---
title: Analytical Shortcuts to Portfolio Optimization
url: https://www.ml-quant.com/papers/repec/gam-jmathe-v-12-y-2024-i-24-p-3946-d-1544301/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:gam:jmathe:v:12:y:2024:i:24:p:3946-:d:1544301
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F2227-7390%2F12%2F24%2F3946%2Fpdf%3Bh%3Drepec%3Agam%3Ajmathe%3Av%3A12%3Ay%3A2024%3Ai%3A24%3Ap%3A3946-%3Ad%3A1544301
featured: 2025-01-08
citations: unknown
topic: Portfolio & Allocation
---


# Analytical Shortcuts to Portfolio Optimization

The research expands on methods for nonnegative constraints in portfolio optimization, confirming the presence of both positive and negative elements in optimal solution sets.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F2227-7390%2F12%2F24%2F3946%2Fpdf%3Bh%3Drepec%3Agam%3Ajmathe%3Av%3A12%3Ay%3A2024%3Ai%3A24%3Ap%3A3946-%3Ad%3A1544301
- Identifier: RePEc:gam:jmathe:v:12:y:2024:i:24:p:3946-:d:1544301
- Released: 2024-04-10
- First featured: Quant Letter No. 81 (2025-01-08): https://www.ml-quant.com/issues/2025-01-08/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Portfolio & Allocation

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