Produktbild: Prediction and Causality in Econometrics and Related Topics

Prediction and Causality in Econometrics and Related Topics

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213,99 €

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Studies in Computational Intelligence 983

ISBN: 3030770931
ISBN 13: 9783030770938
Herausgeber: Nguyen Ngoc Thach/Doan Thanh Ha/Nguyen Duc Trung et al
Verlag: Springer Verlag GmbH
Umfang: xi, 682 S., 47 s/w Illustr., 129 farbige Illustr., 682 p. 176 illus., 129 illus. in color.
Erscheinungsdatum: 27.07.2021
Auflage: 1/2022
Produktform: Gebunden/Hardback
Einband: Gebunden

This book provides the ultimate goal of economic studies to predict how the economy develops-and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book’s chapters; they use both more traditional and more innovative techniques-including quantum ideas — to make predictions about the world economy (international trade, exchange rates), about a country’s economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy. This book helps practitioners and researchers to learn more about prediction and causality in economics — and to further develop this important research direction.

Artikelnummer: 2116645 Kategorie:

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E-Mail: juergen.hartmann@springer.com

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