Finite Mixture Approximation of CARMA(p,q) Models

Lorenzo Mercuri, ANDREA PERCHIAZZO, Edit Rroji

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper we show how to approximate the transition density of a CARMA(p,q) model driven by a time-changed Brownian motion based on the Gauss-Laguerre quadrature. This approach allows us to introduce an estimation method that maximizes a likelihood function constructed using the approximated transition density. We also provide formulas for the futures term structures and for prices of options written on futures when the underlying follows an exponential CARMA(p,q) model.
Original languageEnglish
Pages (from-to)1416-1458
Number of pages43
JournalSIAM Journal on Financial Mathematics
Volume12
Issue number4
DOIs
Publication statusPublished - 2021

Keywords

  • continuous-time ARMA processes
  • pricing derivatives
  • transition density

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