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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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 |
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Finance and Financial Management Portfolio and Security Analysis Balvers, Ronald J. Wu, Yangru Optimal Transaction Filters under Transitory Trading Opportunities: Theory and Empirical Illustration |
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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 |
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Institutional Knowledge at Singapore Management University |
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2004 |
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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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