Market Data Explained: A Practical Guide to Global Capital Markets Information - The Elsevier and Mondo Visione World Capital Markets (Hardback)
  • Market Data Explained: A Practical Guide to Global Capital Markets Information - The Elsevier and Mondo Visione World Capital Markets (Hardback)
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Market Data Explained: A Practical Guide to Global Capital Markets Information - The Elsevier and Mondo Visione World Capital Markets (Hardback)

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£52.99
Hardback 136 Pages / Published: 02/10/2006
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Market Data Explained 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 overview of how the data content integrates to provide a coherent view of the data produced by the global capital markets on a daily and intra-day basis. It provides a logical framework for referring to the content and entities that are so intrinsic to this industry

Publisher: Elsevier Science & Technology
ISBN: 9780750680554
Number of pages: 136
Weight: 370 g
Dimensions: 234 x 165 x 9 mm


MEDIA REVIEWS
"Next to people, data is one of the most important assets of a firm. And in the world of banking and finance, knowing how to manage this important asset, understanding its complexities and behaviors, is critical to a firm's efficient operation. Marc Alvarez explores this topic by breaking down the elements of Market Data into simple language. He demystifies this complex subject through easy to understand explanations and clear illustrations. Whether you are new to this subject, or a seasoned data veteran, Market Data Explained does just that - it provides a comprehensive guide to understanding Market Data and its components, how they are related, and how they fuel the engines of today's financial institutions." --John A. Bottega - Chief Data Officer - Citigroup Corporate and Investment Bank "Capital markets can be complex and confusing. No less so the data that describe them. Alvarez's guide sheds considerable light on the subject. He explains the overall structure of market data and guides our understanding of the details. I particularly liked the figures, as they cut to the essence of some complicated ideas." -- Tom Redman, The Data Doc, Navesink Consulting Group "So again, this is more than a primer, even though it sets out to define the market data industry's framework from the bottom up. In this, it performs a much-needed service, since even the most seasoned of practitioners seem to get their proverbial data-definition knickers in a twist or else suffer from Humpty-Dumpty syndrome ("reference data shall mean whatever I choose it to mean..." and so on.). A serious read, then, that we'd recommend to all-comers, new and old." --Market Data Insight, October 2006

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