---
title: Risk-Budgeted Mean-Variance Portfolios
url: https://www.ml-quant.com/papers/ssrn/7672259/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-11-06
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 7672259
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7672259
featured: 2026-11-06
citations: unknown
topic: Portfolio & Allocation
---


# Risk-Budgeted Mean-Variance Portfolios

A convex optimization method combines risk budgeting with expected returns, delivering higher average returns than risk parity with lower turnover and concentration than traditional mean-variance portfolios.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7672259
- Identifier: SSRN 7672259
- Released: 2026-11-03
- First featured: Quant Letter No. 138 (2026-11-06): https://www.ml-quant.com/issues/2026-11-06/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Portfolio & Allocation
- Authors: Raul Riva, Rodrigo Targino, Bernardo Freitas Paulo da Costa

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