---
title: ERM Impact on Performance
url: https://www.ml-quant.com/papers/repec/pal-palcom-v-11-y-2024-i-1-d-10-1057-s41599-024-03871-z/
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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03871-z
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1057%2Fs41599-024-03871-z%3Bh%3Drepec%3Apal%3Apalcom%3Av%3A11%3Ay%3A2024%3Ai%3A1%3Ad%3A10.1057_s41599-024-03871-z
featured: 2024-10-17
citations: unknown
topic: Risk, Credit & Banking
---


# ERM Impact on Performance

A study finds that Turkish banking firms adopting enterprise risk management see improved performance and value, and reduced risks, suggesting the use of a partial least squares regression model for predictions.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1057%2Fs41599-024-03871-z%3Bh%3Drepec%3Apal%3Apalcom%3Av%3A11%3Ay%3A2024%3Ai%3A1%3Ad%3A10.1057_s41599-024-03871-z
- Identifier: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03871-z
- Released: 2024-10-17
- First featured: Quant Letter No. 70 (2024-10-17): https://www.ml-quant.com/issues/2024-10-17/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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