---
title: APC Framework for Profit Modeling
url: https://www.ml-quant.com/papers/repec/gam-jmathe-v-12-y-2024-i-10-p-1427-d-1389720/
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:gam:jmathe:v:12:y:2024:i:10:p:1427-:d:1389720
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F2227-7390%2F12%2F10%2F1427%2Fpdf%3Bh%3Drepec%3Agam%3Ajmathe%3Av%3A12%3Ay%3A2024%3Ai%3A10%3Ap%3A1427-%3Ad%3A1389720
featured: 2024-05-15
citations: unknown
topic: Derivatives & Volatility
---


# APC Framework for Profit Modeling

Age–period–cohort models can enhance credit risk modeling across a company, improving underwriting and enabling profit and volatility predictions at the account level.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F2227-7390%2F12%2F10%2F1427%2Fpdf%3Bh%3Drepec%3Agam%3Ajmathe%3Av%3A12%3Ay%3A2024%3Ai%3A10%3Ap%3A1427-%3Ad%3A1389720
- Identifier: RePEc:gam:jmathe:v:12:y:2024:i:10:p:1427-:d:1389720
- Released: 2024-05-15
- First featured: Quant Letter No. 49 (2024-05-15): https://www.ml-quant.com/issues/2024-05-15/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Derivatives & Volatility

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