Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/12131
Title: Prospect theory-based portfolio optimisation: An empirical study and analysis using intelligent algorithms
Authors: Grishina, N
Lucas, CA
Date, P
Keywords: portfolio optimisation;behavioural nuance;prospect theory;index tracking;risk modelling
Issue Date: 2016
Publisher: Taylor & Francis (Routledge)
Citation: N. Grishina, C. A. Lucas & P. Date (2017) Prospect theory–based portfolio optimization: an empirical study and analysis using intelligent algorithms, Quantitative Finance, 17:3, 353-367, DOI: 10.1080/14697688.2016.1149611
URI: https://www.tandfonline.com/doi/full/10.1080/14697688.2016.1149611
https://bura.brunel.ac.uk/handle/2438/12131
DOI: https://doi.org/10.1080/14697688.2016.1149611
ISSN: 1469-7696
Appears in Collections:Dept of Mathematics Research Papers

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