---
title: AIs Impact on Assets
url: https://www.ml-quant.com/papers/repec/bpj-evoice-v-21-y-2024-i-2-p-363-370-n-1010/
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: RePEc:bpj:evoice:v:21:y:2024:i:2:p:363-370:n:1010
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1515%2Fev-2024-0055%3Bh%3Drepec%3Abpj%3Aevoice%3Av%3A21%3Ay%3A2024%3Ai%3A2%3Ap%3A363-370%3An%3A1010
featured: 2025-01-23
citations: unknown
topic: Portfolio & Allocation
---


# AIs Impact on Assets

The article explores the benefits and risks of using artificial intelligence in asset management, including improved research and decision-making but potential biases.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1515%2Fev-2024-0055%3Bh%3Drepec%3Abpj%3Aevoice%3Av%3A21%3Ay%3A2024%3Ai%3A2%3Ap%3A363-370%3An%3A1010
- Identifier: RePEc:bpj:evoice:v:21:y:2024:i:2:p:363-370:n:1010
- Released: 2024-11-01
- First featured: Quant Letter No. 83 (2025-01-23): https://www.ml-quant.com/issues/2025-01-23/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Portfolio & Allocation

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