Stochastic modelling and optimization with applications to actuarial models

Tools

Li, Mengdi (2012) Stochastic modelling and optimization with applications to actuarial models. PhD thesis, University of Nottingham.

[img]
Preview
 PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

This thesis is devoted to Ruin Theory which sometimes referred to the collective ruin theory. In Actuarial Science, one of the most important problems is to determine the finite time or infinite time ruin probability of the risk process in an insurance company.

To treat a realistic economic situation, the random interest factor should be taken into account. We first define the model with the interest rate and approximate the ruin probability for the model by the Brownian motion and develop several numerical methods to evaluate the ruin probability.

Then we construct several models which incorporate possible investment strategies. We estimate the parameters from the simulated data. Then we find the optimal investment strategy with a given upper bound on the ruin probability.

Finally we study the ruin probability for our class of models with the Heavy- Tailed claim size distribution.

Item Type: Thesis (University of Nottingham only) (PhD)
Supervisors: Utev, S.
Subjects: Q Science > QA Mathematics > QA273 Probabilities
Faculties/Schools: UK Campuses > Faculty of Science > School of Mathematical Sciences
Item ID: 12702
Depositing User: EP, Services
Date Deposited: 04 Oct 2012 16:05
Last Modified: 14 Oct 2017 16:24
URI: https://eprints.nottingham.ac.uk/id/eprint/12702

Actions (Archive Staff Only)

Edit View Edit View