---
title: Financial Distress Prediction in Pakistan
url: https://www.ml-quant.com/papers/repec/eme-imefmp-imefm-10-2023-0404/
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:eme:imefmp:imefm-10-2023-0404
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FIMEFM-10-2023-0404%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Aimefmp%3Aimefm-10-2023-0404
featured: 2024-07-24
citations: unknown
topic: Econometrics & Forecasting
---


# Financial Distress Prediction in Pakistan

The study creates a predictive model for forecasting financial distress in Pakistani companies, finding financial ratio indices to be more effective than individual ratios.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FIMEFM-10-2023-0404%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Aimefmp%3Aimefm-10-2023-0404
- Identifier: RePEc:eme:imefmp:imefm-10-2023-0404
- Released: 2024-07-24
- First featured: Quant Letter No. 58 (2024-07-24): https://www.ml-quant.com/issues/2024-07-24/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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