Completion of an incomplete market by quadratic variation assets.

It is well known that the general geometric L´evy market models are incomplete, except for the geometric Brownian and the geometric Poissonian, but such a market can be completed by enlarging it with power-jump assets as Corcuera and Nualart [12] did on their paper. With the knowledge that an incomp...

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Main Author: Mgobhozi, S. W.
Other Authors: Mataramvura, Sure.
Language:en_ZA
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10413/10663
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-ukzn-oai-http---researchspace.ukzn.ac.za-10413-106632014-05-09T09:47:20ZCompletion of an incomplete market by quadratic variation assets.Mgobhozi, S. W.Financial risk management.Stochastic analysis.Stochastic processes.Theses--Statistics and actuarial science.It is well known that the general geometric L´evy market models are incomplete, except for the geometric Brownian and the geometric Poissonian, but such a market can be completed by enlarging it with power-jump assets as Corcuera and Nualart [12] did on their paper. With the knowledge that an incomplete market due to jumps can be completed, we look at other cases of incompleteness. We will consider incompleteness due to more sources of randomness than tradable assets, transactions costs and stochastic volatility. We will show that such markets are incomplete and propose a way to complete them. By doing this we show that such markets can be completed. In the case of incompleteness due to more randomness than tradable assets, we will enlarge the market using the market’s underlying quadratic variation assets. By doing this we show that the market can be completed. Looking at a market paying transactional costs, which is also an incomplete market model due to indifference between the buyers and sellers price, we will show that a market paying transactional costs as the one given by, Cvitanic and Karatzas [13] can be completed. Empirical findings have shown that the Black and Scholes assumption of constant volatility is inaccurate (see Tompkins [40] for empirical evidence). Volatility is in some sense stochastic, and is divided into two broad classes. The first class being single-factor models, which have only one source of randomness, and are complete markets models. The other class being the multi-factor models in which other random elements are introduced, hence are an incomplete markets models. In this project we look at some commonly used multi-factor models and attempt to complete one of them.Thesis (M.Sc.)-University of KwaZulu-Natal, Durban, 2011.Mataramvura, Sure.2014-05-06T14:49:08Z2014-05-06T14:49:08Z20112011Thesishttp://hdl.handle.net/10413/10663en_ZA
collection NDLTD
language en_ZA
sources NDLTD
topic Financial risk management.
Stochastic analysis.
Stochastic processes.
Theses--Statistics and actuarial science.
spellingShingle Financial risk management.
Stochastic analysis.
Stochastic processes.
Theses--Statistics and actuarial science.
Mgobhozi, S. W.
Completion of an incomplete market by quadratic variation assets.
description It is well known that the general geometric L´evy market models are incomplete, except for the geometric Brownian and the geometric Poissonian, but such a market can be completed by enlarging it with power-jump assets as Corcuera and Nualart [12] did on their paper. With the knowledge that an incomplete market due to jumps can be completed, we look at other cases of incompleteness. We will consider incompleteness due to more sources of randomness than tradable assets, transactions costs and stochastic volatility. We will show that such markets are incomplete and propose a way to complete them. By doing this we show that such markets can be completed. In the case of incompleteness due to more randomness than tradable assets, we will enlarge the market using the market’s underlying quadratic variation assets. By doing this we show that the market can be completed. Looking at a market paying transactional costs, which is also an incomplete market model due to indifference between the buyers and sellers price, we will show that a market paying transactional costs as the one given by, Cvitanic and Karatzas [13] can be completed. Empirical findings have shown that the Black and Scholes assumption of constant volatility is inaccurate (see Tompkins [40] for empirical evidence). Volatility is in some sense stochastic, and is divided into two broad classes. The first class being single-factor models, which have only one source of randomness, and are complete markets models. The other class being the multi-factor models in which other random elements are introduced, hence are an incomplete markets models. In this project we look at some commonly used multi-factor models and attempt to complete one of them. === Thesis (M.Sc.)-University of KwaZulu-Natal, Durban, 2011.
author2 Mataramvura, Sure.
author_facet Mataramvura, Sure.
Mgobhozi, S. W.
author Mgobhozi, S. W.
author_sort Mgobhozi, S. W.
title Completion of an incomplete market by quadratic variation assets.
title_short Completion of an incomplete market by quadratic variation assets.
title_full Completion of an incomplete market by quadratic variation assets.
title_fullStr Completion of an incomplete market by quadratic variation assets.
title_full_unstemmed Completion of an incomplete market by quadratic variation assets.
title_sort completion of an incomplete market by quadratic variation assets.
publishDate 2014
url http://hdl.handle.net/10413/10663
work_keys_str_mv AT mgobhozisw completionofanincompletemarketbyquadraticvariationassets
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