English

Structure Preserving Equivalent Martingale Measures for $\mathscr{H}$-SII Models

Probability 2017-10-09 v4

Abstract

In this article we relate the set of structure preserving equivalent martingale measures (M)(\mathcal{M}) for financial models driven by semimartingales with conditionally independent increments to a set of measurable and integrable functions (Y)(\mathscr{Y}). More precisely, we prove that (M)(\mathcal{M}\not = \emptyset) if, and only if, (Y)(\mathscr{Y}\not = \emptyset), and connect the sets (M)(\mathcal{M}) and (Y)(\mathscr{Y}) to the semimartingale characteristics of the driving process. As examples we consider integrated L\'evy models with independent stochastic factors and time-changed L\'evy models and derive mild conditions for (M)(\mathcal{M} \not = \emptyset).

Keywords

Cite

@article{arxiv.1606.02593,
  title  = {Structure Preserving Equivalent Martingale Measures for $\mathscr{H}$-SII Models},
  author = {David Criens},
  journal= {arXiv preprint arXiv:1606.02593},
  year   = {2017}
}

Comments

Forthcoming in the "Journal of Applied Probability"

R2 v1 2026-06-22T14:20:38.668Z