Abstract
In this paper we introduce a new model, named CARMA(p,q)-Hawkes, as the Hawkes model with exponential kernel implies a strictly decreasing behavior of the autocorrelation function while empirical evidences reject its monotonicity. The proposed model is a Hawkes process where the intensity follows a Continuous Time Autoregressive Moving Average (CARMA) process. We also study the conditions for the stationarity and the positivity of the intensity and the strong mixing property for the increments. Furthermore, we present two estimation case studies based respectively on the likelihood and on the autocorrelation function.
| Original language | English |
|---|---|
| Pages (from-to) | 1-26 |
| Number of pages | 26 |
| Journal | INSURANCE MATHEMATICS & ECONOMICS |
| Volume | 116 |
| DOIs | |
| Publication status | Published - 2024 |
Keywords
- Autocorrelation
- CARMA
- Hawkes
- Infinitesimal generator
- Markov process
- Point processes
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