge Reydellet

We develop a dynamic trading strategy in the Linear Quadratic Regulator (LQR) framework. By including a price mean-reversion signal into the optimization program, in a trading envi…

math.ST2020

Quasi-likelihood analysis for marked point processes and application to marked Hawkes processes

Simon Clinet

We develop a quasi-likelihood analysis procedure for a general class of multivariate marked point processes. As a by-product of the general method, we establish under stability and…

q-fin.ST2019

Cointegration in high frequency data

Simon Clinet, Yoann Potiron

In this paper, we consider a framework adapting the notion of cointegration when two asset prices are generated by a driftless Itô-semimartingale featuring jumps with infinite acti…

math.ST2019

Asymptotic Distribution of the Score Test for Detecting Marks in Hawkes Processes

Simon Clinet, William T. M. Dunsmuir, Gareth W. Peters +1

The asymptotic distribution of the score test of the null hypothesis that marks do not impact the intensity of a Hawkes marked self-exciting point process is shown to be chi-square…

math.ST2017

Estimation for high-frequency data under parametric market microstructure noise

Simon Clinet, Yoann Potiron

We develop a general class of noise-robust estimators based on the existing estimators in the non-noisy high-frequency data literature. The microstructure noise is a parametric fun…

q-fin.ST2017

Testing if the market microstructure noise is fully explained by the informational content of some variables from the limit order book

Simon Clinet, Yoann Potiron

In this paper, we build tests for the presence of residual noise in a model where the market microstructure noise is a known parametric function of some variables from the limit or…

q-fin.ST2017★ 1 cited

Efficient asymptotic variance reduction when estimating volatility in high frequency data

Simon Clinet, Yoann Potiron

This paper shows how to carry out efficient asymptotic variance reduction when estimating volatility in the presence of stochastic volatility and microstructure noise with the real…

q-fin.ST2016

Statistical inference for the doubly stochastic self-exciting process

Simon Clinet, Yoann Potiron

We introduce and show the existence of a Hawkes self-exciting point process with exponentially-decreasing kernel and where parameters are time-varying. The quantity of interest is…

math.ST2015★ 3 cited

Statistical Inference for Ergodic Point Processes and Application to Limit Order Book

Simon Clinet, Nakahiro Yoshida

We construct a general procedure for the Quasi Likelihood Analysis applied to a multivariate point process on the real half line in an ergodic framework. More precisely, we assume…