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| financial data market size: The Global Findex Database 2017 Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, Saniya Ansar, 2018-04-19 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. |
| financial data market size: New Horizons for a Data-Driven Economy José María Cavanillas, Edward Curry, Wolfgang Wahlster, 2016-04-04 In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment. |
| financial data market size: Visualizing Financial Data Julie Rodriguez, Piotr Kaczmarek, 2016-05-02 A fresh take on financial data visualization for greater accuracy and understanding Your data provides a snapshot of the state of your business and is key to the success of your conversations, decisions, and communications. But all of that communication is lost — or incorrectly interpreted — without proper data visualizations that provide context and accurate representation of the numbers. In Visualizing Financial Data, authors Julie Rodriguez and Piotr Kaczmarek draw upon their understanding of information design and visual communication to show you how to turn your raw data into meaningful information. Coverage includes current conventions paired with innovative visualizations that cater to the unique requirements across financial domains, including investment management, financial accounting, regulatory reporting, sales, and marketing communications. Presented as a series of case studies, this highly visual guide presents problems and solutions in the context of real-world scenarios. With over 250 visualizations, you’ll have access to relevant examples that serve as a starting point to your implementations. • Expand the boundaries of data visualization conventions and learn new approaches to traditional charts and graphs • Optimize data communications that cater to you and your audience • Provide clarity to maximize understanding • Solve data presentation problems using efficient visualization techniques • Use the provided companion website to follow along with examples The companion website gives you the illustration files and the source data sets, and points you to the types of resources you need to get started. |
| financial data market size: Analyzing Financial Data and Implementing Financial Models Using R Clifford S. Ang, 2015-04-06 This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement the models, and generate typical output expected for a particular analysis. This text aims to overcome several common obstacles in teaching financial modeling. First, most texts do not provide students with enough information to allow them to implement models from start to finish. In this book, we walk through each step in relatively more detail and show intermediate R output to help students make sure they are implementing the analyses correctly. Second, most books deal with sanitized or clean data that have been organized to suit a particular analysis. Consequently, many students do not know how to deal with real-world data or know how to apply simple data manipulation techniques to get the real-world data into a usable form. This book will expose students to the notion of data checking and make them aware of problems that exist when using real-world data. Third, most classes or texts use expensive commercial software or toolboxes. In this text, we use R to analyze financial data and implement models. R and the accompanying packages used in the text are freely available; therefore, any code or models we implement do not require any additional expenditure on the part of the student. Demonstrating rigorous techniques applied to real-world data, this text covers a wide spectrum of timely and practical issues in financial modeling, including return and risk measurement, portfolio management, options pricing, and fixed income analysis. |
| financial data market size: Statistical Reference Index , 1980 |
| financial data market size: Handbook of Financial Data and Risk Information I Margarita S. Brose, Mark D. Flood, Dilip Krishna, Bill Nichols, 2014 Volume I examines the business and regulatory context that makes risk information so important. A vast set of quantitative techniques, internal risk measurement and governance processes, and supervisory reporting rules have grown up over time, all with important implications for modeling and managing risk information. Without an understanding of the broader forces at work, it is all too easy to get lost in the details. -- Back cover. |
| financial data market size: Mathematica Stephen Wolfram, 1991 |
| financial data market size: FDIC Statistics on Banking , 1993 A statistical profile of the United States banking industry. |
| financial data market size: Nonlinear Time Series Analysis of Economic and Financial Data Philip Rothman, 2012-12-06 Nonlinear Time Series Analysis of Economic and Financial Data provides an examination of the flourishing interest that has developed in this area over the past decade. The constant theme throughout this work is that standard linear time series tools leave unexamined and unexploited economically significant features in frequently used data sets. The book comprises original contributions written by specialists in the field, and offers a combination of both applied and methodological papers. It will be useful to both seasoned veterans of nonlinear time series analysis and those searching for an informative panoramic look at front-line developments in the area. |
| financial data market size: Financial Data Analytics Sinem Derindere Köseoğlu, 2022-04-25 This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization. This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics. |
| financial data market size: The Data Industry Chunlei Tang, 2016-06-13 Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China. |
| financial data market size: OECD Sovereign Borrowing Outlook 2021 OECD, 2021-05-20 This edition of the OECD Sovereign Borrowing Outlook reviews developments in response to the COVID-19 pandemic for government borrowing needs, funding conditions and funding strategies in the OECD area. |
