Data Modeling of Financial Derivatives: A Conceptual by Robert Mamayev

By Robert Mamayev

The ebook introduces IT execs, specifically, to numerous monetary and knowledge modeling thoughts that they might not have noticeable earlier than, giving them larger skillability within the monetary language of derivatives—and larger skill to speak with monetary analysts with no worry or hesitation. Such wisdom can be in particular priceless to these trying to choose up the required abilities to turn into efficient right now operating within the monetary area. monetary analysts examining this publication will come to grips with a variety of facts modeling suggestions and as a result be in higher place to provide an explanation for the underlying enterprise to their IT audience.
Data Modeling of economic Derivatives—which presumes no complicated wisdom of derivatives or facts modeling—will aid you:
Learn the easiest entity–relationship modeling approach out there—Barker’s CASE methodology—and its software within the monetary industry
Understand how you can establish and creatively reuse information modeling patterns
Gain an realizing of monetary derivatives and their a number of applications
Learn tips to version derivatives contracts and comprehend the reasoning in the back of yes layout decisions
Resolve derivatives facts modeling complexities parsimoniously in order that your consumers can comprehend them intuitively
Packed with various examples, diagrams, and strategies, this e-book will assist you to realize a number of the layout styles that you're probably to come across on your specialist profession and follow them effectively in perform. a person operating with monetary types will locate it a useful software and occupation booster.
What you’ll learn
You will find out how to:
Recognize and determine monetary derivatives
Reuse info modeling styles and practice them to create whatever new
Data version easy and complicated options
Data version SWAPS
Data version futures and ahead contracts
Who this booklet is for
Data modelers, monetary analysts, IT pros, and an individual with an curiosity in facts modeling and enterprise research.

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Financial contracts typically involve two assets. For example, if an investor promises a delivery of copper in exchange for a specific amount of cash, two asset types come into play: a copper asset type and a cash asset type. This brings us to an interesting point: a financial contract can be viewed as a mechanism that transforms, upon completion of delivery, one asset into another. In the copper-for-cash example, one asset (cash) is transformed on completion of the delivery into another (copper).

Don’t make this mistake by not allocating the proper amount of time to developing and fine-tuning the resulting data model. In the long run, you will be greatly rewarded. The Conceptual Models Used in This Book The data models provided in this book are conceptual-level data models, with all of the supertype and subtype entities left intact. This approach ensures that physical-level designs are responsive to stakeholder-approved business requirements. The identification of business keys, alternate keys, primary keys, and subtype/supertype transformations are all very dependent on the end user business rules.

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