Rondanini

Financial Library

Anonymous shelf assessment

Understanding and Managing Model Risk

Shelf score 7.0 / 10

On Understanding and Managing Model Risk · Massimo Morini · John Wiley & Sons

Published 4 July 2026

A practical guide to model risk for quants, traders, and validators.

Overview

This book provides insights into the complexities of model risk within the context of risk management and quantitative methods. It is oriented toward professionals involved in pricing model governance and reserves, offering practical guidance tailored to the needs of quants, traders, and validators.

The author, Massimo Morini, aims to equip readers with the necessary tools and understanding to effectively manage model risk. The content is designed to address the challenges faced by risk managers in the financial sector, particularly in relation to quantitative analysis and model validation.

Overall, the book serves as a resource for those looking to deepen their knowledge of model risk and its implications in financial practices.

By area & interest

  • Target Audience

    The book is aimed at risk managers, quantitative analysts, and traders who require a solid understanding of model risk and its management.

  • Practical Guidance

    It offers practical insights into pricing model governance and the establishment of reserves, making it relevant for professionals in the finance industry.

  • Focus on Quantitative Methods

    The content is grounded in quantitative methods, appealing to those who work with complex financial models.

Basis of this assessment

This assessment is based on the catalogue description and the specified topics and audience.

Strengths

The book provides practical insights and guidance on managing model risk, making it a valuable resource for professionals in finance.

Limitations

The scope of the book may be limited to specific aspects of model risk, and further details on its content are not available.

Ideal reader

Ideal readers include risk managers, quants, and traders seeking to enhance their understanding of model risk and its governance.

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