Abstract
Let X be a Levy process with regularly varying Levy measure ν. We obtain sample-path large deviations for scaled processes. Xn(t) X(nt)/n and obtain a similar result for random walks with regularly varying increments. Our results yield detailed asymptotic estimates in scenarios where multiple big jumps in the increment are required to make a rare event happen; we illustrate this through detailed conditional limit theorems. In addition, we investigate connections with the classical large deviations framework. In that setting, we show that a weak large deviation principle (with logarithmic speed) holds, but a full large deviation principle does not hold.
Original language | English |
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Pages (from-to) | 3551-3605 |
Number of pages | 55 |
Journal | The Annals of Probability |
Volume | 47 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2019 |
Bibliographical note
Funding Information:Supported by an NWO VICI grant. Supported by NSF Grants DMS-0806145/0902075, CMMI-0846816 and CMMI-1069064. MSC2010 subject classifications. Primary 60F10, 60G17; secondary 60B10.
Publisher Copyright:
© Institute of Mathematical Statistics, 2019.
Keywords
- Lévy processes
- M-convergence
- Regular variation
- Sample path large deviations