| financial data market size: Best Websites for Financial Professionals, Business Appraisers, and Accountants Eva M. Lang, Jan Davis Tudor, 2003-07-07 A no-nonsense guide to quickly finding and evaluating the quality and usefulness of a site Written by two of the industry's leading researchers, this book helps professionals evaluate, target, and locate the best financial and business Web sites. The authors reveal tips and traps and recommend favorite sites, including a comprehensive review of the most important financial sites on the Internet. Eva Lang (Memphis, TN) is a nationally recognized expert on electronic research for business valuation and litigation support services. She currently serves as Chief Operating Officer of the Financial Consulting Group, the largest alliance of business valuation and consulting firms in the U.S. Jan Tudor (Portland, OR) is President of JT Research and a popular speaker on research strategies on the Internet. |
| financial data market size: Federal Register , 1981-10-28 |
| financial data market size: Indian Financial System, 4th Edition H.R. Machiraju, 2010 The Indian Financial System has almost been completely transformed to keep up with the changing economic scenario, necessitating a through revision of this textbook. The fourth edition of Indian Financial System takes into account these changes in all their complexities yet retaining the original focus on the analysis of the principles and practices in the money market, capital market and the foreign exchange market. |
| financial data market size: Technical Analysis of the Financial Markets John J. Murphy, 1999-01-01 John J. Murphy has 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. |
| financial data market size: Visualizing Financial Data Julie Rodriguez, Piotr Kaczmarek, 2016-04-20 A fresh take on financial data visualization for greater accuracy and understanding Your data provides a snapshot of the state of your business and is key to the success of your conversations, decisions, and communications. But all of that communication is lost — or incorrectly interpreted — without proper data visualizations that provide context and accurate representation of the numbers. In Visualizing Financial Data, authors Julie Rodriguez and Piotr Kaczmarek draw upon their understanding of information design and visual communication to show you how to turn your raw data into meaningful information. Coverage includes current conventions paired with innovative visualizations that cater to the unique requirements across financial domains, including investment management, financial accounting, regulatory reporting, sales, and marketing communications. Presented as a series of case studies, this highly visual guide presents problems and solutions in the context of real-world scenarios. With over 250 visualizations, you’ll have access to relevant examples that serve as a starting point to your implementations. • Expand the boundaries of data visualization conventions and learn new approaches to traditional charts and graphs • Optimize data communications that cater to you and your audience • Provide clarity to maximize understanding • Solve data presentation problems using efficient visualization techniques • Use the provided companion website to follow along with examples The companion website gives you the illustration files and the source data sets, and points you to the types of resources you need to get started. |
| financial data market size: The Reference Collection Linda S Katz, 2013-09-05 Stay up-to-date with the growing amount of reference resources available online How important is the World Wide Web to information retrieval and communication? Important enough that information professionals have seen students exit from their libraries en masse when Internet service was lost. Internet providers dominate the indexing and abstracting of periodical articles as major publishers now offer nearly all of their reference titles in digital form. Libraries spend increasing amounts of funding on electronic reference materials, and librarians devote an increasing amount of time to assisting in their use. The Reference Collection: From the Shelf to the Web is an essential guide to collection development for electronic materials in academic and public libraries. The Reference Collection: From the Shelf to the Web tracks the continuing evolution of electronic reference resources-and how they’re accessed—in a variety of settings. Librarians representing university, elementary school, and public libraries in the United States and Australia examine how reference collections have evolved over time (and may soon be a thing of the past); how public and school libraries have dealt with the changes; why library research assignments have become more difficult for teachers to make and for students to complete; how to organize online reference sources; and why the nature of plagiarism has changed in the electronic era. The book also examines the use of electronic references from a publisher’s perspective and looks at the most important Web-accessible reference tools—both free and subscription—in the areas of humanities, medicine, the social sciences, business, and education. The Reference Collection: From the Shelf to the Web also examines: issues of authority, accessibility, cost, comfort, and user education in evaluating electronic resources the formation of purchasing consortia to facilitate the transfer of reference materials from print to online formats current literature and research findings on the state of digital versus print reference collections what electronic publishing means to smaller reference books (dictionaries, almanacs, etc.) the need for increased information literacy among students the nature, extent, and causes of cyber plagiarism the use of federated search tools and includes a selected list of the top 100 free Internet reference sites The Reference Collection: From the Shelf to the Web is an essential resource for all reference and collection development librarians, and an invaluable aid for publishing professionals. |
| financial data market size: Solomon Islands Economic and Development Strategy Handbook Volume 1 Strategic Information and Developments IBP, Inc., 2009-03-30 Solomon Islands Economic & Development Strategy Handbook |
