Ergodicity and scaling limit of a constrained multivariate Hawkes process

By Ban Zheng, Franccois Roueff, Frédéric Abergel. 2013

52 citations recorded by the source corpus.

We introduce a multivariate Hawkes process with constraints on its conditional density. It is a multivariate point process with conditional intensity similar to that of a multivariate Hawkes process but certain events are forbidden with respect to boundary conditions on a multidimensional constraint variable, whose evolution is driven by the point process. We study this process in the special case where the fertility function is exponential so that the process is entirely described by an underlying Markov chain, which includes the constraint variable. Some conditions on the parameters are established to ensure the ergodicity of the chain. Moreover, scaling limits are derived for the integrated point process. This study is primarily motivated by the stochastic modelling of a limit order book for high frequency financial data analysis.

Subfields: Applied Mathematics

View Paper: https://www.semanticscholar.org/paper/9dd243d6ea6f6bc4a04053b7ef9e15178b531fad

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In Applied Mathematics

  1. Fabrizio Lillo
  2. Simon Clinet
  3. Nakahiro Yoshida
  4. M. Rambaldi
  5. Emmanuel Bacry
  6. Alan G. Hawkes
  7. Mathieu Rosenbaum
  8. Jean-François Muzy

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