On Some Expectation and Derivative Operators Related to Integral Representations of Random Variables with Respect to a PII Process
DOI10.1080/07362994.2013.741395zbMath1288.60058arXiv1202.0619OpenAlexW2591666737MaRDI QIDQ4916404
Nadia Oudjane, Francesco Russo, Stéphane Goutte
Publication date: 22 April 2013
Published in: Stochastic Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1202.0619
Fourier transformscharacteristic functionmean-variance hedgingprocesses with independent incrementsFöllmer-Schweizer decompositionKunita-Watanabe decomposition
Processes with independent increments; Lévy processes (60G51) Derivative securities (option pricing, hedging, etc.) (91G20) Stochastic integrals (60H05)
Related Items (3)
Cites Work
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- Adapted solution of a backward stochastic differential equation
- Stochastic analysis in discrete and continuous settings. With normal martingales.
- Quadratic hedging in affine stochastic volatility models
- Variance-optimal hedging for processes with stationary independent increments
- Approximating random variables by stochastic integrals
- Affine processes and applications in finance
- On Lévy processes, Malliavin calculus and market models with jumps
- Explicit form and robustness of martingale representations.
- Analysis of Fourier Transform Valuation Formulas and Applications
- Variance optimal hedging for continuous time additive processes and applications
- Variance-Optimal Hedging for Time-Changed Lévy Processes
- THE NORMAL INVERSE GAUSSIAN DISTRIBUTION AND SPOT PRICE MODELLING IN ENERGY MARKETS
- Stochastic integral representations, stochastic derivatives and minimal variance hedging
- Variance-Optimal Hedging in General Affine Stochastic Volatility Models
- Infinite divisibility of the hyperbolic and generalized inverse Gaussian distributions
- Explicit Representation of the Minimal Variance Portfolio in Markets Driven by Levy Processes
- Financial Modelling with Jump Processes
- Variance-Optimal Hedging in Discrete Time
- On the minimal martingale measure and the möllmer-schweizer decomposition
- A Non‐Gaussian Ornstein–Uhlenbeck Process for Electricity Spot Price Modeling and Derivatives Pricing
- White noise generalizations of the Clark-Haussmann-Ocone theorem with application to mathematical finance
- Backward stochastic differential equations and Feynman-Kac formula for Lévy processes, with applications in finance
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