Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory and Applications 9781642953152

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Автор: Brown Iain
Название: Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory and Applications
ISBN: 9781642953152
Издательство: SAS Institute
Классификация:

Вероятность и статистика

ISBN-10: 1642953156
Обложка/Формат: Hardcover
Страницы: 174
Вес: 0.69 кг.
Дата издания: 03.07.2019
Язык: English
Размер: 280 x 216 x 11
Читательская аудитория: General (us: trade)
Подзаголовок: Theory and applications
Рейтинг:
Поставляется из: США
Описание: Combine complex concepts facing the financial sector with the software toolsets available to analysts.

The credit decisions you make are dependent on the data, models, and tools that you use to determine them. Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory and Applications combines both theoretical explanation and practical applications to define as well as demonstrate how you can build credit risk models using SAS Enterprise Miner and SAS/STAT and apply them into practice.

The ultimate goal of credit risk is to reduce losses through better and more reliable credit decisions that can be developed and deployed quickly. In this example-driven book, Dr. Brown breaks down the required modeling steps and details how this would be achieved through the implementation of SAS Enterprise Miner and SAS/STAT.

Users will solve real-world risk problems as well as comprehensively walk through model development while addressing key concepts in credit risk modeling. The book is aimed at credit risk analysts in retail banking, but its applications apply to risk modeling outside of the retail banking sphere. Those who would benefit from this book include credit risk analysts and managers alike, as well as analysts working in fraud, Basel compliancy, and marketing analytics. It is targeted for intermediate users with a specific business focus and some programming background is required.

Efficient and effective management of the entire credit risk model lifecycle process enables you to make better credit decisions. Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory and Applications demonstrates how practitioners can more accurately develop credit risk models as well as implement them in a timely fashion.

Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory and Applications, Brown Iain