Data Science for Economics and Finance: Methodologies and Applications

This open-access book explores the use of data science, advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, and time series analysis for applications in economics and finance. It showcases successful applications of advanced data science solutions to extract new knowledge from data and improve economic forecasting models. The book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, providing them with an understanding of the main opportunities and challenges, methodological findings, and tools and frameworks for using data science.

Format: Paperback / softback
Length: 355 pages
Publication date: 10 June 2021
Publisher: Springer Nature Switzerland AG

This comprehensive open-access book delves into the realm of data science, encompassing advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, and numerous other applications. Furthermore, it showcases successful instances of advanced data science solutions employed to extract valuable insights from data, enhancing economic forecasting models.

The book commences with an introductory chapter that provides an overview of the utilization of data science technologies in economics and finance. Subsequently, it comprises thirteen chapters, each presenting compelling success stories of applying specific data science methodologies to address various topics related to novel big data sources and technologies for economic analysis. These topics encompass social media and news, big data models leveraging supervised/unsupervised (deep) machine learning, natural language processing for constructing economic and financial indicators, and forecasting and nowcasting of economic variables through time series analysis.

This book holds immense relevance for all stakeholders engaged in digital and data-intensive research in economics and finance. It serves as a valuable resource, aiding them in comprehending the primary opportunities and challenges, gaining familiarity with the latest methodological findings, and learning how to employ and assess the performance of novel tools and frameworks. Primarily targeting data scientists and business analysts leveraging data science technologies, this book also proves to be an invaluable resource for research students in disciplines and courses related to these topics.

In conclusion, readers will acquire modern and effective data science solutions to drive tangible innovations for economic and financial applications.

Weight: 574g
Dimension: 155 x 232 x 25 (mm)
ISBN-13: 9783030668938
Edition number: 1st ed. 2021