In this thesis, we study the representation of dynamic risk measures based
on backward stochastic differential equations (BSDEs) and ergodic-BSDEs,
and capital allocation. We consider the equations driven by the Brownian
motion and the compensated Poisson process. We obtain four results.
Firstly, we consider the representation of dynamic risk measures defined
under BSDE, with generators that have quadratic-exponential growth in the
control variables. Under this setting, the dynamic capital allocation of the
risk measure is obtained via the differentiability of BSDEs with jumps. In
this case, we introduce the Malliavin directional derivative that generalises
the classical Gˆateaux-derivative. Using the capital allocation results and the
full allocation property of the Aumann-Shapley, we obtain the representation
of the dynamic convex and coherent risk measures. The results are illustrated
for the dynamic entropic risk and static coherent risk measures.
Secondly, we consider the representation of dynamic convex risk measure
based on the ergodic-BSDEs in the diffusion framework. The maturityindependent
risk measure is defined as the first component to the solution of
a BSDE whose generator depends on the second component of the solution
to the ergodic-BSDE. Using the differentiability results of BSDEs, we determine
the capital allocation. Furthermore, we give an example in the form of
the forward entropic risk measure and the capital allocation.
Thirdly, we investigate the representation of capital allocation for dynamic
risk measures based on BSVIEs from Kromer and Overbeck 2017 and
extend it to risk measures based on BSVIEs with jumps. The extension of dynamic
risk measure based on BSVIEs with jumps is studied by Agram 2019.
In our case, we study capital allocation for dynamic risk measures based on
BSVIEs with jumps. In particular, we determine the capital allocation of
the dynamic risk measures based on BSVIEs with jumps.
Finally, we study the representation for a forward entropic risk measure
using ergodic BSDEs under the jump-diffusion framework. In this case, we
notice that when the ergodic BSDE includes jump term the forward entropic
risk measure does not satisfy the translation property. / Thesis (PhD (Mathematical Sciences))--University of Pretoria, 2021. / The University of Pretoria, Department of Mathematics and Applied Mathematics. / The University Capacity Development Programme National Collaborative Project (UCDP) South Africa. / Mathematics and Applied Mathematics / PhD (Mathematical Sciences) / Unrestricted
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:up/oai:repository.up.ac.za:2263/78343 |
| Date | January 2021 |
| Creators | Mabitsela, Lesedi |
| Contributors | Kufakunesu, Rodwell, mlesedi@gmail.com |
| Publisher | University of Pretoria |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Rights | © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
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