Statistical inference for ergodic point processes and application to limit order book
DOI10.1016/j.spa.2016.09.014zbMath1373.60086arXiv1512.01899OpenAlexW2524671997MaRDI QIDQ2359704
Nakahiro Yoshida, Simon Clinet
Publication date: 22 June 2017
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1512.01899
ergodicityHawkes processlimit order bookmultivariate point processinferential statisticsquasi likelihood analysis
Asymptotic properties of parametric estimators (62F12) Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (19)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Maximum likelihood estimation of Hawkes' self-exciting point processes
- Polynomial type large deviation inequalities and quasi-likelihood analysis for stochastic differential equations
- Markov chains and stochastic stability
- The asymptotic behaviour of maximum likelihood estimators for stationary point processes
- Estimation of the spectral parameters of a stationary point process
- Stability of nonlinear Hawkes processes
- A MATHEMATICAL APPROACH TO ORDER BOOK MODELING
- Price Dynamics in a Markovian Limit Order Market
- Modelling Bid and Ask Prices Using Constrained Hawkes Processes: Ergodicity and Scaling Limit
- A Stochastic Model for Order Book Dynamics
- Stability of Markovian processes II: continuous-time processes and sampled chains
- Stability of Markovian processes III: Foster–Lyapunov criteria for continuous-time processes
- Long-Time Behavior of a Hawkes Process--Based Limit Order Book
- Maximum likelihood estimation for stationary point processes
- The Markovian self-exciting process
- Ergodicity and Diffusivity of Markovian Order Book Models: A General Framework
- Statistical theory of the continuous double auction
- The order book as a queueing system: average depth and influence of the size of limit orders
- Simulating and Analyzing Order Book Data: The Queue-Reactive Model
- STATIONARY DISTRIBUTION OF THE VOLUME AT THE BEST QUOTE IN A POISSON ORDER BOOK MODEL
- Modelling microstructure noise with mutually exciting point processes
- Information criteria in model selection for mixing processes
This page was built for publication: Statistical inference for ergodic point processes and application to limit order book