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.

A Hawkes model with CARMA(p,q) intensity / L. Mercuri, A. Perchiazzo, E. Rroji. - In: INSURANCE MATHEMATICS & ECONOMICS. - ISSN 0167-6687. - 116:(2024), pp. 1-26. [Epub ahead of print] [10.1016/j.insmatheco.2024.01.007]

A Hawkes model with CARMA(p,q) intensity

L. Mercuri
Primo
;
2024

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.
Autocorrelation; CARMA; Hawkes; Infinitesimal generator; Markov process; Point processes
Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarie
   The effects of climate change in the evaluation of financial instruments
   MINISTERO DELL'UNIVERSITA' E DELLA RICERCA
   20225PC98R_003
2024
https://www.sciencedirect.com/science/article/pii/S0167668724000180?via=ihub#ac0010
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1027048
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