Data Capital

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Data Capital

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Author : Chunlei Tang
language : en
Publisher: Springer Nature
Release Date : 2021-01-31

Data Capital written by Chunlei Tang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-31 with Political Science categories.

This book defines and develops the concept of data capital. Using an interdisciplinary perspective, this book focuses on the key features of the data economy, systematically presenting the economic aspects of data science. The book (1) introduces an alternative interpretation on economists’ observation of which capital has changed radically since the twentieth century; (2) elaborates on the composition of data capital and it as a factor of production; (3) describes morphological changes in data capital that influence its accumulation and circulation; (4) explains the rise of data capital as an underappreciated cause of phenomena from data sovereign, economic inequality, to stagnating productivity; (5) discusses hopes and challenges for industrial circles, the government and academia when an intangible wealth brought by data (and information or knowledge as well); (6) proposes the development of criteria for measuring regulating data capital in the twenty-first century for regulatory purposes by looking at the prospects for data capital and possible impact on future society. Providing the first a thorough introduction to the theory of data as capital, this book will be useful for those studying economics, data science, and business, as well as those in the financial industry who own, control, or wish to work with data resources.

Market Data Explained

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Author : Marc Alvarez
language : en
Publisher: Elsevier
Release Date : 2011-04-01

Market Data Explained written by Marc Alvarez and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-01 with Business & Economics categories.

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

The New Data Imperative

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Author : Raj Nathan
language : en
Publisher: Easton Studio Press, LLC
Release Date : 2009-06-30

The New Data Imperative written by Raj Nathan and has been published by Easton Studio Press, LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-30 with Business & Economics categories.

Effective capital and financial risk management now requires that information flows no longer be handled independently in business unit silos; they must be unified for use in front, middle and back offices and to aid compliance with internal controls and regulatory demands. Drawing on their individual and corporate experience at the leading edge of IT developments, three of Sybase's senior IT executives offer a lucid analysis of IT needs in the rapidly changing capital markets. They show how innovative IT capabilities and architectures can strengthen risk management and establish a foundation for new and sustained capital markets growth.

Building The New Economy

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Author : Alex Pentland
language : en
Publisher: MIT Press
Release Date : 2021-10-12

Building The New Economy written by Alex Pentland and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-12 with Computers categories.

How to empower people and communities with user-centric data ownership, transparent and accountable algorithms, and secure digital transaction systems. Data is now central to the economy, government, and health systems—so why are data and the AI systems that interpret the data in the hands of so few people? Building the New Economy calls for us to reinvent the ways that data and artificial intelligence are used in civic and government systems. Arguing that we need to think about data as a new type of capital, the authors show that the use of data trusts and distributed ledgers can empower people and communities with user-centric data ownership, transparent and accountable algorithms, machine learning fairness principles and methodologies, and secure digital transaction systems. It’s well known that social media generate disinformation and that mobile phone tracking apps threaten privacy. But these same technologies may also enable the creation of more agile systems in which power and decision-making are distributed among stakeholders rather than concentrated in a few hands. Offering both big ideas and detailed blueprints, the authors describe such key building blocks as data cooperatives, tokenized funding mechanisms, and tradecoin architecture. They also discuss technical issues, including how to build an ecosystem of trusted data, the implementation of digital currencies, and interoperability, and consider the evolution of computational law systems.

Market Data Explained

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Author : Marc Alvarez
language : en
Publisher:
Release Date : 2006

Market Data Explained written by Marc Alvarez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Capital market categories.

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...

Data Driven

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Author : Amal Bhatnagar
language : en
Publisher:
Release Date : 2021-12-20

Data Driven written by Amal Bhatnagar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-20 with categories.

