Author: Glenn Hopper
Publisher: Leaders Press
ISBN: 9781637350270
Category : Business & Economics
Languages : en
Pages : 192

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Book Description
Deep Finance is informative, enlightening, and embraces the innovation all around us - perfect for trailblazing CFOs ready to dive deep into an era of information, analytics, and Big Data. ARE YOU READY FOR A DIGITAL TRANSFORMATION? LEAD THE AGE OF ANALYTICS WITH DEEP FINANCE. Glenn Hopper uses a unique blend of financial leadership and technical expertise to help businesses of all sizes optimize and modernize. Not a software engineer? Neither is Glenn Hopper, but his story shows how any finance leader can embrace the tech innovations shaping our world to revolutionize finance operations. Accounting has come a long way since the time of the abacus, computer punch cards, or even the paper ledger. Modern finance leaders have the ability and tools to build a team that harnesses the power of business intelligence to make their jobs easier. Leaders who aren’t aware of these opportunities are simply going to be outpaced by competitors willing to adapt to the 21st century and beyond. Deep Finance will take you from asking “What Is AI?” to walking a clear path toward your own digital transformation. Elevate your leadership and be a champion for data science in your department. In Deep Finance, you will: · Study the history of accounting—and why the age of analytics is the next logical step for all finance departments. · Step into the age of artificial intelligence and view the pathway to a digital transformation. · Expand your role as CFO by integrating business intelligence and analytics into your everyday tasks. · Weigh the pros and cons of buying or building software to manage transactions, analyze and collect data, and identify trends. · Become a “New Age CFO” who can make better financial decisions and identify where your company is moving. · Develop the language to elevate your entire management team as you enter the age of artificial intelligence. Don’t get left behind. Your competitors or team members recognize the possibilities that are available to finance departments everywhere. Take the first steps toward a digital transformation and evolution to a data-driven culture. Grab your copy of Deep Finance today!

Author: M. Costantino
Publisher: WIT Press
ISBN: 1845641469
Category : Business & Economics
Languages : en
Pages : 193

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Book Description
Professional financial traders are currently overwhelmed with news and extracting relevant information is a long and hard task, whilst trading decisions require immediate actions. Primarily intended for financial organizations and business analysts, this book provides an introduction to the algorithmic solutions to automatically extract the desired information from Internet news and obtain it in a well structured form. It places emphasis on the principles of the method rather than its numerical implementation, omitting the mathematical details that might otherwise obscure the text, and focuses on the advantages and on the problems of each method. The authors also include many practical examples with complete references and algorithms for similar problems, which may be useful in the financial field, and basic techniques applied in other information extraction fields which may be imported into the financial news analysis.

Author: Detlef Seese
Publisher: Springer Science & Business Media
ISBN: 3540494871
Category : Business & Economics
Languages : en
Pages : 812

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Book Description
This handbook contains surveys of state-of-the-art concepts, systems, applications, best practices as well as contemporary research in the intersection between IT and finance. Included are recent trends and challenges, IT systems and architectures in finance, essential developments and case studies on management information systems, and service oriented architecture modeling. The book shows a broad range of applications, e.g. in banking, insurance, trading and in non-financial companies. Essentially, all aspects of IT in finance are covered.

Author: Laura L. Veldkamp
Publisher: Princeton University Press
ISBN: 140084049X
Category : Business & Economics
Languages : en
Pages : 181

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Book Description
An authoritative graduate textbook on information choice, an exciting frontier of research in economics and finance Most theories in economics and finance predict what people will do, given what they know about the world around them. But what do people know about their environments? The study of information choice seeks to answer this question, explaining why economic players know what they know—and how the information they have affects collective outcomes. Instead of assuming what people do or don't know, information choice asks what people would choose to know. Then it predicts what, given that information, they would choose to do. In this textbook, Laura Veldkamp introduces graduate students in economics and finance to this important new research. The book illustrates how information choice is used to answer questions in monetary economics, portfolio choice theory, business cycle theory, international finance, asset pricing, and other areas. It shows how to build and test applied theory models with information frictions. And it covers recent work on topics such as rational inattention, information markets, and strategic games with heterogeneous information. Illustrates how information choice is used to answer questions in monetary economics, portfolio choice theory, business cycle theory, international finance, asset pricing, and other areas Teaches how to build and test applied theory models with information frictions Covers recent research on topics such as rational inattention, information markets, and strategic games with heterogeneous information

Author: R. Glenn Hubbard
Publisher: University of Chicago Press
ISBN: 0226355942
Category : Business & Economics
Languages : en
Pages : 354

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Book Description
In this volume, specialists from traditionally separate areas in economics and finance investigate issues at the conjunction of their fields. They argue that financial decisions of the firm can affect real economic activity—and this is true for enough firms and consumers to have significant aggregate economic effects. They demonstrate that important differences—asymmetries—in access to information between "borrowers" and "lenders" ("insiders" and "outsiders") in financial transactions affect investment decisions of firms and the organization of financial markets. The original research emphasizes the role of information problems in explaining empirically important links between internal finance and investment, as well as their role in accounting for observed variations in mechanisms for corporate control.

