Macroeconomic Forecasting Using Alternative Data

Macroeconomic Forecasting Using Alternative Data
Author: Apurv Jain
Publsiher: Academic Press
Total Pages: 250
Release: 2020-12-01
Genre: Business & Economics
ISBN: 9780128191224

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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

Macroeconomic Forecasting in the Era of Big Data

Macroeconomic Forecasting in the Era of Big Data
Author: Peter Fuleky
Publsiher: Springer Nature
Total Pages: 716
Release: 2019-11-28
Genre: Business & Economics
ISBN: 9783030311506

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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.

Data Science for Economics and Finance

Data Science for Economics and Finance
Author: Sergio Consoli,Diego Reforgiato Recupero,Michaela Saisana
Publsiher: Springer Nature
Total Pages: 357
Release: 2021
Genre: Application software
ISBN: 9783030668914

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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.

Macroeconomic Forecasting Using Alternative Data

Macroeconomic Forecasting Using Alternative Data
Author: Apurv Jain
Publsiher: Academic Press
Total Pages: 250
Release: 2020-08
Genre: Business & Economics
ISBN: 012819121X

Download Macroeconomic Forecasting Using Alternative Data Book in PDF, Epub and Kindle

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

Handbook of US Consumer Economics

Handbook of US Consumer Economics
Author: Andrew Haughwout,Benjamin Mandel
Publsiher: Academic Press
Total Pages: 456
Release: 2019-08-12
Genre: Business & Economics
ISBN: 9780128135259

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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 Using Pooled International Data

Macroeconomic Forecasting Using Pooled International Data
Author: Antonio García Ferrer,Richard Alan Highfield,Franz C. Palm,Arnold Zellner
Publsiher: Unknown
Total Pages: 67
Release: 1985
Genre: Electronic Book
ISBN: OCLC:28795458

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Alternative Economic Indicators

Alternative Economic Indicators
Author: C. James Hueng
Publsiher: W.E. Upjohn Institute
Total Pages: 133
Release: 2020-09-08
Genre: Business & Economics
ISBN: 9780880996761

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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.

Economic Forecasting

Economic Forecasting
Author: Elia Kacapyr
Publsiher: M.E. Sharpe
Total Pages: 224
Release: 1996
Genre: Economic forecasting
ISBN: 1563247658

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Widening the focus from the usual business forecasts, explains the techniques for predicting macroeconomic factors such as economic growth, interest rates, and employment. Reviews the concepts of business cycles and long waves, then describes techniques using economic indicators, time series, econometric models, and consensus. Also considers the evaluation of forecasts. Readers with a solid background in mathematics and statistics should learn now to make forecasts; others should get an intuitive understanding that will improve their interpretation of forecasts by others. Paper edition (unseen), $29.95. Annotation copyright by Book News, Inc., Portland, OR