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On limit order book modelling

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dc.contributor.advisor Mukeru, Safari
dc.contributor.author Motsehe, Fats Joel
dc.date.accessioned 2026-03-07T07:27:02Z
dc.date.available 2026-03-07T07:27:02Z
dc.date.issued 2025-08
dc.identifier.uri https://ir.unisa.ac.za/handle/10500/32253 en
dc.description Absract in English en
dc.description.abstract This study analyzes a model of a limit order book developed by Cont and de Larrard in 2013. This model has attracted a lot of attention because of its analytical tractability and has been extended in various directions. Some errors in the results of Cont and de Larrard have been pointed out in the literature. In this work, we have undertaken a thorough analysis of this model to fill out the gaps in the proofs of the results and ascertain that the results are free of errors. It is very common, in a study involving randomness, to construct a simulation model that mimics the system under study and verify if the output of the simulation model matches the theoretical results obtained. We have constructed a simulation model for the limit order book considered by Cont and de Larrard and some of its extensions and ensured that the simulation outputs are in agreement with the theoretical results. Finally, we have considered another possible extension of Cont and de Larrard’s model using the fractional Gaussian noise in order to model dependence between the orders that arrive at the market. en
dc.format.extent 1 online resource (Iii, 63 leaves) : illustration en
dc.language.iso en en
dc.subject Limit Order Book en
dc.subject Analytical Tractability en
dc.subject Extension en
dc.subject Queuing Model en
dc.subject Fractional Gaussian en
dc.subject Poisson Processes en
dc.subject Modeling en
dc.subject Simulation en
dc.subject UCTD
dc.subject.lcsh Limit order books en
dc.subject.lcsh Financial markets -- Mathematical models en
dc.subject.lcsh Securities -- Prices en
dc.subject.lcsh Stochastic processes en
dc.subject.lcsh Random noise theory en
dc.subject.lcsh Queuing theory en
dc.title On limit order book modelling en_US
dc.type Dissertation en_US
dc.description.department Decisions Sciences en
dc.description.degree MCom (Quantitative Management) en


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  • Unisa ETD [12946]
    Electronic versions of theses and dissertations submitted to Unisa since 2003

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