| financial data market size: Earnings Management Joshua Ronen, Varda Yaari, 2008-08-06 This book is a study of earnings management, aimed at scholars and professionals in accounting, finance, economics, and law. The authors address research questions including: Why are earnings so important that firms feel compelled to manipulate them? What set of circumstances will induce earnings management? How will the interaction among management, boards of directors, investors, employees, suppliers, customers and regulators affect earnings management? How to design empirical research addressing earnings management? What are the limitations and strengths of current empirical models? |
| financial data market size: Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022) Gaikar Vilas Bhau, Yuriy Shvets, Hrushikesh Mallick, 2022-12-22 This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss. |
| financial data market size: Annual Review of Communications: Volume 59 International Engineering Consortium, 2007 An indispensable reference publication for telecommunication and information-industry professionals. Each year, the IEC brings together into one unique resource the most current thinking and practical experience of industry leaders around the world on a variety of topics facing their areas of specialization. This 700+ page reference tool is a must for executives, managers, engineers, analysts, and educators in all sectors of today's changing information industry. |
| financial data market size: Financial Data Analytics with Machine Learning, Optimization and Statistics Sam Chen, Ka Chun Cheung, Phillip Yam, 2024-10-18 An essential introduction to data analytics and Machine Learning techniques in the business sector In Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, experienced actuarial professionals and working data analysts delivers an expertly balanced combination of traditional financial statistics, effective machine learning tools, and mathematics. The book focuses on contemporary techniques used for data analytics in the financial sector and the insurance industry with an emphasis on mathematical understanding and statistical principles and connects them with common and practical financial problems. Each chapter is equipped with derivations and proofs—especially of key results—and includes several realistic examples which stem from common financial contexts. The computer algorithms in the book are implemented using Python and R, two of the most widely used programming languages for applied science and in academia and industry, so that readers can implement the relevant models and use the programs themselves. The book begins with a brief introduction to basic sampling theory and the fundamentals of simulation techniques, followed by a comparison between R and Python. It then discusses statistical diagnosis for financial security data and introduces some common tools in financial forensics such as Benford's Law, Zipf's Law, and anomaly detection. The statistical estimation and Expectation-Maximization (EM) & Majorization-Minimization (MM) algorithms are also covered. The book next focuses on univariate and multivariate dynamic volatility and correlation forecasting, and emphasis is placed on the celebrated Kelly's formula, followed by a brief introduction to quantitative risk management and dependence modelling for extremal events. A practical topic on numerical finance for traditional option pricing and Greek computations immediately follows as well as other important topics in financial data-driven aspects, such as Principal Component Analysis (PCA) and recommender systems with their applications, as well as advanced regression learners such as kernel regression and logistic regression, with discussions on model assessment methods such as simple Receiver Operating Characteristic (ROC) curves and Area Under Curve (AUC) for typical classification problems. The book then moves on to other commonly used machine learning tools like linear classifiers such as perceptrons and their generalization, the multilayered counterpart (MLP), Support Vector Machines (SVM), as well as Classification and Regression Trees (CART) and Random Forests. Subsequent chapters focus on linear Bayesian learning, including well-received credibility theory in actuarial science and functional kernel regression, and non-linear Bayesian learning, such as the Naïve Bayes classifier and the Comonotone-Independence Bayesian Classifier (CIBer) recently independently developed by the authors and used successfully in InsurTech. After an in-depth discussion on cluster analyses such as K-means clustering and its inversion, the K-nearest neighbor (KNN) method, the book concludes by introducing some useful deep neural networks for FinTech, like the potential use of the Long-Short Term Memory model (LSTM) for stock price prediction. This book can help readers become well-equipped with the following skills: To evaluate financial and insurance data quality, and use the distilled knowledge obtained from the data after applying data analytic tools to make timely financial decisions To apply effective data dimension reduction tools to enhance supervised learning To describe and select suitable data analytic tools as introduced above for a given dataset depending upon classification or regression prediction purpose The book covers the competencies tested by several professional examinations, such as the Predictive Analytics Exam offered by the Society of Actuaries, and the Institute and Faculty of Actuaries' Actuarial Statistics Exam. Besides being an indispensable resource for senior undergraduate and graduate students taking courses in financial engineering, statistics, quantitative finance, risk management, actuarial science, data science, and mathematics for AI, Financial Data Analytics with Machine Learning, Optimization and Statistics also belongs in the libraries of aspiring and practicing quantitative analysts working in commercial and investment banking. |
