Abstract
We use a discrete-time analysis, giving necessary and sufficient conditions for the almost-sure convergence of ARCH(1) and GARCH(1, 1) discrete-time models, to suggest an extension of the ARCH and GARCH concepts to continuous-time processes. Our 'COGARCH' (continuous-time GARCH) model, based on a single background driving Lévy process, is different from, though related to, other continuous-time stochastic volatility models that have been proposed. The model generalises the essential features of discrete-time GARCH processes, and is amenable to further analysis, possessing useful Markovian and stationarity properties.
| Original language | English |
|---|---|
| Pages (from-to) | 601-622 |
| Number of pages | 22 |
| Journal | Journal of Applied Probability |
| Volume | 41 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Sept 2004 |
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