Author: Susan White
Publisher:
ISBN: 9781584262978
Category : Health facilities
Languages : en
Pages : 332

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Book Description
Today's health information management (HIM) professionals assume a significant role in the analysis of data and its integration into business decisions. Sound understanding of financial analysis is key. This text arms HIM professionals and students with the tools to participate actively within a healthcare entity or consulting practice. Key Features, Covers the essentials for understanding and applying financial management concepts to an HIM professional's everyday roles and responsibilities, Delivers finance and accounting vocabulary as defined in a real-world context for the healthcare environment Book jacket.

Author: Irene Aldridge
Publisher: John Wiley & Sons
ISBN: 1119602971
Category : Computers
Languages : en
Pages : 336

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Book Description
Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners.

Author: Asli Demirguc-Kunt
Publisher: World Bank Publications
ISBN: 1464812683
Category : Business & Economics
Languages : en
Pages : 228

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Book Description
In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.

Author: Sanjay Anand
Publisher: John Wiley & Sons
ISBN: 0471927678
Category : Business & Economics
Languages : en
Pages : 290

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Book Description
Praise for Sarbanes-Oxley Guide for Finance and Information Technology Professionals "Effective SOX programs enlist the entire organization to build and monitor a compliant control environment. However, even the best SOX programs are inefficient at best, ineffective at worst, if there is a lack of informed, competent finance and IT personnel to support the effort. This book provides these important professionals a needed resource for and road map toward successfully implementing their SOX initiative." —Scott Green Chief Administrative Officer, Weil, Gotshal & Manges LLP and author, Sarbanes-Oxley and the Board of Directors "As a former CFO and CIO, I found this book to be an excellent synopsis of SOX, with impressive implementation summaries and checklists." —Michael P. Cangemi CISA, Editor in Chief, Information Systems Control Journal and author, Managing the Audit Function "An excellent introduction to the Sarbanes-Oxley Act from the perspective of the financial and IT professionals that are on the front lines of establishing compliance in their organizations. The author walks through many areas by asking 'what can go wrong' types of questions, and then outlines actions that should be taken as well as the consequences of noncompliance. This is a good book to add to one's professional library!" —Robert R. Moeller Author, Sarbanes-Oxley and the New Internal Auditing Rules "Mr. Anand has compiled a solid overview of the control systems needed for not only accounting systems, but also the information technologies that support those systems. Among the Sarbanes books on the market, his coverage of both topics is unique." —Steven M. Bragg Author, Accounting Best Practices "An excellent overview of the compliance process. A must-read for anyone who needs to get up to speed quickly with Sarbanes-Oxley." —Jack Martin Publisher, Sarbanes-Oxley Compliance Journal

Author: Frederi G. Viens
Publisher: John Wiley & Sons
ISBN: 0470876883
Category : Business & Economics
Languages : en
Pages : 468

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Book Description
CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICS In recent years, the availability of high-frequency data and advances in computing have allowed financial practitioners to design systems that can handle and analyze this information. Handbook of Modeling High-Frequency Data in Finance addresses the many theoretical and practical questions raised by the nature and intrinsic properties of this data. A one-stop compilation of empirical and analytical research, this handbook explores data sampled with high-frequency finance in financial engineering, statistics, and the modern financial business arena. Every chapter uses real-world examples to present new, original, and relevant topics that relate to newly evolving discoveries in high-frequency finance, such as: Designing new methodology to discover elasticity and plasticity of price evolution Constructing microstructure simulation models Calculation of option prices in the presence of jumps and transaction costs Using boosting for financial analysis and trading The handbook motivates practitioners to apply high-frequency finance to real-world situations by including exclusive topics such as risk measurement and management, UHF data, microstructure, dynamic multi-period optimization, mortgage data models, hybrid Monte Carlo, retirement, trading systems and forecasting, pricing, and boosting. The diverse topics and viewpoints presented in each chapter ensure that readers are supplied with a wide treatment of practical methods. Handbook of Modeling High-Frequency Data in Finance is an essential reference for academics and practitioners in finance, business, and econometrics who work with high-frequency data in their everyday work. It also serves as a supplement for risk management and high-frequency finance courses at the upper-undergraduate and graduate levels.