| financial data market size: C++ for Finance Robert Johnson, 2024-10-24 C++ for Finance: Writing Fast and Reliable Trading Algorithms serves as an essential guide for both aspiring developers and seasoned finance professionals eager to exploit the power of C++ in trading systems. Addressing the imperative need for speed and precision in financial markets, this book combines comprehensive programming instruction with financial strategies, providing a foundation in C++ that is both technically robust and directly applicable to finance. Each chapter is thoughtfully structured to impart the necessary skills, from understanding financial data structures and advanced C++ concepts, to integrating real-time data feeds and executing sophisticated trading algorithms. With a keen focus on practical application, the book delves into the intricacies of designing, testing, and deploying trading systems. Readers will benefit from detailed discussions on risk management, performance optimization, and automated trade execution, ensuring they are equipped to build systems that are not only innovative but also reliable and secure. Designed to transition seamlessly from basic concepts to advanced strategies, this guide offers the knowledge required to thrive in the dynamic field of algorithmic trading, empowering readers to contribute meaningfully to the future of financial technology. |
| financial data market size: Export-Import Theory, Practices, and Procedures Belay Seyoum, 2013-12-04 Export-Import Theory, Practices, and Procedures is the first book on the topic aimed squarely at the academic audience. Discussing theoretical issues in depth, this innovative textbook offers a comprehensive exploration of import procedures and export regulations, incorporating the most relevant and current research information in the area. The new edition includes: Updates on major developments in bilateral and regional trade agreements, and regulatory changes in export controls Changes to taxation laws in the US and internationally that impact import/export Changes to INCOTERMS 2000 and to letters of credit New developments in countertrade The new role of the Export-Import Bank This book combines an innovative conceptual and theoretical approach, a comprehensive analytical treatment, and an engaging and accessible presentation style to offer one of the most useful textbooks on the market for students and practitioners alike. More information can be found at: www.export-importtradecenter.com |
| financial data market size: Sports Nation: Contemporary American Professional Organizations Frank P Jozsa, Jr, 2017-08-28 The book focuses on, identifies, and analyzes various divisions and conferences of four professional sports leagues and their teams' historical regular season and postseason performances, and also provides a recent financial profile of them while being competitive, profitable or unprofitable, and well-known enterprises. The parent sports organizations are the American League and National League in Major League Baseball, American Football Conference and National Football Conference in the National Football League, and the Eastern and Western Conference each in the National Basketball Association and National Hockey League. |
| financial data market size: Transnational Management Christopher A. Bartlett, Paul W. Beamish, 2018-03 Transnational Management offers a uniquely global focus on strategic development, organizational capabilities and management challenges. |
| financial data market size: Complex Systems Design & Management Guy André Boy, Alan Guegan, Daniel Krob, Vincent Vion, 2019-11-26 This book contains all refereed papers accepted during the tenth edition of the conference that took place at the Cité Internationale Universitaire de Paris on December 12-13, 2019. Mastering complex systems requires an integrated understanding of industrial practices as well as sophisticated theoretical techniques and tools. This explains the creation of an annual go-between forum in Paris dedicated to academic researchers & industrial actors working on complex industrial systems architecture, modeling & engineering. These proceedings cover the most recent trends in the emerging field of Complex Systems, both from an academic and a professional perspective. A special focus is put on “Systems Engineering through the ages”. The CSD&M Paris 2019 conference is organized under the guidance of CESAM Community. It has been developed since 2010 by the non-profit organization CESAMES Association to organize the sharing of good practices in Enterprise and Systems Architecture and to certify the level of knowledge and proficiency in this field through CESAM certification. |
| financial data market size: Business and financial report Associazione fra le società italiane per azioni, 1924 |
| financial data market size: Online Business Sourcebook Oksana Newman, 2008-12-19 Online Business Sourcebook is the only evaluative guide to electronic business database products and services. The arrangement of products and services within the Sourcebook is by thematic chapter, to make it easy to review all products on a specific topic: Online hosts and aggregators; The Internet; Company directories; Company financials; Investment analysis; Shareholder analysis; Credit; Mergers and acquisitions; Business and financial news; Business opportunities; Grants, advice and source of finance; Legislation and regulations; Prices; Market data; Industries; Economics and finance; International trade; Business management literature; Trademarks, trade names and brands; Recent highlights. Within most chapters, products are arranged by geographic coverage. Incorporated are three indexes: names; country/regions and subjects. |
| financial data market size: Towards Success in a Competitive Market: The Importance of Entrepreneurship and Innovation Marcin Gębarowski, Renata Lisowska, 2019 The nine papers published in this issue of the Journal of Entrepreneurship, Management and Innovation point to various problems which are important for effective management in a turbulent and dynamically changing contemporary market. The authors of the articles come from universities in the Czech Republic, Italy, the Republic of Moldova, Nigeria, Poland, Taiwan and Ukraine. The scientists present current and original views on issues related to: research & development expenditure and innovation levels in EU countries; the role of innovative entrepreneurship in economic development; the competitiveness of small innovative companies; social networking in family businesses; the connections between socioemotional wealth and competitive advantage of family firms; agrirural entrepreneurial alertness; the