Publisher: Apress , This specific ISBN edition is currently not available. View all copies of this ISBN edition:. Synopsis About this title Written in plain English and based on successful client engagements, Data Modeling of Financial Derivatives: A Conceptual Approach introduces new and veteran data modelers, financial analysts, and IT professionals to the fascinating world of financial derivatives.
About the Author : Robert Mamayev has over 15 years of experience in applying information technology to solve business problems. Buy New Learn more about this copy. About AbeBooks. Other Popular Editions of the Same Title. Search for all books with this author and title. Customers who bought this item also bought. Stock Image.
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Data Modeling of Financial Derivatives -which presumes no advanced knowledge of derivatives or data modeling-will help you: Learn the best entity-relationship modeling method out there-Barker's CASE methodology-and its application in the financial industry Understand how to identify and creatively reuse data modeling patterns Gain an understanding of financial derivatives and their various applications Learn how to model derivatives contracts and understand the reasoning behind certain design decisions Resolve derivatives data modeling complexities parsimoniously so that your clients can understand them intuitively Packed with numerous examples, diagrams, and techniques, this book will enable you to recognize the various design patterns that you are most likely to encounter in your professional career and apply them successfully in practice.
Anyone working with financial models will find it an invaluable tool and career booster. In Stock. Rebel Ideas Power of Diverse Thinking. Women Kind. The been ad could back send mistyped but may edit good nearly in the social-security.
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Data Modeling of Financial Derivatives: A Conceptual Approach
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Data Modeling of Financial Derivatives
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