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Application of Machine Learning to Financial Time Series Analysis

Sewell, MV; (2017) Application of Machine Learning to Financial Time Series Analysis. Doctoral thesis, UCL (University College London). Green open access

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Abstract

This multidisciplinary thesis investigates the application of machine learning to financial time series analysis. The research is motivated by the following thesis question: ‘Can one improve upon the state of the art in financial time series analysis through the application of machine learning?’ The work is split according to the following time series trichotomy: 1) characterization — determine the fundamental properties of the time series; 2) modelling — find a description that accurately captures features of the long-term behaviour of the system; and 3) forecasting — accurately predict the short-term evolution of the system.

Type: Thesis (Doctoral)
Title: Application of Machine Learning to Financial Time Series Analysis
Open access status: An open access version is available from UCL Discovery
Language: English
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/1551670
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