Integrated OU Processes and Non‐Gaussian OU‐based Stochastic Volatility Models
DOI10.1111/1467-9469.00331zbMath1051.60048OpenAlexW2152817870MaRDI QIDQ4828199
Neil Shephard, Ole Eiler Barndorff-Nielsen
Publication date: 24 November 2004
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/1467-9469.00331
stochastic volatilityoption pricingOrnstein-Uhlenbeck processLévy processintegrated varianceeconometricsLévy densitycumulant functionchronometerbackground driving Lévy process
Processes with independent increments; Lévy processes (60G51) Applications of statistics to economics (62P20) Statistical methods; risk measures (91G70) Stationary stochastic processes (60G10) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Derivative securities (option pricing, hedging, etc.) (91G20)
Related Items (46)
Cites Work
- Unnamed Item
- Probability measures, Lévy measures and analyticity in time
- Generalized gamma convolutions and related classes of distributions and densities
- Empirical modeling of exchange rate dynamics
- Processes of normal inverse Gaussian type
- On the Lévy measure of the lognormal and the logCauchy distributions
- Non-Gaussian Ornstein–Uhlenbeck-based Models and Some of Their Uses in Financial Economics
- Superposition of Ornstein--Uhlenbeck Type Processes
- The Distribution of Realized Exchange Rate Volatility
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