---
title: Model complexity and the performance of global versus regional models
url: https://www.ml-quant.com/papers/ssrn/5241880/
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 5241880
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5241880
featured: 2025-05-07
citations: 1
topic: Asset Pricing & Factors
---


# Model complexity and the performance of global versus regional models

Complex algorithms in global models outperform regional models in cross-sectional asset pricing, contradicting previous studies favoring regional methods.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5241880
- Identifier: SSRN 5241880
- Released: 2025-05-05
- First featured: Quant Letter No. 96 (2025-05-07): https://www.ml-quant.com/issues/2025-05-07/
- Citations (Semantic Scholar): 1
- Published in: not yet
- Topic: Asset Pricing & Factors

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