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  • Search: subject:"covariance misspecification"
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Subject
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NIFTY 2 covariance misspecification 2 machine learning for portfolio 2 superior predictive ability 2 Artificial intelligence 1 Correlation 1 Forecasting model 1 Korrelation 1 Künstliche Intelligenz 1 Portfolio selection 1 Portfolio-Management 1 Prognoseverfahren 1
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Free 2
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Jain, Prayut 2 Jain, Shashi 2
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Risks 1 Risks : open access journal 1
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Can machine learning-based portfolios outperform traditional risk-based portfolios? The need to account for covariance misspecification
Jain, Prayut; Jain, Shashi - In: Risks 7 (2019) 3, pp. 1-27
first study the impact of covariance misspecification on the performance of the different allocation methods. Next, we study …. Minimum variance and maximum diversification are most sensitive to covariance misspecification. HRP follows the middle ground …; it is less sensitive to covariance misspecification when compared with minimum variance or maximum diversification …
Persistent link: https://www.econbiz.de/10013200492
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Cover Image
Can machine learning-based portfolios outperform traditional risk-based portfolios? : the need to account for covariance misspecification
Jain, Prayut; Jain, Shashi - In: Risks : open access journal 7 (2019) 3/74, pp. 1-27
first study the impact of covariance misspecification on the performance of the different allocation methods. Next, we study …. Minimum variance and maximum diversification are most sensitive to covariance misspecification. HRP follows the middle ground …; it is less sensitive to covariance misspecification when compared with minimum variance or maximum diversification …
Persistent link: https://www.econbiz.de/10012127594
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