Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Prediction and Causality in Econometrics and Related Topics
Details
This book provides the ultimate goal of economic studies to predict how the economy developsand 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 techniquesincluding 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.
Provides recent research on Econometrics for Financial Applications Introduces theoretical foundations and applications Fourth International Econometric Conference of VietnamECONVN2021, Ho Chi Minh City, Vietnam, January 11-13, 2021
Inhalt
Prediction intervals for the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) via the LUBE method.- Analysis and Modeling of Information Security Information Security Systems in Industry 4.0.- Using Non-linear Integral Models in Automatic Control and Measurement Systems for Sensors' Input Signals' Recovery.- Neural Network Method and Algorithm for Document Detection Based on Signaling Analysis.- Using fuzzy probabilistic implication in Z-set based inference.- Accounting experience between fuzzy integral and Z-numbers.- The Impact of In-Store Environment on Purchase Intention in Supermarkets.- A recurrent method for structural-parametric identification of fuzzy neural networks.- Voltage Control System for Electrical Networks Based on Fuzzy Sets.- Algorithms for the Synthesis of Optimal Linear-Quadratic Stationary Controllers.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783030770938
- Genre Technology Encyclopedias
- Editor Nguyen Ngoc Thach, Doan Thanh Ha, Nguyen Duc Trung, Vladik Kreinovich
- Lesemotiv Verstehen
- Anzahl Seiten 696
- Herausgeber Springer
- Größe H241mm x B160mm x T43mm
- Jahr 2021
- EAN 9783030770938
- Format Fester Einband
- ISBN 3030770931
- Veröffentlichung 27.07.2021
- Titel Prediction and Causality in Econometrics and Related Topics
- Untertitel Studies in Computational Intelligence 983
- Gewicht 1197g
- Sprache Englisch