Data Modeling of Financial Derivatives: A Conceptual Approach

Description

The book introduces IT professionals, in particular, to various financial and data modeling concepts that they may not have seen before, giving them greater proficiency in the financial language of derivatives—and greater ability to communicate with financial analysts without fear or hesitation. Such knowledge will be especially useful to those looking to pick up the necessary skills to become productive right away working in the financial sector. Financial analysts reading this book will come to grips with various data modeling concepts and therefore be in better position to explain the underlying business to their IT audience.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 industryUnderstand how to identify and creatively reuse data modeling patternsGain an understanding of financial derivatives and their various applicationsLearn how to model derivatives contracts and understand the reasoning behind certain design decisionsResolve derivatives data modeling complexities parsimoniously so that your clients can understand them intuitivelyPacked 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.What you’ll learnYou will learn how to:Recognize and identify financial derivativesReuse data modeling patterns and apply them to create something newData model simple and complex optionsData model SWAPSData model futures and forward contractsWho this book is forData modelers, financial analysts, IT professionals, and anyone with an interest in data modeling and business analysis.