We study a precise large deviation principle for a stationary regularly varying sequence of random variables. This principle extends the classical results of Nagaev (Theory Probab Appl 14:51-64, 193-208, 1969) and Nagaev (Ann Probab 7:745-789, 1979) for iid regularly varying sequences. The proof uses an idea of Jakubowski (Stoch Proc Appl 44:291-327, 1993; 68:1-20, 1997) in the context of central limit theorems with infinite variance stable limits. We illustrate the principle for stochastic volatility models, real valued functions of a Markov chain satisfying a polynomial drift condition and solutions of linear and non-linear stochastic recurrence equations. © 2012 Springer-Verlag.
CITATION STYLE
Mikosch, T., & Wintenberger, O. (2013). Precise large deviations for dependent regularly varying sequences. Probability Theory and Related Fields, 156(3–4), 851–887. https://doi.org/10.1007/s00440-012-0445-0
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