Pairs trading with wavelet transform

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buir.contributor.authorYiğit, Taner
dc.citation.epage1154en_US
dc.citation.issueNumber7-8
dc.citation.spage1129
dc.citation.volumeNumber23
dc.contributor.authorEroğlu, Burak A.
dc.contributor.authorYener, H.
dc.contributor.authorYiğit, Taner
dc.date.accessioned2024-03-11T06:17:39Z
dc.date.available2024-03-11T06:17:39Z
dc.date.issued2023-07
dc.departmentDepartment of Economics
dc.description.abstractWe show that applying the wavelet transform to S&P 500 constituents' prices generates a substantial increase in the returns of the pairs-trading strategy. Pairs trading strategy is based on finding prices that move together, but if there is shared noise in the asset prices, the co-movement, on which one base the trades, might be caused by this common noise. We show that wavelet transform filters away the noise, leading to more profitable trades. The most notable change occurs in the parameter estimation stage, which forms the weights of the assets in the pairs portfolio. Without filtering, the parameters estimated in the training period lose relevance in the trading period. However, when prices are filtered from common noise, the parameters maintain relevance much longer and result in more profitable trades. Particularly, we show that more precise parameter estimation is reflected on a more stationary and conservative spread, meaning more mean reversion in opened pairs trades. We also show that wavelet filtering the prices reduces the downside risk of the trades considerably.
dc.identifier.doi10.1080/14697688.2023.2230249
dc.identifier.eissn1469-7696
dc.identifier.issn1469-7688
dc.identifier.urihttps://hdl.handle.net/11693/114468
dc.language.isoen_US
dc.relation.isversionofhttps://doi.org/10.1080/14697688.2023.2230249
dc.rightsCC BY 4.0 Deed (Attribution 4.0 International)
dc.rights.urihttps://creativecommons.org/licenses/by/2.0/
dc.source.titleQuantitative Finance
dc.subjectPairs trading
dc.subjectWavelet transform
dc.subjectMinimum distance method
dc.subjectCointegration method
dc.subjectStatistical arbitrage
dc.titlePairs trading with wavelet transform
dc.typeArticle
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