Publication: Portfolio Construction with Hierarchical Momentum
Date
Date
Date
2024
Journal Article
Published version
Abstract
Abstract
Abstract
This article presents a portfolio construction approach that combines the hierarchical clustering of a large asset universe with the stock price momentum. On one hand, investing in high-momentum stocks enhances returns by capturing the momentum premium. On the other hand, hierarchical clustering of a high-dimensional asset universe ensures sparse diversification, stabilizes the portfolio across economic regimes, and mitigates the problem of increased drawdowns typically present in momentum portfolios. Moreover, the proposed portfolio
Additional indexing
Creators (Authors)
Volume
Volume
Volume
50
Number
Number
Number
4
Page range/Item number
Page range/Item number
Page range/Item number
136
Page end
Page end
Page end
159
Item Type
Item Type
Item Type
Journal Article
In collections
Keywords
Economics and Econometrics, Finance, General Business, Management and Accounting, Accounting
Scope
Scope
Scope
Discipline-based scholarship (basic research)
Language
Language
Language
English
Publication date
Publication date
Publication date
2024-02
Date available
Date available
Date available
2024-02-06
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
0095-4918
Additional Information
Additional Information
Additional Information
Bereits als Working Paper in SSRN No. 4125072 erschienen: https://doi.org/10.2139/ssrn.4125072.
OA Status
OA Status
OA Status
Closed
Publisher DOI
Other Identification Number
Other Identification Number
Other Identification Number
merlin-id:24351
Related URLs
Related URLs
Related URLs
Closed
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Permanent URL
Files
Files
Files
Files available to download:1
ZORA_255337.pdfview file PDF|1Download2.39 MB
Content:Published Version
Language:eng
ZORA_255337.pdfview file PDF|1Download2.39 MB
Content:Published Version
Language:eng
Files
Files
Files
Files available to download:1
ZORA_255337.pdfview file PDF|1Download2.39 MB
Content:Published Version
Language:eng
ZORA_255337.pdfview file PDF|1Download2.39 MB
Content:Published Version
Language:eng
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