---
title: Conditional Correlation via Generalized Random Forests; Application to Hedge Funds
url: https://www.ml-quant.com/papers/ssrn/4813257/
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 4813257
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4813257
featured: 2024-05-01
citations: 0
topic: Derivatives & Volatility
---


# Conditional Correlation via Generalized Random Forests; Application to Hedge Funds

A novel method using decision trees offers a reliable estimator of the conditional correlation between financial assets, aiding in financial market analysis and understanding asset behavior in various market conditions.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4813257
- Identifier: SSRN 4813257
- Released: 2024-05-01
- First featured: Quant Letter No. 47 (2024-05-01): https://www.ml-quant.com/issues/2024-05-01/
- Citations (Semantic Scholar): 0
- Published in: not yet
- Topic: Derivatives & Volatility

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