Branching-ratio approximation for the self-exciting Hawkes process.

@article{Hardiman2014BranchingratioAF,
  title={Branching-ratio approximation for the self-exciting Hawkes process.},
  author={Stephen J. Hardiman and Jean-Philippe Bouchaud},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2014},
  volume={90 6},
  pages={
          062807
        }
}
We introduce a model-independent approximation for the branching ratio of Hawkes self-exciting point processes. Our estimator requires knowing only the mean and variance of the event count in a sufficiently large time window, statistics that are readily obtained from empirical data. The method we propose greatly simplifies the estimation of the Hawkes branching ratio, recently proposed as a proxy for market endogeneity and formerly estimated using numerical likelihood maximization. We employ… 

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References

SHOWING 1-10 OF 24 REFERENCES
Apparent criticality and calibration issues in the Hawkes self-excited point process model: application to high-frequency financial data
TLDR
It is demonstrated that the calibration of the Hawkes process on mixtures of pure Poisson process with changes of regime leads to completely spurious apparent critical values for the branching ratio, while the true value is actually .
Non-parametric kernel estimation for symmetric Hawkes processes. Application to high frequency financial data
TLDR
A numerical method is defined that provides a non-parametric estimation of the kernel shape in symmetric multivariate Hawkes processes and finds slowly decaying (power-law) kernel shapes suggesting a long memory nature of self-excitation phenomena at the microstructure level of price dynamics.
Hawkes Process: Fast Calibration, Application to Trade Clustering and Diffusive Limit
TLDR
This study provides explicit formulas for the moments and the autocorrelation function of the number of jumps over a given interval for a self‐excited Hawkes process, and an implementation of the method of moments for parameter estimation that leads to an fast optimization algorithm.
Critical reflexivity in financial markets: a Hawkes process analysis
We model the arrival of mid-price changes in the E-mini S&P futures contract as a self-exciting Hawkes process. Using several estimation methods, we find that the Hawkes kernel is power-law with a
Hawkes branching point processes without ancestors
In this article, we prove the existence of critical Hawkes point processes with a finite average intensity, under a heavy-tail condition for the fertility rate which is related to a long-range
Modelling microstructure noise with mutually exciting point processes
TLDR
A new stochastic model for the variations of asset prices at the tick-by-tick level in dimension 1 and 2 is introduced and it is shown that the theoretical results are consistent with empirical fits on futures Euro–Bund and Euro–Bobl in several situations.
Hawkes model for price and trades high-frequency dynamics
We introduce a multivariate Hawkes process that accounts for the dynamics of market prices through the impact of market order arrivals at microstructural level. Our model is a point process mainly
Quantifying Reflexivity in Financial Markets: Towards a Prediction of Flash Crashes
TLDR
This measure quantifies how much of price changes is due to endogenous feedback processes, as opposed to exogenous news, in financial markets from a critical state defined precisely as the limit of diverging trading activity in the absence of any external driving.
Maximum likelihood estimation of Hawkes' self-exciting point processes
SummaryA maximum likelihood estimation procedure of Hawkes' self-exciting point process model is proposed with explicit presentations of the log-likelihood of the model and its gradient and Hessian.
Perfect simulation of Hawkes processes
TLDR
By viewing Hawkes processes as Poisson cluster processes and using their branching and conditional independence structures, useful approximations of the distribution function for the length of a cluster are derived and used to construct upper and lower processes for the perfect simulation algorithm.
...
1
2
3
...