Market Data Explained: A Practical Guide to Global Capital Markets Information.

Marc Alvarez

ISBN 10: 0080973949 / ISBN 13: 9780080973944

Published by Butterworth-Heinemann, 2014

About this Item

134 pages. 9.21x6.50x0.31 inches. In Stock.

Seller Inventory # zk0080973949

Bibliographic Details

• Title: Market Data Explained: A Practical Guide to Global Capital Markets Information.
• Publisher: Butterworth-Heinemann
• Publication Date: 2014
• Language: English
• ISBN 10: 0080973949
• ISBN 13: 9780080973944
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

This book is intended to provide a guide to the universe of data content produced by the global capital markets on a daily basis. Commonly referred to as "market data", the universe of content is very wide and the type of information correspondingly diverse. Jargon and acronyms are very common. As a result, users of marker data typically face difficulty in applying the content in analysis and business applications. This guide provides an independent framework for understanding this diversity and streamlining the process of referring to content and how it relates to today's business environment. The book achieves this goal by providing a consistent frame of reference for users of market data. As such, it is built around the concept of a data model - a single, coherent view of the capital markets independent of any one source, such as an exchange. In particular it delineates clearly between the actual data content and how it is delivered (i. e. realtime data streams versus reference data). It shows how the data relates across the universe of securities (i. e. stocks, bonds, derivatives etc). In this way it provides a logical framework for understanding how new content can be added over time as the business develops. Special features: 1. Uniqueness - this is the first comprehensive catalog and taxonomy to be made available for a business audience 2. Industry Acceptance - the framework described in this book is implemented as a relational data model in the industry today and used by blue chip multinational firms 3. Comprehensiveness - there are no arbitrary distinctions made based on asset class or data type (the legacy approach). The model presented in this book is fully cross asset and makes no distinction between data types (i. e. realtime versus historical/reference data) or sources 4. Independence - the framework is an independent, objective ov

Book Description

The first practical guide to the universe of data content produced by the global capital markets on a daily basis