---
title: Empirical Asset Pricing Using Explainable Artificial Intelligence
url: https://www.ml-quant.com/papers/ssrn/4680571/
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 4680571
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4680571
featured: 2024-01-03
citations: 3
topic: Asset Pricing & Factors
---


# Empirical Asset Pricing Using Explainable Artificial Intelligence

The paper demonstrates the use of explainable artificial intelligence in empirical asset pricing, showing enhanced predictive power and investment performance when incorporating insights from explainable AI into model refinement.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4680571
- Identifier: SSRN 4680571
- Released: 2023-12-31
- First featured: Quant Letter No. 31 (2024-01-03): https://www.ml-quant.com/issues/2024-01-03/
- Citations (Semantic Scholar): 3
- Published in: not yet
- Topic: Asset Pricing & Factors

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