assessment of human resources` interactions; the impact of seasonality on employment in tourism; and socio-economic clients’ requirements for food packaging. However, regardless of the subject matter, all the papers indicate an organizational framework and solutions for achieving success in a competitive market. The first article, by Radka MacGregor Pelikánová, addresses R&D expenditure and innovations in the EU, which are the foundations for competitiveness in contemporary economies. The author focuses on the following three essential questions: How much is spent on R&D? How many patentable inventions are filed and succeed, and how many other ideas lead to innovations? Is it possible to imply a potential relationship and what are the trends? The described study entailed secondary data while exploring hard data sources, such as Eurostat and the European Patent Office databases, official or legislative documents, such as Europe 2020, and the academic literature. Furthermore, the author used direct observations, field search and her own experience, gained over 20 years by participating in many patent applications and other instruments protecting future innovations. Answering the questions, it was found that: the 3% threshold will not be met in the larger part of the EU, the number of patent applications and granted patents keep growing along with digitalization, and the possibility of a relationship between these factors and trends exists but is not conclusive or dramatically strong. The research challenge, taken by Radka MacGregor Pelikánová, requires an appreciation that, as she notes, “one of the limitations of the study was caused by the intangible, ephemeral and hardly predictable nature of innovations, and the impossibility to collect and mathematically process all the involved phenomena.” The second paper, written by Rodica Crudu, refers to the importance of entrepreneurship in driving innovation, economic growth and welfare, as well as job creation, and draws attention to the fact that innovation is seen as a driving force in the economic development of nations. Since innovative entrepreneurship has begun to be considered a key factor in modern economic development, finding a prominent place at the core of the European Union’s development strategy – Europe 2020, the author aims to analyse the role of innovative entrepreneurship in the economic development of EU member states by testing a model that captures new or young innovative firms as manifestations of innovative entrepreneurship along with determinants of economic growth rates. The key findings of the paper show that innovative entrepreneurs are more often present in countries with higher development levels and higher incomes, being motivated by the improvement opportunity they see in becoming entrepreneurs. However, a higher degree of entrepreneurship, especially in the creation of new firms, does not substantially contribute to accelerated economic development. This is explained by the variation in the motivation (necessity or improvement-oriented) of entrepreneurs across EU countries. In developed countries, entrepreneurs are most likely to be of Schumpeterian type, while in developing countries most of them are shopkeepers. The presented paper has significant practical implications for decision and policy-making authorities in terms of the possible directions of innovative entrepreneurship policy development, including friendlier and more efficient policies aimed at the creation of new firms and the development of SME-supporting tools. Edward Stawasz, whose paper is based on the results of conducted research, carried out an analysis and evaluation of the importance of selected determinants of competitiveness of small innovative enterprises operating in international markets and using business advice services. The first part of this article is a comprehensive literature review concerning the identification of determinants of competitiveness of small enterprises and the characteristics of motives for using, as well as the areas and effects of using, business advice. The second part of the article presents an analysis of the results of a survey conducted among 67 small, innovative enterprises operating in international markets and at the same time using business advice services, carried out with the use of the CATI method. The conducted analysis has shown that the use of business advice extends the scope of determinants of competitiveness of enterprises operating in international markets. Business advice can be considered an effective factor in improving the competitiveness of enterprises already characterized by high competitiveness, which means that a high level of competitiveness favors the effectiveness of the use of business advice. An important conclusion reached by the author is the existence of a positive relationship between business advice and enterprises’ capacity to absorb business knowledge. Therefore, improving the competitiveness of enterprises requires using business advice and improving the business knowledge absorptive capacity. The focus of the next article, written by Kenneth Chukwujioke Agbim, is the conceptual considerations regarding social networking and family businesses, presented in a review of the contribution of social networking to the financial and non-financial performance of family businesses. Based on an analysis of 55 peer-reviewed, published journal articles, the author identified the most frequently used social networking platforms, the measures of financial performance, the measures and proxies of non-financial performance, and the differences between the financial and non-financial performance. The study proposes the use of both financial and non-financial measures in assessing the performance of family businesses due to their complementary roles. Therefore, the presented research contributes to the family business literature by highlighting the importance of combining financial and non-financial measures in assessing family business performance, indicating that due to the specificity of a family business, its performance should be assessed in such a joint manner. The research topic of the fifth article, by Katarzyna Bratnicka-Myśliwiec and Martyna Wronka-Pośpiech, is socioemotional