---
title: Intelligent Forecasts in Portfolio Optimization
url: https://www.ml-quant.com/papers/ssrn/4994190/
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: SSRN 4994190
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4994190
featured: 2024-10-23
citations: unknown
topic: Portfolio & Allocation
---


# Intelligent Forecasts in Portfolio Optimization

The study proposes an optimization framework for the top 500 U.S. stocks, emphasizing the use of characteristic information for stable weights and consistent outperformance.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4994190
- Identifier: SSRN 4994190
- Released: 2023-03-21
- First featured: Quant Letter No. 71 (2024-10-23): https://www.ml-quant.com/issues/2024-10-23/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Portfolio & Allocation

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