Macroeconomic Forecasting Using Alternative Data Book

Macroeconomic Forecasting Using Alternative Data


  • Author : Apurv Jain
  • Publisher : Academic Press
  • Release Date : 2020-08
  • Genre: Business & Economics
  • Pages : 250
  • ISBN 10 : 012819121X
  • Total Read : 73
  • File Size : 13,9 Mb

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Macroeconomic Forecasting Using Alternative Data Summary:

Macroeconomic Forecasting Using Alternative Data applies computer science to the demands of macroeconomic forecasting. It is the first book to combine machine learning methods with macroeconomics. By using artificial intelligence and machine learning techniques, it unlocks the increased forecasting accuracy offered by alternative data sources. Through its interdisciplinary approach, readers learn how to use big datasets efficiently and effectively. Combines big data/machine learning with macroeconomic forecasting Explains how alternative data improve forecasting accuracy when controlled for traditional data sources Provides new innovative methods for handling large databases and improving forecasting accuracy

Alternative Economic Indicators Book

Alternative Economic Indicators


  • Author : C. James Hueng
  • Publisher : W.E. Upjohn Institute
  • Release Date : 2020-09-08
  • Genre: Business & Economics
  • Pages : 132
  • ISBN 10 : 9780880996761
  • Total Read : 66
  • File Size : 10,6 Mb

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Alternative Economic Indicators Summary:

Policymakers and business practitioners are eager to gain access to reliable information on the state of the economy for timely decision making. More so now than ever. Traditional economic indicators have been criticized for delayed reporting, out-of-date methodology, and neglecting some aspects of the economy. Recent advances in economic theory, econometrics, and information technology have fueled research in building broader, more accurate, and higher-frequency economic indicators. This volume contains contributions from a group of prominent economists who address alternative economic indicators, including indicators in the financial market, indicators for business cycles, and indicators of economic uncertainty.

Fintech with Artificial Intelligence  Big Data  and Blockchain Book

Fintech with Artificial Intelligence Big Data and Blockchain


  • Author : Paul Moon Sub Choi
  • Publisher : Springer Nature
  • Release Date : 2021-03-08
  • Genre: Technology & Engineering
  • Pages : 304
  • ISBN 10 : 9789813361379
  • Total Read : 59
  • File Size : 12,6 Mb

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Fintech with Artificial Intelligence Big Data and Blockchain Summary:

This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.

Handbook of US Consumer Economics Book

Handbook of US Consumer Economics


  • Author : Andrew Haughwout
  • Publisher : Academic Press
  • Release Date : 2019-08-15
  • Genre: Business & Economics
  • Pages : 456
  • ISBN 10 : 9780128135242
  • Total Read : 81
  • File Size : 18,7 Mb

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Handbook of US Consumer Economics Summary:

Handbook of U.S. Consumer Economics presents a deep understanding on key, current topics and a primer on the landscape of contemporary research on the U.S. consumer. This volume reveals new insights into household decision-making on consumption and saving, borrowing and investing, portfolio allocation, demand of professional advice, and retirement choices. Nearly 70% of U.S. gross domestic product is devoted to consumption, making an understanding of the consumer a first order issue in macroeconomics. After all, understanding how households played an important role in the boom and bust cycle that led to the financial crisis and recent great recession is a key metric. Introduces household finance by examining consumption and borrowing choices Tackles macro-problems by observing new, original micro-data Looks into the future of consumer spending by using data, not questionnaires

Macroeconomic Forecasting in the Era of Big Data Book

Macroeconomic Forecasting in the Era of Big Data


  • Author : Peter Fuleky
  • Publisher : Springer Nature
  • Release Date : 2019-11-28
  • Genre: Business & Economics
  • Pages : 719
  • ISBN 10 : 9783030311506
  • Total Read : 83
  • File Size : 16,7 Mb

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Macroeconomic Forecasting in the Era of Big Data Summary:

This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.

Handbook of US Consumer Economics Book

Handbook of US Consumer Economics


  • Author : Andrew Haughwout
  • Publisher : Academic Press
  • Release Date : 2019-08-12
  • Genre: Business & Economics
  • Pages : 456
  • ISBN 10 : 9780128135259
  • Total Read : 65
  • File Size : 12,9 Mb

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Handbook of US Consumer Economics Summary:

Handbook of U.S. Consumer Economics presents a deep understanding on key, current topics and a primer on the landscape of contemporary research on the U.S. consumer. This volume reveals new insights into household decision-making on consumption and saving, borrowing and investing, portfolio allocation, demand of professional advice, and retirement choices. Nearly 70% of U.S. gross domestic product is devoted to consumption, making an understanding of the consumer a first order issue in macroeconomics. After all, understanding how households played an important role in the boom and bust cycle that led to the financial crisis and recent great recession is a key metric. Introduces household finance by examining consumption and borrowing choices Tackles macro-problems by observing new, original micro-data Looks into the future of consumer spending by using data, not questionnaires

Data Science for Economics and Finance Book

Data Science for Economics and Finance


  • Author : Sergio Consoli
  • Publisher : Springer Nature
  • Release Date : 2021
  • Genre: Application software
  • Pages : 357
  • ISBN 10 : 9783030668914
  • Total Read : 87
  • File Size : 16,7 Mb

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Data Science for Economics and Finance Summary:

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.

Adventures In Financial Data Science  The Empirical Properties Of Financial And Economic Data  Second Edition  Book

Adventures In Financial Data Science The Empirical Properties Of Financial And Economic Data Second Edition


  • Author : Graham L Giller
  • Publisher : World Scientific
  • Release Date : 2022-06-27
  • Genre: Business & Economics
  • Pages : 512
  • ISBN 10 : 9789811251825
  • Total Read : 99
  • File Size : 9,8 Mb

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Adventures In Financial Data Science The Empirical Properties Of Financial And Economic Data Second Edition Summary:

This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world.The book begins with entertaining tales from Graham Giller's career in finance, starting with speculating in UK government bonds at the 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 his brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality.The majority of the content is a narrative of analytic work done on financial, economics, and alternative data, structured around both Dr Giller's professional career and some of the things that just interested him. 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.'