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Risk properties and parameter estimation on mean reversion and Garch models

Most of the notations and terminological conventions used in this thesis are Statistical.
The aim in risk management is to describe the risk factors present in time series. In order
to group these risk factors, one needs to distinguish between different stochastic
processes and put them into different classes. The risk factors discussed in this thesis are
fat tails and mean reversion. The presence of these risk factors fist need to be found in the
historical dataset. I will refer to the historical dataset as the original dataset. The Ljung-
Box-Pierce test will be used in this thesis to determine if the distribution of the original
dataset has mean reversion or no mean reversion. / Mathematical Sciences / M.Sc. (Applied Mathematics)

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:umkn-dsp01.int.unisa.ac.za:10500/4049
Date09 1900
CreatorsSypkens, Roelf
ContributorsRapoo, E.M. (Dr.)
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeDissertation
Format1 online resource (viii, 102 leaves)

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