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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) [Hardcover]

Marc Alvarez (Author)
3.0 out of 5 stars  See all reviews (4 customer reviews)

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Book Description

December 1, 2006 0750680555 978-0750680554 1
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

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Market Data Explained: A Practical Guide to Global Capital Markets Information. (The Elsevier and Mondo Visione World Capital Markets) + Managing Financial Information in the Trade Lifecycle: A Concise Atlas of Financial Instruments and Processes (The Elsevier and Mondo Visione World Capital Markets) + Straight Through Processing for Financial Services: The Complete Guide (Complete Technology Guides for Financial Services)
Price For All Three: $184.99

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Editorial Reviews

Review

"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

Book Description

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

Product Details

  • Hardcover: 136 pages
  • Publisher: Butterworth-Heinemann; 1 edition (December 1, 2006)
  • Language: English
  • ISBN-10: 0750680555
  • ISBN-13: 978-0750680554
  • Product Dimensions: 9.2 x 6.5 x 0.7 inches
  • Shipping Weight: 13.4 ounces (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #993,134 in Books (See Top 100 in Books)

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5 of 5 people found the following review helpful:
3.0 out of 5 stars Provides only a conceptual framework, but that's useful, April 22, 2007
By 
Steven Barber (New York, NY USA) - See all my reviews
(REAL NAME)   
This review is from: Market Data Explained: A Practical Guide to Global Capital Markets Information. (The Elsevier and Mondo Visione World Capital Markets) (Hardcover)
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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1 of 1 people found the following review helpful:
4.0 out of 5 stars only an introduction, April 12, 2007
This review is from: Market Data Explained: A Practical Guide to Global Capital Markets Information. (The Elsevier and Mondo Visione World Capital Markets) (Hardcover)
Alvarez offers an introduction to the many types of market data commonly available to professionals in the investment field. The book is also suitable for lay readers, who might be private investors, wanting to understand more about what information is out there.

The book has different ways to classify data. Like by its sources. Where there are some 6 or so main sources, like the stock and bond agencies, government agencies and websites. If you are from a programming bent, you will readily recognise the many Entity Relation Diagrams sprinkled throughout the text. These help clarify the data types.

The book ends with a chapter that is a Logical Data Dictionary. Useful for a quick look at the data types and subtypes talked about earlier in the book.

Keep in mind that the book is fairly lightweight. Financial industry professionals might well have graduated beyond its contents.
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4.0 out of 5 stars Could have used this quite a while ago ..., June 24, 2007
By 
B. Nichols (Washington, DC) - See all my reviews
This review is from: Market Data Explained: A Practical Guide to Global Capital Markets Information. (The Elsevier and Mondo Visione World Capital Markets) (Hardcover)
I've spent a good deal of the past 20 years managing technical and/or product teams in the financial services industry. One trend within these groups is increasing diversification and specialization in background. Programmers come in knowing "C++/JAVA and THIS part of THAT library/toolset" while business staff seem to be ever more specialized in deeper niches. I don't know how many times I've wished I could say "Take this book. Read it. It has a logical map in it that you need to understand. Everyone else on the team has read this and we use our combined view of the map to discuss what we are doing."

Well, here's the book. If you're involved in managing or leading staff dealing with the nitty-gritty of in-the-trenches securities processing and the corresponding technical operations, this can be a cornerstone for training and communications. The book is not perfect and it doesn't cover everything. But it's the most coherently stated framework for discussions of capital markets data systems or product development for that I've seen in one place.

DISCLAIMER: I've met and worked with Marc professionally, though not in a commercial context. I'm definitely not going to get any compensation of any type for this review ;)
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
logical data dictionary, market data content, own proprietary values, business data content, instrument identifier, business data types, security classification schemes, data subtype, issuer identifier, redemption information, corporate actions events, capital markets data, various coding schemes, corporate action event, unique identifier value, clearing information, many different schemes, market identifiers, identifies issuers, alphanumeric string, subtype groups, event identifier, alphanumeric value, basic descriptive information, independent conventions
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Market Data Explained, Definition Instrument, Definition Issuer, Definition Market
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