About this product: 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
About this product: The aim of this book is to provide an objective vendor independent assessment of the Market Data Definition Language (MDDL), the eXtensible Mark-up Language (XML) standard for market data. Assuming little previous knowledge of the standard, or of systems networking, the book identifies the challenges and significance of the standard, examines the business and market drivers and presents decision makers with a clear, concise and jargon free read. Technical material is set off so that Systems Analysts are provided with an explanation to the standard's business terms, context and deep hierarchical structure thus enabling them to create MDDL compliant interfaces. In this way, the book confers the knowledge to enable business and technology professionals to converse comfortably regarding financial systems integration.
*First book to present the business case for MDDL adoption and implementation *Identifies the challenges and significance of the standard, examines the business and market drivers and presents decision makers with a clear, concise and jargon free read. *Technical material is set off from the text for systems analysts and provides comprehensive explanations of terms, context and deep hierarchical structure, thus enabling them to create MDDL compliant interfaces.
About this product: This digital document is a journal article from Computers and Operations Research, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description: We consider a network representation of the stock market data referred to as the market graph, which is constructed by calculating cross-correlations between pairs of stocks based on the opening prices data over a certain period of time. We study the evolution of the structural properties of the market graph over time and draw conclusions regarding the dynamics of the stock market development based on the interpretation of the obtained results.
About this product: Panel Data and Structural Labour Market Models is the latest volume in a series of four, reporting on the original work of an international group of scholars with research interests in the performance of the labour markets that condition the dynamic labour market experiences of individual workers.
The book contains papers focusing on theoretical and empirical modelling of the labour market covering both wage equilibrium models and models for labour market transition. Contributions range from the theoretical or econometric through empirical structural methods and exploratory data analysis based on employer and employee level data.
Academic libraries, labour economists, labour and industrial relations research institutes and statistical agencies will find this a particularly useful piece of work.
About this product: This report was created for global strategic planners who cannot be content with traditional methods of segmenting world markets. With the advent of a “borderless world”, cities become a more important criteria in prioritizing markets, as opposed to regions, continents, or countries. This report covers the top 2000 cities in over 200 countries. It does so by reporting the estimated market size (in terms of latent demand) for each major city of the world. It then ranks these cities and reports them in terms of their size as a percent of the country where they are located, their geographic region (e.g. Africa, Asia, Europe, Middle East, North America, Latin America), and the total world market. In performing various economic analyses for its clients, I have been occasionally asked to investigate the market potential for various products and services across cities. The purpose of the studies is to understand the density of demand within a country and the extent to which a city might be used as a point of distribution within its region. From an economic perspective, however, a city does not represent a population within rigid geographical boundaries. To an economist or strategic planner, a city represents an area of dominant influence over markets in adjacent areas. This influence varies from one industry to another, but also from one period of time to another. In what follows, I summarize the economic potential for the world's major cities for "data processing and network services" for the year 2007. The goal of this report is to report my findings on the real economic potential, or what an economist calls the latent demand, represented by a city when defined as an area of dominant influence. The reader needs to realize that latent demand may or may not represent real sales. For many items, latent demand is clearly observable in sales, as in the case for food or housing items. Consider, however, the category "satellite launch vehicles". Clearly, there are no launch pads in most cities of the world. However, the core benefit of the vehicles (e.g. telecommunications, etc.) is "consumed" by residents or industries within the world's cities. Without certain cities, in other words, the market for satellite launch vehicles would be lower for the world in general. One needs to allocate, therefore, a portion of the worldwide economic demand for launch vehicles to both regions and cities. This report takes the broader definition and considers, therefore, a city as a part of the global market.
About this product: On the demand side, exporters and strategic planners focusing on data processing input or output units in Norway face a number of questions. Which countries are supplying data processing input or output units to Norway? How important is Norway compared to others in terms of the entire global and regional market? How much do the imports of data processing input or output units vary from one country of origin to another in Norway? On the supply side, Norway also exports data processing input or output units. Which countries receive the most exports from Norway? How are these exports concentrated across buyers? What is the value of these exports and which countries are the largest buyers? This report was created for strategic planners, international marketing executives and import/export managers who are concerned with the market for data processing input or output units in Norway. With the globalization of this market, managers can no longer be contented with a local view. Nor can managers be contented with out-of-date statistics which appear several years after the fact. I have developed a methodology, based on macroeconomic and trade models, to estimate the market for data processing input or output units for those countries serving Norway via exports, or supplying from Norway via imports. It does so for the current year based on a variety of key historical indicators and econometric models. In what follows, Chapter 2 begins by summarizing where Norway fits into the world market for imported and exported data processing input or output units. The total level of imports and exports on a worldwide basis, and those for Norway in particular, is estimated using a model which aggregates across over 150 key country markets and projects these to the current year. From there, each country represents a percent of the world market. This market is served from a number of competitive countries of origin. Based on both demand- and supply-side dynamics, market shares by country of origin are then calculated across each country market destination. These shares lead to a volume of import and export values for each country and are aggregated to regional and world totals. In doing so, we are able to obtain maximum likelihood estimates of both the value of each market and the share that Norway is likely to receive this year. From these figures, rankings are calculated to allow managers to prioritize Norway compared to other major country markets. In this way, all the figures provided in this report are forecasts that can be combined with internal information sources for strategic planning purposes.
