Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/342639 
Authors: 
Year of Publication: 
2025
Citation: 
[Journal:] Theory and Decision [ISSN:] 1573-7187 [Volume:] 100 [Issue:] 4 [Publisher:] Springer US [Place:] New York [Year:] 2025 [Pages:] 977-992
Publisher: 
Springer US, New York
Abstract: 
In this article, we extend the application of cooperative game theory to solve the so-called low-risk puzzle. Specifically, we apply concepts that consider asset weights in the allocation of portfolio risk. These weights can take into account various asset characteristics (e.g., image, popularity of an asset, corporate social responsibility, innovative strength) that have not been previously considered in portfolio risk allocation using cooperative game theory. We demonstrate the application through a simulation study. Our results show that considering assets weights could deliver added value when solving the low-risk puzzle.
Subjects: 
Low-risk puzzle
Portfolio risk
Cooperative game theory
Weighted Shapley value
Proportional Shapley value
Haeringer value
Persistent Identifier of the first edition: 
Additional Information: 
C71;G10;G11
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version
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