Introduction

Robert Mamayev

Chapter Chapter 1 in Data Modeling of Financial Derivatives, 2013, pp 1-7 from Springer

Abstract: Abstract The purpose of this book is twofold. On one hand, it introduces readers to the fascinating world of financial derivatives from the data modeling perspective and explains various rules that govern the world of financial engineering. On the other hand, this book stresses the importance of data modeling patterns and points out how to recognize, apply, and reuse them. This book is not intended just for those with a background in finance but for anyone with an interest in data modeling and business analysis. Data modeling patterns and the various strategies discussed in this book are widely applicable elsewhere, and the lessons learned here can be applied to projects in many industries besides finance, such as pharmaceuticals.

Keywords: Data Model Patterns; Book Stresses; Computer Aided Software Engineering (CASE); Underlying Business Rules; Richard Barker (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4302-6590-0_1

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DOI: 10.1007/978-1-4302-6590-0_1

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