A Weak Limit Theorem for Numerical Approximation of Brownian Semi-stationary Processes
DOI10.1007/978-3-319-23425-0_4zbMath1338.60073OpenAlexW2193491353MaRDI QIDQ2801791
N. Thamrongrat, Mark Podolskij
Publication date: 22 April 2016
Published in: Stochastics of Environmental and Financial Economics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-23425-0_4
Central limit and other weak theorems (60F05) Stationary stochastic processes (60G10) Brownian motion (60J65) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30) Functional limit theorems; invariance principles (60F17)
Cites Work
- Unnamed Item
- Modelling energy spot prices by volatility modulated Lévy-driven Volterra processes
- Limit theorems for power variations of ambit fields driven by white noise
- Multipower variation for Brownian semistationary processes
- Weak limit theorems for stochastic integrals and stochastic differential equations
- On mixing and stability of limit theorems
- Asymptotic error distributions for the Euler method for stochastic differential equations
- The Euler scheme for Lévy driven stochastic differential equations: limit theorems.
- On stochastic integration for volatility modulated Lévy-driven Volterra processes
- Asymptotic theory for Brownian semi-stationary processes with application to turbulence
- On non-standard limits of Brownian semi-stationary processes
- Approximating Lévy Semistationary Processes via Fourier Methods in the Context of Power Markets
- On stochastic integration for volatility modulated Brownian-driven Volterra processes via white noise analysis
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