Go back

Stress Testing And Scenario Analysis The Key Challenges Of Operational Risk Management(1st Edition)

Authors:

Milan Rippel ,Petr Teply

Free stress testing and scenario analysis the key challenges of operational risk management 1st edition milan
13 ratings
Cover Type:Hardcover
Condition:Used

In Stock

Include with your book

Free shipping: April 04, 2024
Access to 3 Million+ solutions Free
Ask 10 Questions from expert 200,000+ Expert answers
7 days-trial

Total Price:

$0

List Price: $63.08 Savings: $63.08(100%)

Book details

ISBN: 3639234200, 978-3639234206

Book publisher: VDM Verlag Dr. Muller

Get your hands on the best-selling book Stress Testing And Scenario Analysis The Key Challenges Of Operational Risk Management 1st Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.

Stress Testing And Scenario Analysis The Key Challenges Of Operational Risk Management 1st Edition Summary: Operational risk has become one of the most popular topics in recent years among both academics and practitioners in the financial industry. The huge operational risk failures that materialized during the recent crisis, such as the $65 billion Ponzi scheme by Mr. Bernard Madoff and the $8 billion bank fraud of Sir Allen Stanford, highlight the need for improved risk management. This book focuses on operational risk management and economic capital estimation methods from both theoretical and practical views. A data sample of operational losses provided by a Central European bank is analyzed using several approaches such as loss distribution approach, extreme value theory, scenario analysis and stress testing. We examine the most appropriate statistical method to measure and model operational loss data distribution. In conclusion, we found out that i) the g&h distribution is the most suitable method for operational risk events modeling and ii) the method based on the combination of historical loss events modeling and scenario analysis provides reasonable capital estimates when measuring the impact of very extreme events on bank operations.