Data Science for Economics and Finance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science for Economics and Finance write by Sergio Consoli. This book was released on 2021. Data Science for Economics and Finance available in PDF, EPUB and Kindle. This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Financial Data Analytics
Financial Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Financial Data Analytics write by Sinem Derindere Köseoğlu. This book was released on 2022-04-25. Financial Data Analytics available in PDF, EPUB and Kindle. 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.
Data Analysis for Business, Economics, and Policy
Data Analysis for Business, Economics, and Policy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analysis for Business, Economics, and Policy write by Gábor Békés. This book was released on 2021-05-06. Data Analysis for Business, Economics, and Policy available in PDF, EPUB and Kindle. A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Data Science and Multiple Criteria Decision Making Approaches in Finance
Data Science and Multiple Criteria Decision Making Approaches in Finance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science and Multiple Criteria Decision Making Approaches in Finance write by Gökhan Silahtaroğlu. This book was released on 2021-05-29. Data Science and Multiple Criteria Decision Making Approaches in Finance available in PDF, EPUB and Kindle. This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM) methods. It introduces readers to a range of data science methods, and demonstrates their application in the fields of business, health, economics, finance and engineering. In addition, it provides suggestions based on the assessment results on each topic, which can help to enhance the efficiency of the financial system and the sustainability of economic development. Given its scope, the book will help readers broaden their perspective on the assessment and evaluation of financial issues using data science and MCDM approaches.
Data Science for Financial Econometrics
Data Science for Financial Econometrics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science for Financial Econometrics write by Nguyen Ngoc Thach. This book was released on 2020-11-13. Data Science for Financial Econometrics available in PDF, EPUB and Kindle. This book offers an overview of state-of-the-art econometric techniques, with a special emphasis on financial econometrics. There is a major need for such techniques, since the traditional way of designing mathematical models – based on researchers’ insights – can no longer keep pace with the ever-increasing data flow. To catch up, many application areas have begun relying on data science, i.e., on techniques for extracting models from data, such as data mining, machine learning, and innovative statistics. In terms of capitalizing on data science, many application areas are way ahead of economics. To close this gap, the book provides examples of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques.
