With the Deadlines for Basel II Rapidly Approaching - Your Firm Must Implement the AMA by January 2008 - the Advanced Measurement Approach to Operational Risk.DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c37672) has announced the addition of The Advanced Measurement Approach to Operational Risk to their offering. With the deadlines for Basel II Basel II is the second of the Basel Accords, which are recommendations on banking laws and regulations issued by the Basel Committee on Banking Supervision. The purpose of Basel II is to create an international standard that banking regulators can use when creating regulations rapidly approaching - your firm must implement the AMA (Automatic Message Accounting) The recording and reporting of telephone calls within a telephone system. It includes the calling and called parties and start and stop times of the call. by January 2008. To get your frameworks into place the author presents you with this state-of-the-art technical guide on how to model op risk with practical advice on how to set up an AMA programme that fully supports the modelling and quantification goals of your organisation. The book firmly focuses on practical solutions to modelling issues. Helps you set up a strong programme with quantification in mind, providing good quality information for modelling, in order to deliver the numbers you need for regulatory approval, and deliver value to your business lines. Presents many complex topics in a highly accessible manner. Five comprehensive sections succinctly guide you through the following key topics: --The AMA framework: Outlines a general approach to constructing an advanced measurement approach framework within your firm - the basis upon which any op risk model is built. It provides essential dos and don'ts as well as step-by step guidance on how best to achieve the goals of your op risk programme. It covers such crucial areas as data selection, granularity, correlation, and diversification. --Modelling basics: Gets you fluent in the fundamentals of operational risk modelling with discussion of general concepts and an analysis of the main mathematical models regularly used to analyse loss data. --Modelling challenges: Shows you how models can be adjusted to overcome limitations in the underlying data. It includes practical guidance on loss data capture, the effect of data gaps on parameter estimates, expected and unexpected loss calculations and the use of extreme value theory to help mitigate some of the data problems associated with operational risk modelling. Crucially these complex topics are presented in an accessible manner, with plenty of thorough explanation to help you digest and implement the content. --Alternative modelling approaches: This section gives you a general framework for thinking about qualitative elements and their role in modelling - including scenario analysis Scenario analysis The use of horizon analysis to project total returns under different reinvestment rates and future market yields. , key risk indicators, and how to overcome the challenges in the modelling of less tangible risks, such as technology risk. --Comparative views of implementation: To help you gain a broader understanding of how your colleagues around the world are implementing their op risk solutions - the final section contains an overview of an op risk framework at a US bank, plus implementation studies from Spain and Germany. The German study unveils the results of a major industry survey, outlining "real world" practices in financial services The examples and perspective in this article or section may not represent a worldwide view of the subject. Please [ improve this article] or discuss the issue on the talk page. firms, including the strengths and shortcomings A shortcoming is a character flaw. Shortcomings may also be:
About the Author: Ellen Davis is the editor of Operational Risk magazine and BaselAlert.com, based in London. Previously, she was an editor on Risk magazine, and the editor of Asia Risk magazine, based in Hong Kong Hong Kong (hŏng kŏng), Mandarin Xianggang, special administrative region of China, formerly a British crown colony (2005 est. pop. 6,899,000), land area 422 sq mi (1,092 sq km), adjacent to Guangdong prov. . She originally hails from New York City New York City: see New York, city. New York City City (pop., 2000: 8,008,278), southeastern New York, at the mouth of the Hudson River. The largest city in the U.S. , where she had a long freelance career during which her work appeared in Treasury & Risk Management, Global Finance, BusinessWeek, CFO See Chief Financial Officer. magazine, and a number of other financial publications. She holds a BA from Wellesley College and an MBA MBA abbr. Master of Business Administration Noun 1. MBA - a master's degree in business Master in Business, Master in Business Administration from New York University New York University, mainly in New York City; coeducational; chartered 1831, opened 1832 as the Univ. of the City of New York, renamed 1896. It comprises 13 schools and colleges, maintaining 4 main centers (including the Medical Center) in the city, as well as the . Sections are as follows: Section 1: The AMA Framework Section 2: Modelling Basics Section 3: Modelling Challenges Section 4: Alternative Modelling Approaches Section 5: Comparative Views of Implementation For more information visit http://www.researchandmarkets.com/reports/c37672 |
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