macroeconomic forecasting using alternative data

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Macroeconomic Forecasting Using Alternative Data
Author : Apurv Jain
Publisher : Academic Press
Release Date : 2020-12-01
ISBN 10 : 0128191228
Pages : 250 pages
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Macroeconomic Forecasting Using Alternative Data: Techniques for Applying Big Data and Machine Learning 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 improves forecasting accuracy when controlled for traditional data sources Provides new innovative methods for handling large databases and improving forecasting accuracy

Handbook of US Consumer Economics
Author : Andrew Haughwout,Benjamin Mandel
Publisher : Academic Press
Release Date : 2019-08-15
ISBN 10 : 0128135247
Pages : 550 pages
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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
Author : Peter Fuleky
Publisher : Springer Nature
Release Date : 2019-11-28
ISBN 10 : 3030311503
Pages : 719 pages
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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.

Fintech with Artificial Intelligence, Big Data, and Blockchain
Author : Paul Moon Sub Choi
Publisher : Springer Nature
Release Date :
ISBN 10 : 9813361379
Pages : 329 pages
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EIA Data Index
Author : N.A
Publisher : N.A
Release Date : 1980
ISBN 10 :
Pages : 329 pages
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Indexes the tables, graphs, and formatted data presented in the statistical publications of the EIA.

A Companion to Economic Forecasting
Author : Michael P. Clements,David F. Hendry
Publisher : John Wiley & Sons
Release Date : 2008-04-15
ISBN 10 : 140517191X
Pages : 616 pages
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A Companion to Economic Forecasting provides an accessible and comprehensive account of recent developments in economic forecasting. Each of the chapters has been specially written by an expert in the field, bringing together in a single volume a range of contrasting approaches and views. Uniquely surveying forecasting in a single volume, the Companion provides a comprehensive account of the leading approaches and modeling strategies that are routinely employed.

Macroeconomic Forecasting in the Era of Big Data
Author : Peter Fuleky
Publisher : Springer Nature
Release Date : 2019-11-28
ISBN 10 : 3030311503
Pages : 719 pages
GET BOOK!

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.

Multiple-Aspect Analysis of Semantic Trajectories
Author : Konstantinos Tserpes,Chiara Renso,Stan Matwin
Publisher : Springer Nature
Release Date : 2020-01-01
ISBN 10 : 3030380815
Pages : 133 pages
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This open access book constitutes the refereed post-conference proceedings of the First International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019, held in conjunction with the 19th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 full papers presented were carefully reviewed and selected from 12 submissions. They represent an interesting mix of techniques to solve recurrent as well as new problems in the semantic trajectory domain, such as data representation models, data management systems, machine learning approaches for anomaly detection, and common pathways identification.

The Book of Alternative Data
Author : Alexander Denev,Saeed Amen
Publisher : John Wiley & Sons
Release Date : 2020-06-29
ISBN 10 : 1119601800
Pages : 416 pages
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The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors—leading experts in financial modeling, machine learning, and quantitative research and analytics—employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasets Treats the processes needed to make alternative data signals operational Helps investors and risk managers rethink how they engage with alternative datasets Features practical use case studies in many different financial markets and real-world techniques Describes how to avoid potential pitfalls and missteps in starting the alternative data journey Explains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.

The Business Review
Author : Federal Reserve Bank of Philadelphia
Publisher : N.A
Release Date : 2005
ISBN 10 :
Pages : 329 pages
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Economic and Business Forecasting
Author : John E. Silvia,Azhar Iqbal,Kaylyn Swankoski,Sarah Watt,Sam Bullard
Publisher : John Wiley & Sons
Release Date : 2014-03-10
ISBN 10 : 1118569547
Pages : 400 pages
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Discover the secrets to applying simple econometric techniques to improve forecasting Equipping analysts, practitioners, and graduate students with a statistical framework to make effective decisions based on the application of simple economic and statistical methods, Economic and Business Forecasting offers a comprehensive and practical approach to quantifying and accurate forecasting of key variables. Using simple econometric techniques, author John E. Silvia focuses on a select set of major economic and financial variables, revealing how to optimally use statistical software as a template to apply to your own variables of interest. Presents the economic and financial variables that offer unique insights into economic performance Highlights the econometric techniques that can be used to characterize variables Explores the application of SAS software, complete with simple explanations of SAS-code and output Identifies key econometric issues with practical solutions to those problems Presenting the "ten commandments" for economic and business forecasting, this book provides you with a practical forecasting framework you can use for important everyday business applications.

JOUNRAL OF MONETARY ECONOMICS
Author : N.A
Publisher : N.A
Release Date : 2003
ISBN 10 :
Pages : 329 pages
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