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Author: Marc Alvarez
Publisher: Elsevier
ISBN: 0080465781
Category : Business & Economics
Languages : en
Pages : 135
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Book Description
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
Author: Marc Alvarez
Publisher: Elsevier
ISBN: 0080465781
Category : Business & Economics
Languages : en
Pages : 135
Get Book Here
Book Description
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
Author: Alexander Denev
Publisher: John Wiley & Sons
ISBN: 1119601797
Category : Business & Economics
Languages : en
Pages : 416
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Book Description
The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors—leading experts in financial modeling, machine learning, and quantitative research and analytics—employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasets Treats the processes needed to make alternative data signals operational Helps investors and risk managers rethink how they engage with alternative datasets Features practical use case studies in many different financial markets and real-world techniques Describes how to avoid potential pitfalls and missteps in starting the alternative data journey Explains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.
Author: Reinhold Munker
Publisher: Cambridge University Press
ISBN: 1107436133
Category : Medical
Languages : en
Pages : 559
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Book Description
This is an essential guide to the data, basic science, outcome studies and decision-making processes involved in blood and marrow stem cell transplantation. Organized according to disease types and procedures, it contains more than 100 tables, figures and algorithms that reflect up-to-date research and give guidance on the choices between different types of chemotherapy, autologous vs. allogeneic transplantation, peripheral blood vs. bone marrow stem cells, and standard vs. experimental treatments. This new edition summarizes the research of the last four years and gives mature data for all established indications, such as acute myeloid leukemia, myelodysplastic syndrome and Hodgkin and non-Hodgkin lymphomas. New chapters discuss global trends in stem cell transplantation, cellular therapies including donor lymphocytes, and pediatric neurologic and metabolic disorders. With an expanded complications section, links to electronic databases and discussion of new drugs and alternative stem cell sources, this text belongs in every transplant unit.
Author: Martin Christopher Sexton
Publisher: Butterworth-Heinemann
ISBN: 9780750668392
Category : Business & Economics
Languages : en
Pages : 320
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Book Description
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
Author: Meredith Zozus
Publisher: CRC Press
ISBN: 1351647733
Category : Computers
Languages : en
Pages : 255
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Book Description
The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members covering how to collect and manage data for research. The book covers basic types of data and fundamentals of how data grow, move and change over time. Focusing on pre-publication data collection and handling, the text illustrates use of these key concepts to match data collection and management methods to a particular study, in essence, making good decisions about data. The first section of the book defines data, introduces fundamental types of data that bear on methodology to collect and manage them, and covers data management planning and research reproducibility. The second section covers basic principles of and options for data collection and processing emphasizing error resistance and traceability. The third section focuses on managing the data collection and processing stages of research such that quality is consistent and ultimately capable of supporting conclusions drawn from data. The final section of the book covers principles of data security, sharing, and archival. This book will help graduate students and researchers systematically identify and implement appropriate data collection and handling methods.
Author:
Publisher:
ISBN:
Category : Advertising
Languages : en
Pages : 456
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Book Description
Author: Joseph R. Davis
Publisher: ASM International
ISBN: 161503983X
Category : Technology & Engineering
Languages : en
Pages : 257
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Book Description
Author: Benedict Go
Publisher: Wilderness Press
ISBN: 0899977456
Category : Travel
Languages : en
Pages : 138
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Book Description
The essential, cut-to-the-chase handbook to the Pacific Crest Trail, based on the comprehensive Wilderness Press guidebooks to the PCT, has been completely updated. Packed with trail-tested features, it’s useful both on and off the trail, covering pre-trip planning for resupply stops, how to set daily on-the-trail mileage goals by knowing trail gradient and the locations of campsites, water sources, and facilities, and how to easily calculate distances between any two points on the trail, and how to planning both north-bound and south-bound hiking trips.
Author: Tomasz Tunguz
Publisher: John Wiley & Sons
ISBN: 1119257239
Category : Business & Economics
Languages : en
Pages : 179
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Book Description
Crest the data wave with a deep cultural shift Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture—this book provides sound guidance on building the type of organizational culture that creates and leverages data daily, in every aspect of the business. Real-world examples illustrate these important concepts at work: you'll learn how data helped Warby-Parker disrupt a $13 billion monopolized market, how ThredUp uses data to process more than 20 thousand items of clothing every day, how Venmo leverages data to build better products, how HubSpot empowers their salespeople to be more productive, and more. From decision making and strategy to shipping and sales, this book shows you how data makes better business. Big data has taken on buzzword status, but there is little real guidance for companies seeking everyday business data solutions. This book takes a deeper look at big data in business, and shows you how to shift internal culture ahead of the curve. Understand the changes a data culture brings to companies Instrument your company for maximum benefit Utilize data to optimize every aspect of your business Improve decision making and transform business strategy Big data is becoming the number-one topic in business, yet no one is asking the right questions. Leveraging the full power of data requires more than good IT—organization-wide buy-in is essential for long-term success. Winning with Data is the expert guide to making data work for your business, and your needs.
Author: Walter R. Paczkowski
Publisher: SAS Institute
ISBN: 1629604879
Category : Computers
Languages : en
Pages : 378
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Book Description
With the powerful interactive and visual functionality of JMP, you can dynamically analyze market data to transform it into actionable and useful information with clear, concise, and insightful reports and displays. Market Data Analysis Using JMP is a unique example-driven book because it has a specific application focus: market data analysis. A working knowledge of JMP will help you turn your market data into vital knowledge that will help you succeed in a highly competitive, fast-moving, and dynamic business world. This book can be used as a stand-alone resource for working professionals, or as a supplement to a business school course in market data research. Anyone who works with market data will benefit from reading and studying this book, then using JMP to apply the dynamic analytical concepts to their market data. After reading this book, you will be able to quickly and effortlessly use JMP to: prepare market data for analysis use and interpret sophisticated statistical methods build choice models estimate regression models to turn data into useful and actionable information Market Data Analysis Using JMP will teach you how to use dynamic graphics to illustrate your market data analysis and explore the vast possibilities that your data can offer!
