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Investigating Long-Term Short Pairing Strategies for Leveraged Exchange-Traded Funds Using Machine Learning Techniques.

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Title: Investigating Long-Term Short Pairing Strategies for Leveraged Exchange-Traded Funds Using Machine Learning Techniques.
Authors: Khadivar, Hamed khadivar.hamed@uqam.ca, Nikbakht, Elaheh elaheh.nikbakht@maples.com, Walker, Thomas thomas.walker@concordia.ca
Source: Journal of Investing. Feb2024, Vol. 33 Issue 2, p104-135. 32p.
Database: Business Source Ultimate
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  Data: Investigating Long-Term Short Pairing Strategies for Leveraged Exchange-Traded Funds Using Machine Learning Techniques.
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  Data: <searchLink fieldCode="AR" term="%22Khadivar%2C+Hamed%22">Khadivar, Hamed</searchLink><i> khadivar.hamed@uqam.ca</i><br /><searchLink fieldCode="AR" term="%22Nikbakht%2C+Elaheh%22">Nikbakht, Elaheh</searchLink><i> elaheh.nikbakht@maples.com</i><br /><searchLink fieldCode="AR" term="%22Walker%2C+Thomas%22">Walker, Thomas</searchLink><i> thomas.walker@concordia.ca</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Investing%22">Journal of Investing</searchLink>. Feb2024, Vol. 33 Issue 2, p104-135. 32p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3905/joi.2023.1.293
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      – Code: eng
        Text: English
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        PageCount: 32
        StartPage: 104
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      – TitleFull: Investigating Long-Term Short Pairing Strategies for Leveraged Exchange-Traded Funds Using Machine Learning Techniques.
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            NameFull: Khadivar, Hamed
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            NameFull: Nikbakht, Elaheh
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              Text: Feb2024
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              Y: 2024
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              Value: 33
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