Asymptotic expansion of the expected discounted penalty function in a two-scalestochastic volatility risk model.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Abstract [en]
In this Master thesis, we use a singular and regular perturbation theory to derive
an analytic approximation formula for the expected discounted penalty function.
Our model is an extension of Cramer–Lundberg extended classical model because
we consider a more general insurance risk model in which the compound Poisson
risk process is perturbed by a Brownian motion multiplied by a stochastic volatility
driven by two factors- which have mean reversion models. Moreover, unlike
the classical model, our model allows a ruin to be caused either by claims or by
surplus’ fluctuation.
We compute explicitly the first terms of the asymptotic expansion and we show
that they satisfy either an integro-differential equation or a Poisson equation. In
addition, we derive the existence and uniqueness conditions of the risk model with
two stochastic volatilities factors.
Place, publisher, year, edition, pages
2014.
Keywords [en]
risk model, asymptotic expansion, stochastic volatility, singular and regular perturbation theory
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:mdh:diva-26100OAI: oai:DiVA.org:mdh-26100DiVA, id: diva2:755257
Subject / course
Mathematics/Applied Mathematics
Presentation
2014-10-01, U3-104, 13:00 (English)
Supervisors
Examiners
2014-10-142014-10-142014-10-14Bibliographically approved