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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1842/4491
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| Title: | Modeling exotic options with maturity extensions by stochastic dynamic programming |
| Authors: | Tapeinos, Socratis |
| Supervisor(s): | Archibald, T. W. |
| Issue Date: | 2009 |
| Publisher: | The University of Edinburgh |
| Abstract: | The exotic options that are examined in this thesis have a combination of
non-standard characteristics which can be found in shout, multi-callable, pathdependent
and Bermudan options. These options are called reset options. A
reset option is an option which allows the holder to reset, one or more times,
certain terms of the contract based on pre-specified rules during the life of the
option.
Overall in this thesis, an attempt has been made to tackle the modeling
challenges that arise from the exotic properties of the reset option embedded
in segregated funds. Initially, the relevant literature was reviewed and the lack
of published work, advanced enough to deal with the complexities of the reset
option, was identified. Hence, there appears to be a clear and urgent need to
have more sophisticated approaches which will model the reset option.
The reset option on the maturity guarantee of segregated funds is
formulated as a non-stationary finite horizon Markov Decision Process.
The returns from the underlying asset are modeled using a discrete time
approximation of the lognormal model. An Optimal Exercise Boundary of
the reset option is derived where a threshold value is depicted such that if
the value of the underlying asset price exceeds it then it is optimal for the
policyholder to reset his maturity guarantee. Otherwise, it is optimal for the
policyholder to rollover his maturity guarantee. It is noteworthy that the model
is able to depict the Optimal Exercise Boundary of not just the first but of
all the segregated fund contracts which can be issued throughout the planning
horizon of the policyholder.
The main finding of the model is that as the segregated fund contract
approaches its maturity, the threshold value in the Optimal Exercise Boundary increases. However, in the last period before the maturity of the segregated
fund, the threshold value decreases. The reason for this is that if the reset
option is not exercised it will expire worthless.
The model is then extended to re
ect on the characteristics of the range of
products which are traded in the market. Firstly, the issuer of the segregated
fund contract is allowed to charge a management fee to the policyholder. The
effect from incorporating this fee is that the policyholder requires a higher
return in order to optimally reset his maturity guarantee while the total value of
the segregated fund is diminished. Secondly, the maturity guarantee becomes
a function of the number of times that the reset option has been exercised.
The effect is that the policyholder requires a higher return in order to choose
to reset his maturity guarantee while the total value of the segregated fund is
diminished. Thirdly, the policyholder is allowed to reset the maturity guarantee
at any point in time within each year from the start of the planning horizon,
but only once. The effect is that the total value of the segregated fund is
increased since the policyholder may lock in higher market gains as he has
more reset decision points.
In response to the well documented deficiencies of the lognormal model to
capture the jumps experienced by stock markets, extensions were built which
incorporate such jumps in the original model. The effect from incorporating
such jumps is that the policyholder requires a higher return in order to choose
to reset his maturity guarantee while the total value of the segregated fund is
diminished due to the adverse effect of the negative jumps on the value of the
underlying asset. |
| Sponsor(s): | Engineering and Physical Sciences Research Council (EPSRC) |
| Keywords: | exotic options Markov Decision Process MDP |
| URI: | http://hdl.handle.net/1842/4491 |
| Appears in Collections: | Business and Management thesis and dissertation collection
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