By taking the relevant expectations, the model yields a complete initial term structure for the continuum of maturities, endogenously interpolating between the observed data. Thus it is more parsimonious in its assumptions in the sense that there is no need for an exogenous interpolation rule and th
092061 (E50, M12) A tractable term structure model with endogenous interpolation and positive interest rates : Schlöegl E., Presented at the International Workshop on The Interplay between Insurance, Finance and Control, organized by the Mathematical Research Centre at Aarhus University, also supported by the Danish Science Research Council and the Centre for Analytical Finance
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 190 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0167-6687
No coin nor oath required. For personal study only.
✦ Synopsis
semi-martingale S the condition of No Free Lunch with
Vanishing Risk is equivalent to the existence of an equivalent local martingale measure for the process S. It was asked whether the local boundedness assumption on S may be dropped. In recent joint work with F. Delbaen, the authors have shown that if they drop in this theorem the local boundedness assumption on S the theorem true if they replace the term equivalent local martingale measure by the term equivalent sigma-martingale measure. The concept of sigma-martingales was introduced by Chou and Emery -under the name of "semimartingales de la classe (~m)''" The authors provide an example which shows that for the validity of the theorem in the non locally bounded case it is indeed necessary to pass to the concept of sigma-martingales. On the other hand, they also observe that for the applications in Mathematical Finance the notion of sigmamartingales provides a natural framework when working with non locally bounded processes S.
📜 SIMILAR VOLUMES
Yushkevich can also be applied to certain models where control of the flow is possible. The method consists in a transformation to a model without control of the flow by a kind of time change.
In this article, the authors discuss mixed exponential distributions and, more generally, scale mixtures with specific consideration the purpose of insurance modeling. Results are derived for equilibrium distributions (defined via stop-loss transforms) of mixed distributions. Some recursive relation
Yushkevich can also be applied to certain models where control of the flow is possible. The method consists in a transformation to a model without control of the flow by a kind of time change.