---
title: Self-Supervised Learning for Diversifying Portfolios
url: https://www.ml-quant.com/papers/ssrn/4504962/
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 4504962
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4504962
featured: 2023-07-12
citations: unknown
topic: Portfolio & Allocation
---


# Self-Supervised Learning for Diversifying Portfolios

The article discusses the use of self-supervised learning to analyze financial time series data for portfolio diversification, specifically for index tracking and minimum variance portfolio optimization.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4504962
- Identifier: SSRN 4504962
- Released: 2022-08-15
- First featured: Quant Letter No. 7 (2023-07-12): https://www.ml-quant.com/issues/2023-07-12/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Portfolio & Allocation

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