The limit distribution of the maximum increment of a random walk with dependent regularly varying jump sizes
DOI10.1007/s00440-012-0427-2zbMath1282.60053OpenAlexW2034245644MaRDI QIDQ1955845
Publication date: 19 June 2013
Published in: Probability Theory and Related Fields (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00440-012-0427-2
regular variationmoving average processextreme value distributionGARCH processstochastic volatility modelmaximum increment of a random walkdependent jump sizes
Extreme value theory; extremal stochastic processes (60G70) Sums of independent random variables; random walks (60G50) Large deviations (60F10) Time series analysis of dynamical systems (37M10)
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- On limit theorems for Banach-space-valued linear processes
- The limit distribution of the maximum increment of a random walk with regularly varying jump size distribution
- New techniques for empirical processes of dependent data
- Implicit renewal theory and tails of solutions of random equations
- Support theorems for the Radon transform and Cramér-Wold theorems
- Testing epidemic changes of infinite dimensional parameters
- Regularly varying multivariate time series
- Extremes and related properties of random sequences and processes
- Limit theory for moving averages of random variables with regularly varying tail probabilities
- Limit theory for the sample covariance and correlation functions of moving averages
- Random difference equations and renewal theory for products of random matrices
- Extremes of moving averages of stable processes
- Limit theory for bilinear processes with heavy-tailed noise
- The sample ACF of a simple bilinear process
- Regular variation of GARCH processes.
- The sample autocorrelations of heavy-tailed processes with applications to ARCH
- Generalized autoregressive conditional heteroscedasticity
- Extremal behaviour of solutions to a stochastic difference equation with applications to ARCH processes
- Limit theory for the sample autocorrelations and extremes of a GARCH \((1,1)\) process.
- Ruin probability with claims modeled by a stationary ergodic stable process.
- The supremum of a negative drift random walk with dependent heavy-tailed steps.
- Hölder norm test statistics for epidemic change
- Point process and partial sum convergence for weakly dependent random variables with infinite variance
- Extremal behavior of regularly varying stochastic processes
- Large deviations and ruin probabilities for solutions to stochastic recurrence equations with heavy-tailed innovations
- Point process convergence of stochastic volatility processes with application to sample autocorrelation
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