Friday, March 2, 2012

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

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

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Product Description

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 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


*First and only single, comprehensive desk reference to market data produced by the global capital markets on a daily basis
*Provides a comprehensive catalog of the market data and a common structure for navigating the complex content and interrelationships
*Provides a common taxonomy and naming conventions that handles the highly varied, geographically and language dependent nature of the content

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

Market Data Explained is a rather slim volume that takes a high-level look at the kinds of capital markets data that is typically available, and finds a place for that data in a conceptual framework of the author's devising. Alvarez categorizes the data, shows how it relates both textually and with diagrams, and describes the typical attributes of each kind of record.

There is a great variety of market data out there from various sources described chaotically, if at all, in proprietary ways. Every new practitioner slowly develops their own mental model of how the data fits together. This book can help speed that process.

However, the book is not quite what its title or blurb leads one to believe. It is short on detailed explanation and hands-on practicality. That's not to say there isn't a lot of value in this work: the approach is clear and possibly unique.

What this book does not do is actually show the reader any market data. There are no examples of market data values or transactions whatsoever -- the whole exercise is a bit abstract in that sense. If you are truly new to market data, you won't have much idea what the author is talking about.

The presentation is rather repetitive, which is either a bug or a feature depending on whether one reads the book straight through or just wants to dive into a particular section.

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