Convergence in Multiscale Financial Models with Non-Gaussian Stochastic Volatility
We consider stochastic control systems affected by a fast mean reverting volatility $Y(t)$ driven by a pure jump L\'evy process. Motivated by a large literature on financial models, we assume that $Y(t)$ evolves at a faster time scale $\frac{t}{\varepsilon}$ than the assets, and we study the asymptotics as $\varepsilon\to 0$. This is a singular perturbation problem that we study mostly by PDE methods within the theory of viscosity solutions.
Year of publication: |
2014-05
|
---|---|
Authors: | Bardi, Martino ; Cesaroni, Annalisa ; Scotti, Andrea |
Institutions: | arXiv.org |
Saved in:
freely available
Saved in favorites
Similar items by person
-
New measure of multifractality and its application in finances
Grech, Dariusz, (2013)
-
Point process bridges and weak convergence of insider trading models
Umut \c{C}etin, (2012)
-
Modelling emergence of money from the barter trade: multiscaling edge effects
Stanis{\l}aw Dro\.zd\.z, (2013)
- More ...