High-frequency sampling of a continuous-time ARMA process

Peter J. Brockwell, Vincenzo Ferrazzano, Claudia Klüppelberg

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Continuous-time autoregressive moving average (CARMA) processes have recently been used widely in the modelling of non-uniformly spaced data and as a tool for dealing with high-frequency data of the form y,n=0,1,2,..., where Δ is small and positive. Such data occur in many fields of application, particularly in finance and in the study of turbulence. This article is concerned with the characteristics of the process (y)nεZ, when Δ is small and the underlying continuous-time process (yt)tεR is a specified CARMA process.

Original languageEnglish
Pages (from-to)152-160
Number of pages9
JournalJournal of Time Series Analysis
Volume33
Issue number1
DOIs
StatePublished - Jan 2012

Keywords

  • CARMA process
  • Discretely sampled process
  • High-frequency data

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