About this product: On the demand side, exporters and strategic planners focusing on data processing input or output units in New Zealand face a number of questions. Which countries are supplying data processing input or output units to New Zealand? How important is New Zealand compared to others in terms of the entire global and regional market? How much do the imports of data processing input or output units vary from one country of origin to another in New Zealand? On the supply side, New Zealand also exports data processing input or output units. Which countries receive the most exports from New Zealand? How are these exports concentrated across buyers? What is the value of these exports and which countries are the largest buyers? This report was created for strategic planners, international marketing executives and import/export managers who are concerned with the market for data processing input or output units in New Zealand. With the globalization of this market, managers can no longer be contented with a local view. Nor can managers be contented with out-of-date statistics which appear several years after the fact. I have developed a methodology, based on macroeconomic and trade models, to estimate the market for data processing input or output units for those countries serving New Zealand via exports, or supplying from New Zealand via imports. It does so for the current year based on a variety of key historical indicators and econometric models. In what follows, Chapter 2 begins by summarizing where New Zealand fits into the world market for imported and exported data processing input or output units. The total level of imports and exports on a worldwide basis, and those for New Zealand in particular, is estimated using a model which aggregates across over 150 key country markets and projects these to the current year. From there, each country represents a percent of the world market. This market is served from a number of competitive countries of origin. Based on both demand- and supply-side dynamics, market shares by country of origin are then calculated across each country market destination. These shares lead to a volume of import and export values for each country and are aggregated to regional and world totals. In doing so, we are able to obtain maximum likelihood estimates of both the value of each market and the share that New Zealand is likely to receive this year. From these figures, rankings are calculated to allow managers to prioritize New Zealand compared to other major country markets. In this way, all the figures provided in this report are forecasts that can be combined with internal information sources for strategic planning purposes.
About this product: On the demand side, exporters and strategic planners focusing on data processing input or output units in Australia face a number of questions. Which countries are supplying data processing input or output units to Australia? How important is Australia compared to others in terms of the entire global and regional market? How much do the imports of data processing input or output units vary from one country of origin to another in Australia? On the supply side, Australia also exports data processing input or output units. Which countries receive the most exports from Australia? How are these exports concentrated across buyers? What is the value of these exports and which countries are the largest buyers? This report was created for strategic planners, international marketing executives and import/export managers who are concerned with the market for data processing input or output units in Australia. With the globalization of this market, managers can no longer be contented with a local view. Nor can managers be contented with out-of-date statistics which appear several years after the fact. I have developed a methodology, based on macroeconomic and trade models, to estimate the market for data processing input or output units for those countries serving Australia via exports, or supplying from Australia via imports. It does so for the current year based on a variety of key historical indicators and econometric models. In what follows, Chapter 2 begins by summarizing where Australia fits into the world market for imported and exported data processing input or output units. The total level of imports and exports on a worldwide basis, and those for Australia in particular, is estimated using a model which aggregates across over 150 key country markets and projects these to the current year. From there, each country represents a percent of the world market. This market is served from a number of competitive countries of origin. Based on both demand- and supply-side dynamics, market shares by country of origin are then calculated across each country market destination. These shares lead to a volume of import and export values for each country and are aggregated to regional and world totals. In doing so, we are able to obtain maximum likelihood estimates of both the value of each market and the share that Australia is likely to receive this year. From these figures, rankings are calculated to allow managers to prioritize Australia compared to other major country markets. In this way, all the figures provided in this report are forecasts that can be combined with internal information sources for strategic planning purposes.
About this product: On the demand side, exporters and strategic planners focusing on data processing input or output units in Philippines face a number of questions. Which countries are supplying data processing input or output units to Philippines? How important is Philippines compared to others in terms of the entire global and regional market? How much do the imports of data processing input or output units vary from one country of origin to another in Philippines? On the supply side, Philippines also exports data processing input or output units. Which countries receive the most exports from Philippines? How are these exports concentrated across buyers? What is the value of these exports and which countries are the largest buyers? This report was created for strategic planners, international marketing executives and import/export managers who are concerned with the market for data processing input or output units in Philippines. With the globalization of this market, managers can no longer be contented with a local view. Nor can managers be contented with out-of-date statistics which appear several years after the fact. I have developed a methodology, based on macroeconomic and trade models, to estimate the market for data processing input or output units for those countries serving Philippines via exports, or supplying from Philippines via imports. It does so for the current year based on a variety of key historical indicators and econometric models. In what follows, Chapter 2 begins by summarizing where Philippines fits into the world market for imported and exported data processing input or output units. The total level of imports and exports on a worldwide basis, and those for Philippines in particular, is estimated using a model which aggregates across over 150 key country markets and projects these to the current year. From there, each country represents a percent of the world market. This market is served from a number of competitive countries of origin. Based on both demand- and supply-side dynamics, market shares by country of origin are then calculated across each country market destination. These shares lead to a volume of import and export values for each country and are aggregated to regional and world totals. In doing so, we are able to obtain maximum likelihood estimates of both the value of each market and the share that Philippines is likely to receive this year. From these figures, rankings are calculated to allow managers to prioritize Philippines compared to other major country markets. In this way, all the figures provided in this report are forecasts that can be combined with internal information sources for strategic planning purposes.
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