Prediction and Causality in Econometrics and Related Topics (1st ed. 2022) (Studies in Computational Intelligence #983)
By: and and and
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- Synopsis
- 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.
- Copyright:
- 2022
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030770945
- Related ISBNs:
- 9783030770938
- Publisher:
- Springer International Publishing
- Date of Addition:
- 08/27/21
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Nguyen Ngoc Thach
- Edited by:
- Doan Thanh Ha
- Edited by:
- Nguyen Duc Trung
- Edited by:
- Vladik Kreinovich
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- by Nguyen Ngoc Thach
- by Doan Thanh Ha
- by Nguyen Duc Trung
- by Vladik Kreinovich
- in Nonfiction
- in Technology