Prediction and Causality in Econometrics and Related Topics - Studies in Computational Intelligence
1st Edition 2022
Hardback (27 Jul 2021)
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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.
Book information
ISBN: | 9783030770938 |
Publisher: | Springer International Publishing |
Imprint: | Springer |
Pub date: | 27 Jul 2021 |
Edition: | 1st Edition 2022 |
Language: | English |
Number of pages: | 682 |
Weight: | 1143g |
Height: | 235mm |
Width: | 155mm |
Spine width: | 38mm |