Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30482
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dc.contributor.advisorBoguslavskaya, E-
dc.contributor.advisorDate, P-
dc.contributor.authorHesse, Adam Nii Armah-
dc.date.accessioned2025-01-15T17:32:09Z-
dc.date.available2025-01-15T17:32:09Z-
dc.date.issued2024-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/30482-
dc.descriptionThis thesis was submitted for the award of Master of Philosophy and was awarded by Brunel University Londonen_US
dc.description.abstractWe solve optimal stochastic control problems for a risk-averse trader who uses market orders and/or limit orders to liquidate a large position in a risky asset. In each case we aim to maximise terminal wealth, while managing the loss due to the price impact of our own trader’s trading activity. We solve the problems using various utility functions for the trader’s risk-aversion and penalty functions for the trader’s urgency to liquidate the position and reduce market risk. We compare and contrast the performance of the strategies, and compare them to industry benchmarks such as TWAP and VWAP.en_US
dc.description.sponsorshipEPSRCen_US
dc.publisherBrunel University Londonen_US
dc.relation.urihttps://bura.brunel.ac.uk/handle/2438/30482/1/FulltextThesis.pdf-
dc.subjectalgorithmic tradingen_US
dc.subjectquantitative financeen_US
dc.subjectstochastic controlen_US
dc.subjecthigh-frequency tradingen_US
dc.subjectlimit order booken_US
dc.titleOptimal execution for a risk-averse traderen_US
dc.typeThesisen_US
Appears in Collections:Dept of Mathematics Theses
Mathematical Sciences

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