Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30482
Title: Optimal execution for a risk-averse trader
Authors: Hesse, Adam Nii Armah
Advisors: Boguslavskaya, E
Date, P
Keywords: algorithmic trading;quantitative finance;stochastic control;high-frequency trading;limit order book
Issue Date: 2024
Publisher: Brunel University London
Abstract: We 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.
Description: This thesis was submitted for the award of Master of Philosophy and was awarded by Brunel University London
URI: https://bura.brunel.ac.uk/handle/2438/30482
Appears in Collections:Dept of Mathematics Theses
Mathematical Sciences

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