Market Data Explained

Market Data Explained
Author: Marc Alvarez
Publisher: Elsevier
Total Pages: 136
Release: 2011-04-01
Genre: Business & Economics
ISBN: 0080465781

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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 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

Market Data Explained
Author: Marc Alvarez
Publisher:
Total Pages: 0
Release: 2006
Genre: Capital market
ISBN:

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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, g...

Technical Analysis of the Financial Markets

Technical Analysis of the Financial Markets
Author: John J. Murphy
Publisher: Penguin
Total Pages: 576
Release: 1999-01-01
Genre: Business & Economics
ISBN: 110165919X

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John J. Murphy has now updated his landmark bestseller Technical Analysis of the Futures Markets, to include all of the financial markets. This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, intermarket relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets. Revised and expanded for the demands of today's financial world, this book is essential reading for anyone interested in tracking and analyzing market behavior.

High-frequency data analysis

High-frequency data analysis
Author: Nadine Hirte
Publisher: GRIN Verlag
Total Pages: 30
Release: 2004-06-23
Genre: Mathematics
ISBN: 3638285227

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Seminar paper from the year 2003 in the subject Mathematics - Statistics, grade: 2.0 (B), European University Viadrina Frankfurt (Oder), language: English, abstract: Today the financial market becomes more complex and includes more competition. Reasons are trends like globalization, liberalization and lower-cost trading mechanism. The market microstructure research has the aim of an efficient market. It is focused on the structure of the financial market. The investigation becomes possible through the availability of high- frequency data. Those data exist especially in the United States and like that most of the research focuses this market. To explain the phenomena, which have been found adequate, models that fit the characteristics of high- frequency data have to be developed. The research is important to understand actions on the market as well as develop new efficient mechanism. One part of the market microstructure field is the bid-ask spread. It will be focus of this paper. In the first two parts it will be discussed theoretically. In the last part one model will be empirically analyzed and tested on its usefulness and validity. The second part of this paper explains the basic elements surrounding the research of bid-ask spread. Those are the financial market, market microstructure as well as high-frequency data. In the following part the bid-ask spread itself, approaches, researches and models focussing the spread will be discussed. The model of Roll (1984) will be explained in detail. The last part will be the empirical analysis of the model of Roll. It is analyzed with data from the NASDAQ.

Applied Quantitative Finance

Applied Quantitative Finance
Author: Mauricio Garita
Publisher: Springer Nature
Total Pages: 240
Release: 2021-09-03
Genre: Business & Economics
ISBN: 3030291413

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This book provides both conceptual knowledge of quantitative finance and a hands-on approach to using Python. It begins with a description of concepts prior to the application of Python with the purpose of understanding how to compute and interpret results. This book offers practical applications in the field of finance concerning Python, a language that is more and more relevant in the financial arena due to big data. This will lead to a better understanding of finance as it gives a descriptive process for students, academics and practitioners.

Quantitative Analysis of Market Data

Quantitative Analysis of Market Data
Author: Adam Grimes
Publisher: CreateSpace
Total Pages: 42
Release: 2015-03-19
Genre:
ISBN: 9781511557313

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Traders who understand the statistics and probabilities behind the movements of financial markets have to tools to find an enduring trading edge. This book is written to be accessible to the trader without a heavy mathematical background, and works toward a deep, intuitive understanding of statistical tools applied to market data. Avoid common missteps and develop the skills to put the odds in your favor.

The Work of Wall Street

The Work of Wall Street
Author: Sereno Stansbury Pratt
Publisher:
Total Pages: 322
Release: 1908
Genre: Securities industry
ISBN:

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MARKET MODELS: A GUIDE TO FINANCIAL DATA ANALYSIS (With CD )

MARKET MODELS: A GUIDE TO FINANCIAL DATA ANALYSIS (With CD )
Author: Carol Alexander
Publisher:
Total Pages: 516
Release: 2009-01-01
Genre:
ISBN: 9788126523702

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Market_Desc: Primarily this book has been written for financial institutions (investment banks, asset management companies, investment analysis personnel, corporate treasuries, insurance companies, pension funds, risk management companies/consultants and regulatory bodies.) Special Features: "The author uses an applications-based approach."Includes the latest developments in VaR. About The Book: Models play a crucial role in today's financial markets and an understanding and appreciation of how to model financial data is key to any finance practitioner's skill set. Model developers are faced with many decisions, about the data, methodology, model specification and testing, prior to the final model implementation. This is costly and how many media reports in recent years have highlighted the mismanagement of such resources! It is crucial to make the right choices at every stage of model development. But this is as much an 'art' as a 'science'. The talented interpretation of results is just as critical for success as the mathematical foundation. This new book is the first of its kind. As well as providing numerous real world examples to illustrate concepts in an accessible manner, the accompanying CD will allow the reader to implement the examples themselves and adapt them for their own purposes. Professor Carol Alexander, Chair of Risk Management at the ISMA Centre and one of the best known names in financial data analysis, provides an authoritative and up-to-date treatment of model development. She brings many new insights to the practicalities of volatility and correlation analysis, modelling the market risk of portfolios and statistical models. New models that are based on cointegration, principal component analysis, normal mixture densities, GARCH and many other areas are elegantly and rigorously explained, with an emphasis on concepts that makes this text accessible to a very wide audience. The book is also designed to be self contained, with many technical appendices. Market Models is the ideal reference for all those involved in model selection and development

The Science Of Financial Market Trading

The Science Of Financial Market Trading
Author: Don K Mak
Publisher: World Scientific
Total Pages: 261
Release: 2003-03-19
Genre: Business & Economics
ISBN: 9814486841

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In this book, Dr Mak views the financial market from a scientific perspective. The book attempts to provide a realistic description of what the market is, and how future research should be developed. The market is a complex phenomenon, and can be forecasted only with errors — if that particular market can be forecasted at all.The book reviews the scientific literatures on the financial market and describes mathematical procedures which demonstrate that some markets are non-random. How the markets are modeled — phenomenologically and from first principle — is explained.It discusses indicators, which are quite objective, rather than price patterns, which are rather subjective. Similarities between indicators in market trading and operators in mathematics are noted, and particularly, between oscillator indicators and derivatives in Calculus. It illustrates why some indicators, e.g., Stochastics, have limited usage. Several new indicators are designed and tested on theoretical waveforms to check their validity and applicability. The indicators have a minimal time lag, which is significant for trading purposes. Common market behaviors like divergences between price and momentum are explained. A skipped convolution technique is introduced to allow traders to pick up market movements at an earlier time. The market is treated as a nonlinear phenomenon. Forecasting of when the market is going to turn is emphasized.

Outperforming the Markets using Relative Strength And Breadth analysis

Outperforming the Markets using Relative Strength And Breadth analysis
Author: Prashant Shah
Publisher: Notion Press
Total Pages: 441
Release: 2021-09-27
Genre: Business & Economics
ISBN: 1639975063

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Relative strength and breadth analysis are less explored methods in trading. However, a combination of these two tools can complement any price-based trading system and help improve the overall profitability of the system. Most traders focus on price-based systems to decide how to trade. But by using relative strength and breadth studies you will know what and when to trade and decide on allocation. This book explains an entirely different way of looking at the markets. You will also learn objective methods that will assist in achieving returns that is better than the broader market.