arXiv · 0811.1847
Stochastic integrals and conditional full support
Abstract
We present conditions that imply the conditional full support (CFS) property, introduced by Guasoni, R\'asonyi, and Schachermayer [Ann. Appl. Probab., 18 (2008), pp. 491--520], for processes Z := H + K \cdot W, where W is a Brownian motion, H is a continuous process, and processes H and K are either progressive or independent of W. Moreover, in the latter case under an additional assumption that K is of finite variation, we present conditions under which Z has CFS also when W is replaced with a general continuous process with CFS. As applications of these results, we show that several stochastic volatility models and the solutions of certain stochastic differential equations have CFS.
Explore related subjects
Keep this discovery
Mikko S. Pakkanen. 2008-11-12. Stochastic integrals and conditional full support. https://doi.org/10.1239/jap/1285335401
Cite the original work for its findings. Save a collection to share your selection of sources.