Transaction cost optimization for online portfolio selection

To improve existing online portfolio selection strategies in the case of non-zero transaction costs, we propose a novel framework named Transaction Cost Optimization (TCO). The TCO framework incorporates the L1 norm of the difference between two consecutive allocations together with the principles o...

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Main Authors: LI, Bin, WANG, Jialei, HUANG, Dingjiang, HOI, Steven C. H.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/3777
https://ink.library.smu.edu.sg/context/sis_research/article/4779/viewcontent/Transaction_cost_optimization_for_online_portfolio_selection.pdf
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spelling sg-smu-ink.sis_research-47792018-11-29T08:34:37Z Transaction cost optimization for online portfolio selection LI, Bin WANG, Jialei HUANG, Dingjiang HOI, Steven C. H. To improve existing online portfolio selection strategies in the case of non-zero transaction costs, we propose a novel framework named Transaction Cost Optimization (TCO). The TCO framework incorporates the L1 norm of the difference between two consecutive allocations together with the principles of maximizing expected log return. We further solve the formulation via convex optimization, and obtain two closed-form portfolio update formulas, which follow the same principle as Proportional Portfolio Rebalancing (PPR) in industry. We empirically evaluate the proposed framework using four commonly used data-sets. Although these data-sets do not consider delisted firms and are thus subject to survival bias, empirical evaluations show that the proposed TCO framework may effectively handle reasonable transaction costs and improve existing strategies in the case of non-zero transaction costs. 2018-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3777 info:doi/10.1080/14697688.2017.1357831 https://ink.library.smu.edu.sg/context/sis_research/article/4779/viewcontent/Transaction_cost_optimization_for_online_portfolio_selection.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Portfolio optimization Transaction costs Learning in financial models Investment strategy Databases and Information Systems Portfolio and Security Analysis
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Portfolio optimization
Transaction costs
Learning in financial models
Investment strategy
Databases and Information Systems
Portfolio and Security Analysis
spellingShingle Portfolio optimization
Transaction costs
Learning in financial models
Investment strategy
Databases and Information Systems
Portfolio and Security Analysis
LI, Bin
WANG, Jialei
HUANG, Dingjiang
HOI, Steven C. H.
Transaction cost optimization for online portfolio selection
description To improve existing online portfolio selection strategies in the case of non-zero transaction costs, we propose a novel framework named Transaction Cost Optimization (TCO). The TCO framework incorporates the L1 norm of the difference between two consecutive allocations together with the principles of maximizing expected log return. We further solve the formulation via convex optimization, and obtain two closed-form portfolio update formulas, which follow the same principle as Proportional Portfolio Rebalancing (PPR) in industry. We empirically evaluate the proposed framework using four commonly used data-sets. Although these data-sets do not consider delisted firms and are thus subject to survival bias, empirical evaluations show that the proposed TCO framework may effectively handle reasonable transaction costs and improve existing strategies in the case of non-zero transaction costs.
format text
author LI, Bin
WANG, Jialei
HUANG, Dingjiang
HOI, Steven C. H.
author_facet LI, Bin
WANG, Jialei
HUANG, Dingjiang
HOI, Steven C. H.
author_sort LI, Bin
title Transaction cost optimization for online portfolio selection
title_short Transaction cost optimization for online portfolio selection
title_full Transaction cost optimization for online portfolio selection
title_fullStr Transaction cost optimization for online portfolio selection
title_full_unstemmed Transaction cost optimization for online portfolio selection
title_sort transaction cost optimization for online portfolio selection
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/sis_research/3777
https://ink.library.smu.edu.sg/context/sis_research/article/4779/viewcontent/Transaction_cost_optimization_for_online_portfolio_selection.pdf
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