---
title: Enterprise Risk Management and Management Earnings Forecasts
url: https://www.ml-quant.com/papers/ssrn/4959367/
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 4959367
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4959367
featured: 2024-09-18
citations: 2
topic: Risk, Credit & Banking
---


# Enterprise Risk Management and Management Earnings Forecasts

The use of Enterprise Risk Management (ERM) enhances the likelihood and precision of management earnings forecasts by reducing fundamental volatility and improving managers' information assessment skills.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4959367
- Identifier: SSRN 4959367
- Released: 2024-07-27
- First featured: Quant Letter No. 66 (2024-09-18): https://www.ml-quant.com/issues/2024-09-18/
- Citations (Semantic Scholar): 2
- Published in: not yet
- Topic: Risk, Credit & Banking

## Related

- [Sovereign vs. Corporate Debt and Default: More Similar than You Think](https://www.ml-quant.com/papers/ssrn/4955265/): Despite their fundamental differences, high-yield corporate and emerging market sovereign bonds have displayed similar risk-return patterns, default rates, and haircuts over the past two decades.
- [Lapse-supported life insurance and adverse selection](https://www.ml-quant.com/papers/arxiv/2409.01843/): The article talks about how lapse-supported premiums can raise the costs of adverse selection in life insurance, especially when high-risk individuals keep their policies longer. It also proposes three ways to handle surplus from policy lapses.
- [The Interdependent Relationship between Interest and Non-Interest Income of Indian Banks: A Study of Diversification of Income, Risk, and Traditional vs. Non-Traditional Banking Activities](https://www.ml-quant.com/papers/ssrn/4972716/): Diversification and Risk: The article studies the transition of Indian banks from earning through interest to non-interest sources, and how this diversification affects risk in both traditional and non-traditional banking.
- [Improved Hardness Results for the Clearing Problem in Financial Networks with Credit Default Swaps](https://www.ml-quant.com/papers/arxiv/2409.18717/): The study investigates computational issues in banking networks, particularly in calculating clearing payments after financial shocks. It offers enhanced solutions, including two that are proven to be complete in the realm of real numbers.
- [Unlocking The Potential: Enhancing Insurtech Innovation and Efficiency with a Data Analytics Approach](https://www.ml-quant.com/papers/ssrn/4938167/): The article highlights how data analytics and digitalization are fostering innovation in the insurance sector, based on a study involving 230 customers and various secondary data sources.
- [A novel k-generation propagation model for cyber risk and its application to cyber insurance](https://www.ml-quant.com/papers/arxiv/2408.14151/): The research proposes a new model for calculating aggregate losses in cyber insurance pricing, considering the origin contagion location and varying security levels in a network.