On the calibration of fractional two-factor stochastic volatility model with non-Lipschitz diffusions
From MaRDI portal
Publication:5055127
DOI10.1080/03610918.2020.1801730OpenAlexW3048340759MaRDI QIDQ5055127
Farshid Mehrdoust, Somayeh Fallah
Publication date: 13 December 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2020.1801730
Numerical methods (including Monte Carlo methods) (91G60) Actuarial science and mathematical finance (91Gxx)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- An approximate approach to fractional stochastic integration and its applications
- Affine fractional stochastic volatility models
- Estimation and pricing under long-memory stochastic volatility
- Semimartingale approximation of fractional Brownian motion and its applications
- Integration with respect to fractal functions and stochastic calculus. I
- Stochastic calculus with respect to fractional Brownian motion with Hurst parameter lesser than 1/2
- Mixed fractional Heston model and the pricing of American options
- On the existence and uniqueness of the solution to the double Heston model equation and valuing lookback option
- Tolerance to arbitrage
- Stochastic calculus for finance. II: Continuous-time models.
- Modeling and pricing long memory in stock market volatility
- Stochastic viability and comparison theorems for mixed stochastic differential equations
- An approximate approach to fractional analysis for finance
- Fractional integrated GARCH diffusion limit models
- A closed-form approximation for the fractional Black-Scholes model with transaction costs
- Long memory in continuous-time stochastic volatility models
- ON THE HESTON MODEL WITH STOCHASTIC CORRELATION
- The Heston Model and Its Extensions in Matlab and C#
- A Theory of the Term Structure of Interest Rates
- On the Heston Model with Stochastic Interest Rates
- The Shape and Term Structure of the Index Option Smirk: Why Multifactor Stochastic Volatility Models Work So Well
- Time Dependent Heston Model
- Arbitrage with Fractional Brownian Motion
- Transform Analysis and Asset Pricing for Affine Jump-diffusions
- Financial Markets with Memory I: Dynamic Models
- The Dynamic Correlation Model and Its Application to the Heston Model
- American option pricing under double Heston stochastic volatility model: simulation and strong convergence analysis
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Continuous Time Wishart Process for Stochastic Risk
- Fractional Brownian Motions, Fractional Noises and Applications
- Option pricing under fast‐varying long‐memory stochastic volatility
- Note on the inversion theorem
- Stochastic differential equations. An introduction with applications.
This page was built for publication: On the calibration of fractional two-factor stochastic volatility model with non-Lipschitz diffusions