Poor data quality costs the United States $3.1 trillion dollars every year. Data Driven: Solving the Biggest Problems in Startup Investing explores how new venture capitalists and data scientists can leverage data to invest in startups more efficiently and successfully. Author Amal Bhatnagar aims to teach you how to make better investment decisions by creating your own data-driven organization. You'll hear stories from industry leaders like: David Coats, the Managing Director at Correlation Ventures, who created the world's most complete and accurate database of US-based venture capital financings Will Bricker, a Principal at the Hustle Fund, who built systems to handle 40 percent of all startup investment opportunities without human intervention Tim Harsch, the Chief Executive Officer of Owler, who created data on 13 million+ companies and the world's second largest business community Jonathan Hsu, Tribe Capital's Co-Founder, who uses data science techniques to handle more than $1.3 billion assets under management. This book is a must-read if you are an aspiring investor who wants to make better startup investment decisions or data scientist who wants to build financial products. Here is the first step on the path to building a data-driven competitive edge and a more successful data-driven leadership.

Capital Flow Data A Guide For Empirical Analysis And Real Time Tracking

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Author : Robin Koepke
language : en
Publisher:
Release Date : 2020-08-21

Capital Flow Data A Guide For Empirical Analysis And Real Time Tracking written by Robin Koepke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-21 with categories.

This paper provides an analytical overview of the most widely used capital flow datasets. The paper is written as a guide for academics who embark on empirical research projects and for policymakers who need timely information on capital flow developments to inform their decisions. We address common misconceptions about capital flow data and discuss differences between high-frequency proxies for portfolio flows. In a nowcasting "horse race" we show that high-frequency proxies have significant predictive content for portfolio flows from the balance of payments (BoP). We also construct a new dataset for academic use, consisting of monthly portfolio flows broadly consistent with BoP data.

Human Capital Systems Analytics And Data Mining

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Author : Robert C. Hughes
language : en
Publisher: CRC Press
Release Date : 2018-09-03

Human Capital Systems Analytics And Data Mining written by Robert C. Hughes and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Business & Economics categories.

Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data mining. The main purpose of this book is to provide a rich tool set of methods and tutorials for Human Capital Management Systems (HCMS) database modeling, analytics, interactive dashboards, and data mining that is independent of any human capital software vendor offerings and is equally usable and portable among both commercial and internally developed HCMS. The book begins with an overview of HCMS, including coverage of human resource systems history and current HCMS Computing Environments. It next explores relational and dimensional database management concepts and principles. HCMS Instructional databases developed by the Author for use in Graduate Level HCMS and Compensation Courses are used for database modeling and dashboard design exercises. Exciting knowledge discovery and research Tutorials and Exercises using Online Analytical Processing (OLAP) and data mining tools through replication of actual original pay equity research by the author are included. New findings concerning Gender Based Pay Equity Research through the lens Comparable Worth and Occupational Mobility are covered extensively in Human Capital Metrics, Analytics and Data Mining Chapters.

Human Capital Systems Analytics And Data Mining

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Author : Robert C. Hughes
language : en
Publisher: CRC Press
Release Date : 2018-09-03

Data Analytics For Corporate Debt Markets

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Author : Robert Kricheff
language : en
Publisher: Pearson Education
Release Date : 2014

Data Analytics For Corporate Debt Markets written by Robert Kricheff and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Business & Economics categories.

Written for portfolio managers, traders, analysts, marketers, investment bankers, and other financial practitioners, this book introduces the key data analytics tools, methods, and applications currently used in the corporate debt market. Robert Kricheff shows how data analytics can improve and accelerate the process of proper investment selection, and guides market participants in focusing their credit work. Kricheff demonstrates how to use analytics to position yourself for the future; to assess how your current portfolio or trading desk is presently positioned relative to the marketplace; and to pinpoint which part of your holdings impacted past performance. He outlines how analytics can be used to compare markets, develop investment themes, and select debt issues that fit (or do not fit) those themes. He also demonstrates how investors seek to analyze short term supply and demand, and covers some special parts of the market that utilize analytics. Coverage includes: Why corporate debt analysis is different, and how data analytics can help The essential terminology and tools of data mining and analytics The markets and the players Indexes and index construction Analytics from macro market data to credit selection Analyzing market technicals Special Vehicles: Liquid Bond Indexes, Credit Default Swaps and Indexes, and ETFs Collateralized Loan Obligations (CLOs) Tools for portfolio analysis The future of data analytics in corporate debt markets

Data Capital

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