Back to Search
Start Over
Stochastic integrals and conditional full support
- Source :
- Journal of Applied Probability 2010, Vol. 47, No. 3, 650-667
- Publication Year :
- 2008
-
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.<br />Comment: 19 pages, v3: almost entirely rewritten, new results
- Subjects :
- Mathematics - Probability
91B28, 60H05
Subjects
Details
- Database :
- arXiv
- Journal :
- Journal of Applied Probability 2010, Vol. 47, No. 3, 650-667
- Publication Type :
- Report
- Accession number :
- edsarx.0811.1847
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1239/jap/1285335401