| 书目名称 | Prediction and Causality in Econometrics and Related Topics |
| 编辑 | Nguyen Ngoc Thach,Doan Thanh Ha,Vladik Kreinovich |
| 视频video | |
| 概述 | Provides recent research on Econometrics for Financial Applications.Introduces theoretical foundations and applications.Fourth International Econometric Conference of Vietnam—ECONVN2021, Ho Chi Minh C |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | 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.. |
| 出版日期 | Book 2022 |
| 关键词 | Computational Intelligence; Intelligent Systems; Econometrics; Financial Applications; ECONVN2021 |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-77094-5 |
| isbn_softcover | 978-3-030-77096-9 |
| isbn_ebook | 978-3-030-77094-5Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:10:40
