A note on the existence of unique equivalent martingale measures in a Markovian setting
Tina Hviid Rydberg ()
Additional contact information
Tina Hviid Rydberg: University of Aarhus, Department of Theoretical Statistics, Ny Munkegade Bldg. 530, DK-8000 århus C, Denmark
Finance and Stochastics, 1997, vol. 1, issue 3, 257 pages
Abstract:
Simple sufficient conditions for the existence of a unique equivalent martingale measure are provided. Furthermore, these conditions give us a handle on situations where an equivalent martingale measure cannot exist. The existence of a unique equivalent martingale measure is of relevance to problems in mathematical finance. Two examples of models for which the question of existence was unresolved are studied. By means of our results existence of a unique equivalent measure up to an explosion time is proved.
Keywords: Explosion time; hyperbolic diffusion processes; normal inverse Gaussian diffusion processes; stochastic differential equations; unique solution in law (search for similar items in EconPapers)
JEL-codes: G13 (search for similar items in EconPapers)
Date: 1997
Note: received: May 1996; final version received: March 1997
References: Add references at CitEc
Citations: View citations in EconPapers (18)
Downloads: (external link)
http://link.springer.de/link/service/journals/00780/papers/7001003/70010251.pdf (application/pdf)
http://link.springer.de/link/service/journals/0078 ... 01003/70010251.ps.gz (application/postscript)
Access to the full text of the articles in this series is restricted
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:finsto:v:1:y:1997:i:3:p:251-257
Ordering information: This journal article can be ordered from
http://www.springer. ... ance/journal/780/PS2
Access Statistics for this article
Finance and Stochastics is currently edited by M. Schweizer
More articles in Finance and Stochastics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().