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Shifted Wishart Processes Portfolio Optimization

The Markov-Modulated Shifted Wishart (MMSW) process is utilized to capture covariance dynamics in a portfolio optimization problem, providing a flexible strategy that adapts to sudden market stress and maintains diversification benefits.

Featured in No. 100 on 4 Jun 2025 · 3 days after release

Released
1 Jun 2025
First featured
No. 100 · 4 Jun 2025
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 5277926

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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