Nonlinear and Stochastic Dynamical Systems Modeling Price DynamicsAspects of Financial Economics in Oil Markets
Nonlinear and Stochastic Dynamical Systems Modeling Price Dynamics
Aspects of Financial Economics in Oil Markets
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DissertationDate of Exam
28.01.2008Date of Publication
2008Advisor
Sandmann, KlausCo-Referee
Riedel, FrankMetadata
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Abstract
In many economic and financial processes mathematical modeling leads to nonlinear and stochastic dynamical systems. The interplay of stochastic and nonlinear effects is important under many aspects. Whereas the dynamic behavior of deterministic dynamical system may be characterized by the attractors of its trajectories, stochastic “perturbations” will lead to a even more complex behavior e.g. to transitions, even to jumps between attractors like equilibria. This thesis has as main aims: analyzing the effects of nonlinearities and stochasticity on price dynamics of assets, in general, modeling the price dynamics of oil, as a special commodity and determining option prices and optimal hedging strategies for commodities like oil.
Subjects
Nichtlineare Preisdynamik, Parameter-Schätzung, Ölpreismodellierung
Classification (DDC)
330 WirtschaftJäger, Simon: Nonlinear and Stochastic Dynamical Systems Modeling Price Dynamics : Aspects of Financial Economics in Oil Markets. - Bonn, 2008. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5-13495
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5-13495
@phdthesis{handle:20.500.11811/3313,
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5-13495,
author = {{Simon Jäger}},
title = {Nonlinear and Stochastic Dynamical Systems Modeling Price Dynamics : Aspects of Financial Economics in Oil Markets},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2008,
note = {In many economic and financial processes mathematical modeling leads to nonlinear and stochastic dynamical systems. The interplay of stochastic and nonlinear effects is important under many aspects. Whereas the dynamic behavior of deterministic dynamical system may be characterized by the attractors of its trajectories, stochastic “perturbations” will lead to a even more complex behavior e.g. to transitions, even to jumps between attractors like equilibria. This thesis has as main aims: analyzing the effects of nonlinearities and stochasticity on price dynamics of assets, in general, modeling the price dynamics of oil, as a special commodity and determining option prices and optimal hedging strategies for commodities like oil.},
url = {https://hdl.handle.net/20.500.11811/3313}
}
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5-13495,
author = {{Simon Jäger}},
title = {Nonlinear and Stochastic Dynamical Systems Modeling Price Dynamics : Aspects of Financial Economics in Oil Markets},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2008,
note = {In many economic and financial processes mathematical modeling leads to nonlinear and stochastic dynamical systems. The interplay of stochastic and nonlinear effects is important under many aspects. Whereas the dynamic behavior of deterministic dynamical system may be characterized by the attractors of its trajectories, stochastic “perturbations” will lead to a even more complex behavior e.g. to transitions, even to jumps between attractors like equilibria. This thesis has as main aims: analyzing the effects of nonlinearities and stochasticity on price dynamics of assets, in general, modeling the price dynamics of oil, as a special commodity and determining option prices and optimal hedging strategies for commodities like oil.},
url = {https://hdl.handle.net/20.500.11811/3313}
}
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