wealth in the context of competitive advantages of family businesses. These authors argue that socioemotional wealth may trigger or limit family firms’ strategic initiatives that ultimately shape their competitive advantage. The basic assumption is that, unlike non-family firms, family businesses have some unique qualities that should be considered. The research was conducted in almost two hundred firms through a telephone survey. The obtained results reveal that, indeed, socioemotional wealth and competitive advantage are partially associated, and socioemotional wealth can be regarded as an important strategic antecedent to firm performance. Therefore, the first main theoretical implication is the emphasis on the importance of socioemotional wealth as a strategic resource. The second main conclusion is the recommendation that socioemotional wealth is a relevant determinant of competitive advantage. Family businesses rely on more complex social dynamics than the dynamics of a pure market, where the informal sphere is critical for current functioning. Moreover, the connections between family business attributes and firm performance are by no means easy to understand. Consequently, this paper makes a significant contribution to the scientific literature. In the next article Chaoyun Liang presents research on agrirural entrepreneurship and the results of a series of three studies conducted to develop a measure of entrepreneurial alertness in the agrirural environment which is empirically valid, easy to use, and can analyze how the personality traits of agrirural entrepreneurs affect their entrepreneurial alertness. The results indicate that both extraversion and openness affect all of the dimensions of entrepreneurial alertness, whereas conscientiousness only influences scanning and searching, and agreeableness has an impact solely on evaluation and judgment. The presented findings also demonstrate the interactive relationships between extraversion and openness for all of the dimensions of entrepreneurial alertness. The research provides a new understanding of how agrirural entrepreneurial alertness can be assessed more practically and how personality traits can help predict various dimensions of agrirural entrepreneurial alertness. The author states that, due to the fact that agriculture remains the basis of socioeconomic development, governments worldwide are actively formulating relevant policies to aid in the restructuring and upscaling of their agricultural industries. Thus, providing essential guidance in agricultural entrepreneurship for diversifying rural regions should be their central concern. Therefore, recognizing and interpreting opportunities are the most crucial abilities that should be fostered in developing agrirural entrepreneurship. The seventh paper is devoted to the subject of human resources, in particular interactions. The author of this text is Anna Pereverzieva, who indicates that there is a need to develop a methodological approach to the assessment of united communities` human resources` level of interactions. Hence, in light of the gap in the scientific literature, she tries to determine such an approach. The author’s work is based on the example of a united community and a structural unit and, in addition, considers two determinants of human resources` interactions – the group size and the nature of labor. As a tool of the empirical study, the author used expert assessment and the application of certain mathematical dependencies that allowed the coefficient of interactions to be determined. It transpired that small groups with intellectual labor have higher levels of interactions than large groups with a predominance of manual labor. It is worth noting that the proposition of a methodical approach is universal and might be used by both communities and business entities. Moreover, an additional advantage of the study is the proposal of a 4-stage procedure for assessing the level of human resources` interactions. The eighth paper, written by Aleksandra Grobelna and Katarzyna Skrzeszewska, connects tourism seasonality with employment in the travel and tourism sector. The issue, raised by these authors, is a current and important topic, since nowadays seasonality plays a decisive role in creating demand in the tourist industry. The problem is investigated from the perspective of tourism and hospitality students of higher educational institutions located in the northern part of Poland (Southern Baltic Sea Region). The main point of the authors’ interest was the students’ attitudes towards seasonality in tourism employment and its impact on students’ tourism employment aspirations. As a research method, a direct questionnaire was used and the obtained data were analyzed statistically. According to one of the conclusions, more students agree that seasonality contributes positively rather than negatively to tourism employment. The authors indicate that the depicted results of the research study can be of substantial importance to managers in the industry, which suffers from low employment status and experiences chronic shortages of skilled and well-qualified employees. The last article by Agnieszka Cholewa-Wójcik, Agnieszka Kawecka, Carlo Ingrao and Valentina Siracusa presents interesting results of research on the requirements for packaging to answer contemporary consumers’ needs. The study represents a holistic approach to the topic. The authors conducted a survey among clients of shopping malls in the Małopolska region of Poland. Analysis of the obtained data indicated the following order of priority of consumers’ needs: ensuring safety, meeting legal regulations, wants related to lifestyle, improving consumers’ life quality through added value, and protection of the environment. Furthermore, the team of authors proposed the model packaging. According to them, modern food packaging should be characterized by health (safety), simplicity (reduction, convenience), identity (belonging), aesthetics (design), and meaning (sustainability, intelligence). These conclusions have a managerial dimension because they might be valuable premises for developing packaging and introducing innovative solutions in this area. The paper confirms that both the design of food packaging