Prediction and Causality in Econometrics and Related Topics (Studies in Computational Intelligence, 983, Band 983) Trung Nguyen, Duc, Nguyen Ngoc Thach Vladik Kreinovich a. o.. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2021
Serie: Libro 479 di 538 - Studies in Computational Intelligence
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- Usato

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Prediction and Causality in Econometrics and Related Topics (Studies in Computational Intelligence, 983, Band 983) In deutscher Sprache. pages.
Codice articolo BN503099
- Titolo
- Prediction and Causality in Econometrics and Related Topics (Studies in Computational Intelligence, 983, Band 983) Trung Nguyen, Duc, Nguyen Ngoc Thach Vladik Kreinovich a. o.
- Autore
- Trung Nguyen, Duc, Nguyen Ngoc Thach Vladik Kreinovich a. o.
- Editore
- Springer
- Anno di pubblicazione
- 2021
- Condizione
- gut
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 3030770931
- ISBN 13
- 9783030770938
- Edizione
- 2021.
- Peso dell'articolo
- 2000 grammi
- Serie
- Libro 479 di 538: Studies in Computational Intelligence
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.
This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Dalla quarta di copertina
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.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.
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