Optimal Transaction Filters under Transitory Trading Opportunities: Theory and Empirical Illustration

If transitory profitable trading opportunities exist, filter rules are used to mitigate transaction costs. We use a dynamic programming framework to design an optimal filter which maximizes after-cost expected returns. The filter size depends crucially on the degree of persistence of trading opportu...

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Main Authors: Balvers, Ronald J., Wu, Yangru
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Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research_smu/14
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1013&context=lkcsb_research_smu
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spelling sg-smu-ink.lkcsb_research_smu-10132018-07-10T06:08:44Z Optimal Transaction Filters under Transitory Trading Opportunities: Theory and Empirical Illustration Balvers, Ronald J. Wu, Yangru If transitory profitable trading opportunities exist, filter rules are used to mitigate transaction costs. We use a dynamic programming framework to design an optimal filter which maximizes after-cost expected returns. The filter size depends crucially on the degree of persistence of trading opportunities, transaction cost, and standard deviation of shocks. Applying our theory to daily dollar-yen exchange trading, we find that the optimal filter can be economically significantly different from a naive filter equal to the transaction cost. The candidate trading strategies generate positive returns that disappear after accounting for transaction costs. However, when the optimal filter is used, returns after costs remain positive and are higher than for naive filters. 2004-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research_smu/14 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1013&context=lkcsb_research_smu http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business (SMU Access Only) eng Institutional Knowledge at Singapore Management University Finance and Financial Management Portfolio and Security Analysis
institution Singapore Management University
building SMU Libraries
country Singapore
collection InK@SMU
language English
topic Finance and Financial Management
Portfolio and Security Analysis
spellingShingle Finance and Financial Management
Portfolio and Security Analysis
Balvers, Ronald J.
Wu, Yangru
Optimal Transaction Filters under Transitory Trading Opportunities: Theory and Empirical Illustration
description If transitory profitable trading opportunities exist, filter rules are used to mitigate transaction costs. We use a dynamic programming framework to design an optimal filter which maximizes after-cost expected returns. The filter size depends crucially on the degree of persistence of trading opportunities, transaction cost, and standard deviation of shocks. Applying our theory to daily dollar-yen exchange trading, we find that the optimal filter can be economically significantly different from a naive filter equal to the transaction cost. The candidate trading strategies generate positive returns that disappear after accounting for transaction costs. However, when the optimal filter is used, returns after costs remain positive and are higher than for naive filters.
format text
author Balvers, Ronald J.
Wu, Yangru
author_facet Balvers, Ronald J.
Wu, Yangru
author_sort Balvers, Ronald J.
title Optimal Transaction Filters under Transitory Trading Opportunities: Theory and Empirical Illustration
title_short Optimal Transaction Filters under Transitory Trading Opportunities: Theory and Empirical Illustration
title_full Optimal Transaction Filters under Transitory Trading Opportunities: Theory and Empirical Illustration
title_fullStr Optimal Transaction Filters under Transitory Trading Opportunities: Theory and Empirical Illustration
title_full_unstemmed Optimal Transaction Filters under Transitory Trading Opportunities: Theory and Empirical Illustration
title_sort optimal transaction filters under transitory trading opportunities: theory and empirical illustration
publisher Institutional Knowledge at Singapore Management University
publishDate 2004
url https://ink.library.smu.edu.sg/lkcsb_research_smu/14
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1013&context=lkcsb_research_smu
_version_ 1681132866050719744