systems and the production of such kinds of packaging should be developed after giving due consideration not only to the technical requirements but also to the socio-economic and the environmental ones. As the editors of this issue, we would like to thank all the authors for their contribution, and for sharing their own theoretical considerations and the results of empirical research. We are convinced that the presented studies constitute a valuable contribution to management sciences in the area of effective organizational management in a turbulent environment. We would also like to thank the reviewers for their efforts in reviewing the articles for this issue, as well as their valuable comments and suggestions that have influenced its final shape. We hope that the articles presented in this issue will interest readers, scientists and researchers from around the world, in addition to inspiring them to conduct further research on the topics discussed. |
| financial data market size: Guide to Reference in Business and Economics Steven W. Sowards, Elisabeth Leonard, 2014-07-22 Focusing on print and electronic sources that are key to business and economics reference, this work is a must-have for every reference desk. Readers will find sources of information on such topics asBusiness lawE-commerceInternational businessManagement of information systemsOccupations and careersMarket researchGuide to Reference is used internationally as the “source of first resort” for identifying information and training reference professionals, and this book will help connect librarians and researchers to the most relevant sources of information on business and economics. |
| financial data market size: Corporate Finance Michelle R. Clayman, Martin S. Fridson, George H. Troughton, 2012-03-06 The book that fills the practitioner need for a distillation of the most important tools and concepts of corporate finance In today's competitive business environment, companies must find innovative ways to enable rapid and sustainable growth not just to survive, but to thrive. Corporate Finance: A Practical Approach is designed to help financial analysts, executives, and investors achieve this goal with a practice-oriented distillation of the most important tools and concepts of corporate finance. Updated for a post-financial crisis environment, the Second Edition provides coverage of the most important issues surrounding modern corporate finance for the new global economy: Preserves the hallmark conciseness of the first edition while offering expanded coverage of key topics including dividend policy, share repurchases, and capital structure Current, real-world examples are integrated throughout the book to provide the reader with a concrete understanding of critical business growth concepts Explanations and examples are rigorous and global, but make minimal use of mathematics Each chapter presents learning objectives which highlight key material, helping the reader glean the most effective business advice possible Written by the experts at CFA Institute, the world's largest association of professional investment managers Created for current and aspiring financial professionals and investors alike, Corporate Finance focuses on the knowledge, skills, and abilities necessary to succeed in today's global corporate world. |
| financial data market size: Introduction To Project Finance H. R. Machiraju, 2001-04-01 The book presents the criteria for assessing the competitive status of a project unit and methods to improve quality and productivity. |
| financial data market size: Handbook of Financial Data and Risk Information II Margarita S. Brose, Mark D. Flood, Dilip Krishna, Bill Nichols, 2014-01-09 A comprehensive resource for understanding the issues involved in collecting, measuring and managing data in the financial services industry. |
| financial data market size: Adventures in Financial Data Science Graham L Giller, 2020-11-17 Graham Giller is one of Wall Street's original data scientists. Starting his career at Morgan Stanley in the UK, he was an early member of Peter Muller's famous PDT group and went on to run his own investment firm. He was Bloomberg LP's original data science hire and set up the data science team in the Global Data division there. He them moved to J.P. Morgan to take the role of Chief Data Scientist, New Product Development, and was subsequently Head of Data Science Research at J.P. Morgan and Head of Primary Research at Deutsche Bank. This book is briefly a biography but mostly a narrative of Graham's research in the fields of financial, economic, and alternative data. It contains extensive analysis of the true empirical properties of financial data and a detailed exploration of topics including Stock Market Prices, Treasury Bill Rates, LIBOR and Eurodollar Futures, Volatility and Options Prices, Sentiment Analysis on Social Media, Demographics and Survey Research, Time-Series Analysis of the Climate, and work on Language, Politics and Health Care data. The goal is to stimulate interest in predictive methods, to give accurate characterizations of the true properties of financial, economic and alternative data, and to share what Richard Feynman described as The Pleasure of Finding Things Out. It has entertaining tales of a life in quantitative finance and data science including trading UK Government Bonds from Oxford Post Office, accidentally creating a global instant messaging system that went viral before anybody knew what that meant, on being the person who forgot to hit enter to run a hundred-million dollar statistical arbitrage system, what he decoded from brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality. When an ex-Morgan Stanley colleague was shown this book his response was: I might pay you quite a lot to not publish – that's a lot of insight into what works and what doesn't. |
| financial data market size: Advances in Investment Analysis and Portfolio Management (New Series) Vol．10 Cheng F. Lee, 2020-12-01 Advances in Investment Analysis and Portfolio Management (New Series) is an annual publication designed to disseminate developments in the area of investment analysis and portfolio management. The publication is a forum for statistical and quantitative analyses of issues in security analysis, portfolio management, options, futures, and other related issues. The objective is to promote interaction between academic research in finance, economics, and accounting and applied research in the financial community. |
| financial data market size: Investment In Startups And Small Business Financing Farhad Taghizadeh-hesary, Naoyuki Yoshino, Chul Ju Kim, Peter J Morgan, Daehee Yoon, 2021-08-03 Successful startups and small businesses can play a significant role in economic growth and job creation. They also contribute to economic dynamism by spurring innovation and injecting competition. Startups are known to introduce new products and services that can create new value in the economy. It is notable that most startups exit within their first ten years, and most surviving young businesses do not grow but remain small. Startups and small businesses face several obstacles to their development. Accessing capital is a crucial constraint on their growth. Most startups and small businesses have difficulties getting the funds they need because of their lack of a performance track record and lack of collateral, making it difficult for lenders or investors to assess their risk. Besides, they are in the early stages of development and face a very high possibility of failure, which significantly raises financing and investment risk.Investment in Startups and Small Business Financing provides 12 thematic and case studies on new methods for bringing private investment (loans or equity) to startups and easing small businesses' access to finance (debt and capital). The contributors are senior-level policy experts and researchers from governments, think tanks, academia, and international organizations. The chapters are authored in a policy-oriented way to be understandable for the readers with a different background. This book is a precious source for the governments for adopting the right policies to develop small businesses and startups and valuable for the researchers in economics, business, and finance. |
| financial data market size: Market Models Carol Alexander, 2001-12-04 In part 1, Carol Alexander brings many new insights to the pricing and hedging of options with her understanding of volatility and correlation, and the uncertainty which surrounds these key determinants of option portfolio risk. Modelling the market risk of portfolios is covered in part 2 where the main focus is on a linear algebraic approach; the covariance matrix and principal component analysis are developed as key tools for the analysis of financial systems. The traditional time series econometric approach is explained in part 3, with coverage ranging from the application cointegration to long-short equity hedge funds, to high-frequency data prediction using neural networks and nearest neighbour algorithms . Throughout this text the emphasis is on understanding concepts and implementing solutions. It has been designed to be accessible to a very wide audience: the coverage is comprehensive and complete and the technical appendix makes the book largely self-contained. |
| financial data market size: Financial Valuation James R. Hitchner, 2006-09-30 Praise for Financial Valuation This Second Edition addresses virtually all of the recent hot topics in business valuation, and there are many of them since the first edition. Most chapters are updated with new material, including, especially, the Duff & Phelps Risk Premium Report as an alternative to Ibbotson's risk premium data. As with the first edition, the authors are very well-known and provide incisive analysis. --Shannon Pratt, CFA, FASA, MCBA, CM&AA, CEO, Shannon Pratt Valuations, LLC Though the first edition of Mr. Hitchner's book was excellent in all regards, this Second Edition squarely puts Hitchner and his team of authors at the top of the list of authorities in the field of business valuation. Few publications on the subject even come close to the book's thorough coverage of the topic, but equally impressive is the clarity with which Hitchner depicts and explains highly complex subject matters. So impressed with Financial Valuation Applications and Models, the National Association of Certified Valuation Analysts has developed a three-day course based upon this book entitled, 'Advanced Valuation and Case Study Workshop,' which is now a cornerstone training program for our organization. --Parnell Black, MBA, CPA, CVA, Chief Executive Officer, NACVA This book is a valuable resource for every BV library. It has material not covered in other BV books and this Second Edition has much more information than the first. Financial Valuation Applications and Models is the primary textbook for AICPA's business valuation education and it covers most of the topics on the test for the AICPA's Accredited in Business Valuation (ABV) credential. Its thirty authors are nationally respected practitioners who have written this book for practitioners. Many of the authors are current or former members of the AICPA Business Valuation Committee and the AICPA BV Hall of Fame. --Michael A. Crain, CPA/ABV, ASA, CFA, CFE, Chair, AICPA Business Valuation Committee, Managing Director, The Financial Valuation Group This book has a tremendous wealth of information that all valuation analysts must have in their libraries. From those just starting their careers to the most experienced practitioner, all valuation analysts will benefit from the invaluable information, ranging from fundamental practices to the most innovative economic and valuation ideas of today. --Scott R. Saltzman, CPA, CVA, ASA, DABFA, Managing Member, Saltzman LLC; President, National Association of Certified Valuation Analysts Coauthors: Mel H. Abraham, R. James Alerding, Terry Jacoby Allen, Larry R. Cook, Michael A. Crain, Don M. Drysdale, Robert E. Duffy, Edward J. Dupke, Nancy J. Fannon, John R. Gilbert, Chris Hamilton, Thomas E. Hilton, James R. Hitchner, Steven D. Hyden, Gregory S. Koonsman, Mark G. Kucik, Eva M. Lang, Derald L. Lyons, Michael J. Mard, Harold G. Martin Jr., Michael Mattson, Edward F. Moran Jr., Raymond E. Moran, James S. Rigby Jr., Ronald L. Seigneur, Robin E. Taylor, Linda B. Trugman, Samuel Y. Wessinger, Don Wisehart, and Kevin R. Yeanoplos |
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